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. 2021 Mar 31;121(8):4999–5041. doi: 10.1021/acs.chemrev.0c01234

Magnetically Driven Micro and Nanorobots

Huaijuan Zhou , Carmen C Mayorga-Martinez , Salvador Pané , Li Zhang §, Martin Pumera †,⊥,¶,#,∥,*
PMCID: PMC8154323  PMID: 33787235

Abstract

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Manipulation and navigation of micro and nanoswimmers in different fluid environments can be achieved by chemicals, external fields, or even motile cells. Many researchers have selected magnetic fields as the active external actuation source based on the advantageous features of this actuation strategy such as remote and spatiotemporal control, fuel-free, high degree of reconfigurability, programmability, recyclability, and versatility. This review introduces fundamental concepts and advantages of magnetic micro/nanorobots (termed here as “MagRobots”) as well as basic knowledge of magnetic fields and magnetic materials, setups for magnetic manipulation, magnetic field configurations, and symmetry-breaking strategies for effective movement. These concepts are discussed to describe the interactions between micro/nanorobots and magnetic fields. Actuation mechanisms of flagella-inspired MagRobots (i.e., corkscrew-like motion and traveling-wave locomotion/ciliary stroke motion) and surface walkers (i.e., surface-assisted motion), applications of magnetic fields in other propulsion approaches, and magnetic stimulation of micro/nanorobots beyond motion are provided followed by fabrication techniques for (quasi-)spherical, helical, flexible, wire-like, and biohybrid MagRobots. Applications of MagRobots in targeted drug/gene delivery, cell manipulation, minimally invasive surgery, biopsy, biofilm disruption/eradication, imaging-guided delivery/therapy/surgery, pollution removal for environmental remediation, and (bio)sensing are also reviewed. Finally, current challenges and future perspectives for the development of magnetically powered miniaturized motors are discussed.

1. Introduction

Many species in nature, such as magnetotactic bacteria, birds, bats, butterflies, lobsters, and salmon, can fly or swim over a long distance by perceiving navigation cues from geomagnetic fields. Some species (e.g., Amitermes meridionalis) even have the ability to (re)orient their bodies or nests according to geomagnetic information. Similarly, the locomotion of nanoscale and microscale objects in a predefined path by the navigation of magnetic fields,14 which are mainly generated by moving charges (i.e., electric currents) and magnetic materials (such as permanent magnets), has drawn extensive attention owing to their tremendous potential for applications in biomedicine and environmental remediation. Such miniaturized objects are normally termed as “magnetically driven micro/nanorobots” (called “MagRobots” for short in this review), which is an important branch of micro and nanorobots.

Micro/nanorobots are locomotive artificial machines with size in the micro or nanoscale and rationally designed to execute tasks on command via self-propulsion or an externally controlled propulsion mechanism. Ideally, micro/nanorobots should have the ability to undertake tasks via encapsulation/functionalization with diagnostic or therapeutic agents, decoration with functional materials, or being fabricated into special micro/nano architectures; “delivery tasks” by moving toward targeted sites in a user-defined path or a theoretically and experimental optimized path; “execute tasks”, for example, killing diseased cells/tissues, removing environmental pollutants as required; and “exit tasks” after the task accomplishment via recycling or in situ degradation. During task implementation, locomotion behavior is of great importance for micro and nanorobots. The migration of micro and nanorobots can be powered by multiple strategies including chemical catalysis (e.g., O2 or H2 generation) or chemical gradients,511 external energy sources (e.g., magnetic field,1214 light,1521 acoustic wave,2225 or electrical field2628), and even motile cells (e.g., sperm cell, bacterial cell).2937 According to the power source, micro/nanorobots can be classified as chemically driven (or fuel-driven), magnetically driven, light-driven, ultrasound-driven, electrically driven. The word “driven” can be replaced by “powered”, “actuated”, or “propelled”. According to their functionalities, micro/nanorobots can be named as micro/nanogrippers,3840 micro/nanodrillers,41 micro/nanocleaners,42,43 micro/nanoscavengers,44 etc. Readers can refer to our latest review45 to obtain a more detailed classification of micro/nanorobots based on geometric shapes, motion modes, and functionalities.

Chemically propelled micro/nanorobots are faster than those with other propulsion methods, but their locomotion lacks directionality. Moreover, they require toxic fuels such as H2O2, N2H4, HCl, urea, and NaBH4.46,47 In comparison, those micro/nanorobots powered by external physical fields (such as magnetic, ultrasound, light, and electric fields) do not need toxic chemical fuels for propulsion, but their motion is relatively slow.4852 Light-propelled micro/nanorobots can move in water; however, depending on their composition, they need H2O2 and a high-intensity light source, which could compromise their biocompatibility. On the other hand, micro/nanomotors propelled by ultrasound are biocompatible but lack directionality control, making it difficult for them to perform specific tasks. Finally, micro/nanomotors propelled by electric field are very promising for fuel-free locomotion; however, its biological application is still limited and not yet fully demonstrated. Magnetically driven micro/nanomotors address most disadvantages presented by others propulsion principles and, until now, have been the more explored and used in many biomedical applications as well as for environmental control and remediation. Furthermore, magnetic medical microrobots can be driven by magnetic resonance imaging (MRI) systems, thus utilizing existing clinical MRI equipment for dual purposes, namely the imaging and tracking of microrobots, and their propulsion and motion control.53,54 Likewise, clinical ultrasonography systems hold great potential to actuate ultrasonically driven microrobots.45

In addition, among all the actuation strategies, the utilization of a magnetic field for manipulating miniaturized robots has unparalleled advantages, which are summarized as follows. (i) Remote maneuverability: magnetic fields provide a noninvasive way to manipulate matter owing to the inherent contactless characteristics of magnetic forces. Such a wireless actuation method allows for micro and nano agents to move in an untethered manner while keeping their local chemical environment intact. (ii) Fuel-Free: using a magnetic field for propulsion is a clean process that does not consume liquid fuel (unlike for chemically and photochemically propelled swimmers). This feature eliminates the harmful effects of toxic chemicals (e.g., hydrogen peroxide) on cells and tissues during their biological application processes. In addition, magnetic fields exhibit insignificant dependence on features and properties of surrounding environments and cause negligible damage to cells at low frequencies. (iii) Reconfigurability and programmability of magnetic materials: reconfigurability refers to the rearrangement of the swimmer’s features such as the morphology, locomotion mode, or other motion parameters upon the application of magnetic fields or other external stimuli. Examples of reconfigurable structures are magnetically driven particulate swarms,5557 stimuli-responsive magnetic materials (i.e., ferromagnetic shape-memory alloys), or composite structures (i.e., smart magneto-polymer composites58,59 or complex origami-like architectures60). This type of structure can readily change its shape by changing the conditions of the applied magnetic fields (i.e., frequency or magnitude). Programmability refers to the ability to manipulate the components of the MagRobots in terms of their shape, magnetic shape, magnetic anisotropy,61 and crystalline anisotropy to achieve a specific motion mode, position, or orientation when magnetic fields are applied.62,63 For example, the orientation of a magnetic composite-based structure can be programmed by suitably aligning the particles within the composite matrix.60 Specific shape-morphing small-scale systems can also be designed to exhibit both reconfigurability and programmability.64 (iv) Recyclability of magnetic materials: after micro/nanorobots have completed their tasks, the separation and recycling of introduced foreign matter from water, biological fluids, or even tissues might be necessary in terms of biosafety and biocompatibility. Magnetic nano/microrobots, as they are composed of magnetic building blocks (i.e., coating, segment, particulates), allow for a feasible and convenient magnetically assisted retrieval and recycling process. (v) Versatility: by combining a magnetic field with other actuation sources, the transport and delivery of functional cargos (e.g., drugs or a single cell at the nanosize level) can be achieved with high maneuverability and sensitivity.65 Currently, various hybrid power sources, such as magneto-acoustic,22,23,66 magneto-optical,67 and magneto-chemotaxis,68 have been reported, which provide dual propulsion modes in response to multiple stimuli.

Molecular machines are molecular components capable of implementing mechanical locomotion (as output) in response to particular external stimuli (as input).6972 Stimuli can be various energy inputs such as chemical energy, electric energy, light, photochemical, electrochemical energy, or pH gradient.7377 Although molecular machines can perform very complicated functions, most functions are limited to conformational movements.7882 In terms of practical uses, particularly for biomedical applications, the operator’s real-time imaging and tracking of the tiny robots are required when they are carrying out specific tasks inside the human body.10,83 This requirement may limit the applicability of molecular machines due to their nanoscale (<10 nm) size being too small to be readily visualized using traditional imaging techniques. By contrast, larger micro- and nanorobots can provide greater feasibility for bioimaging for the applications in medical fields.53,8486 To this end, swarms of micro/nanorobots can also be used for their imaging and positioning abilities.8789

Recent reviews about micro and nanorobots that focus on fabrication techniques,51 geometric shapes (e.g., active particles,90 Janus,91 tubular,92 hybrid actuators81,93), actuation sources (e.g., light,48,49 magnetic field94), propulsion mechanisms,82 and potential applications (e.g., cancer therapy95) provide us with a basic understanding and up-to-date developments in this multidisciplinary and interdisciplinary area. A comprehensive understanding of how tiny machines behave under magnetic fields will inspire and trigger interdisciplinary and cross-disciplinary scientific and technological innovation for multiple applications. The goal of this review is to provide a general view of the locomotion behaviors of nano and microscale motors under the manipulation of a magnetic field and guidance for their rational design by describing the interaction of MagRobots and magnetic fields as well as actuation and movement mechanisms, and reporting state-of-the-art fabrication techniques. After demonstrating current applications in biological and environmental fields, a further outlook of this new and exciting field is presented.

2. Interations between Micro/Nanorobots and Magnetic Fields

2.1. Magnetic Fields and Magnetic Materials

Magnetic fields, as vector-valued functions of the position, originate from the movement of electric charge. Magnetic fields can be generated by two distinct sources: freely moving electric currents and magnetic materials. Typically, the former source is generated by the coil of an electromagnet that is externally controllable. The setups of a triaxial orthorhombic Helmholtz coil and eight electromagnetic coils (e.g., MiniMag, OctoMag) are representative and widely employed to generate magnetic fields for driving and steering MagRobots (see Section 2.2). The latter source is generated from the intrinsic magnetization of magnetic materials, specifically permanent ferromagnets, which can retain a large remnant magnetization. To manipulate micro- and nanomachines by magnetic fields, a conventional strategy consists of incorporating magnetic components into nano/microstructures. Magnetic materials can be classified as a function of the magnetic susceptibility (xm), a parameter that reflects how easy a magnetic material is magnetized. As such, magnetic materials are categorized as ferromagnetic (and ferrimagnetic) materials (xm ≫ 0), paramagnetic materials (xm > 0), and diamagnetic materials (xm < 0). Paramagnets and diamagnets are weakly attracted or repelled, respectively, to magnetic fields. Additionally, they cannot retain any magnetization once the magnetic field is removed. Ferro- and ferrimagnets are all strongly attracted to magnetic fields. Specifically, ferro- and ferrimagnets can retain magnetization, (i.e., exhibit remnant magnetization or remanence) after being subjected to a magnetic field. Usually, high remanence is a feature of hard-ferromagnetic materials, otherwise known as permanent magnets. Soft-ferromagnets, in contrast, exhibit low remanence. Both soft- and hard-magnets exhibit a hysteretic behavior, which means that to demagnetize these materials, a coercive magnetic field is necessary. This coercivity is large for hard-magnets and small for soft-magnets. Superparamagnets are a special class of materials in which features of both ferromagnets and paramagnets converge such as high susceptibility, no remanence, and no coercivity. While a few examples exist of micro/nanorobots constructed of paramagnets and diamagnets,96,97 the majority of magnetic small-scale robots have been made of ferromagnetic, ferrimagnetic, and superparamagnetic compounds. For extended details on types of magnetic materials, we suggest the reader to review the hereby indicated references.98100

When placing a magnetic small-scale robot with a volume v in an external magnetic field B, the device will display a magnetization M. If the device is subject to a magnetic field gradient ΔB, it will experience an attractive force (or repulsive if it is a diamagnet) as expressed in eq 1. If the device is subjected to a magnetic field, to minimize its energy, it will experience a torque as expressed in eq 2, which will cause the magnetic robot to orient in such a way that its easy magnetization axis is parallel to the direction of the applied magnetic field. The easy magnetization axis is usually governed by the shape (shape anisotropy) but can also be ruled by specific crystal orientations of the materials (crystalline anisotropy). Additionally, the easy magnetization axis can be programmed, for instance, by orienting magnetic nanostructures with a matrix of a composite component or by premagnetizing a material in a specific direction:

2.1. 1
2.1. 2

Both magnetic forces generated in gradient fields and magnetic torque induced by spatially homogeneous or heterogeneous dynamic fields can function as “fuel” to actuate microscopic and nanoscopic motors in various environments. In terms of magnetic torque, weak homogeneous rotating or oscillating fields (see Section 2.3), which display higher efficiency in transforming magnetic energy into kinetic energy, are highly preferable. Magnetic fields offer a maximum of six degrees of freedom (DoFs) (i.e., three translational DoFs and three rotational DoFs) for absolute spatial manipulation of micro/nanorobots, depending on the setup of electromagnetic actuation systems (see Section 2.2). For instance, the widely used uniform rotating magnetic field with triaxial Helmholtz coil can supply three rotational DoFs, while MiniMag and OctoMag have five DoFs: two rotational and three translational DoFs.

2.2. Magnetic Manipulation Systems

A typical setup platform for monitoring and actuating magnetically driven micro- and nanorobots consists of a sample stage, an optical microscope (eventually, coupled with a high-resolution camera), a magnetic manipulation system, and a computer system with video capture and analysis (Figure 1A). The magnetic manipulation system consists of a set of either permanent magnets or electromagnets107110 as the source of the magnetic field. Recent contributions97,111,112 provide a systematic review of configurations of magnetic manipulation systems that can be applied to magnetic small-scale robots with sizes ranging from nanometers to millimeters. In this review, we will only focus on the commonly used magnetic systems employed for the manipulation of nanoscale and microscale robots.

Figure 1.

Figure 1

Experimental setup for magnetically driven micro/nanorobots and various magnetic actuation systems. (A) Diagram of the typical experimental workplace for actuating and visualizing MagRobots. (B) Magnetic actuation system consists of only a single permanent magnet. (C) Permanent magnet actuation system using cylindrical NdFeB permanent magnet fixed to its end-effector and a robotic arm. Reproduced with permission from ref (101). Copyright 2017 IEEE. (D) Rotating permanent magnet system consists of a magnet, a robotic arm, and a motor. Reproduced with permission from ref (102). Copyright 2013 IEEE. (E) Electromagnetic actuation system using triaxial circular Helmholtz coils. Reproduced with permission from ref (103). Copyright Springer Science + Business Media, LLC 2013. (F) Electromagnetic actuation system using a stationary Helmholtz–Maxwell coil and a rotational Helmholtz–Maxwell coil. Reproduced with permission from ref (104). Copyright 2009 Elsevier B.V. (G) Electromagnetic actuation system using multiply coils including a Helmholtz coil, Maxwell coil, uniform saddle coil, and gradient saddle coil. Reproduced with permission from ref (105). Copyright 2010 Elsevier B.V. (H) MiniMag electromagnetic system. Reproduced with permission from ref (106). Copyright 2014 Springer-Verlag GmbH Berlin Heidelberg.

One of the main differences between systems using permanent magnets and electromagnets is the fact that the magnetic field from a permanent magnet is persistent and its magnitude cannot be quickly changed. The distribution and strength of a magnet’s field depend on its geometrical shape and size. For a magnetized object with a given geometry shape and magnetization, large magnets can project their field further into space. However, large magnets produce smaller magnetic forces as demonstrated in eq 1 because the change of field in space (i.e., spatial derivatives in the field) is less pronounced. By manually or automatically adjusting the position or orientation of a magnet, a translatory or rotational movement of MagRobots can be triggered. Direct utilization of portable magnet provides an easy-to-operate way to drive the motion of MagRobots by simply adjusting the position and orientation of a magnet (Figure 1B). Although many researchers have reported the locomotion of magnetic micro/nanorobots by using single permanent magnets, the experimental reproducibility and accuracy are challenging aspects because the movement of magnets largely depends on their operator. Given the drawbacks of manual handling, many automatically operable magnet systems have been designed by integrating a magnet with a commercial robotic arm such as the LBR Med robotic arm from KUKA Robotics Corporation (Figure 1C) and MH5 robotic arm from Yaskawa Motoman. Such an integrated system is more reliable and precise. Besides magnetic field gradients, magnetic torque can also be exerted on small-scale devices when the magnet rotates (Figure 1D), which allows for rotational actuation mechanisms.

In magnetic actuation systems based on electromagnets, magnetic fields are generated from flowing currents through coils. A typical electromagnet is formed by wrapping insulated copper wires around a ferromagnetic core, which can concentrate and amplify the magnetic field and field gradient. An ideal soft magnetic material is often used as the core in order to avoid effects of hysteresis. On-demand setting of current in each coil can result in the required configuration of magnetic fields, such as rotating field, oscillating field, alternating fields, and conical fields, which will be discussed in Section 2.3. Different arrangements of coils constitute specialized electromagnet systems such as the Helmholtz coil, the Maxwell coil, the saddle coil, and the double-saddle Golay coil (detailed information can be found in ref (113)). Helmholtz coil, containing two circular and coaxial coils with equal radius and same handedness of flowing current, is the first and most important arrangement. Because the field generated from the Helmholtz coil is near-uniform at the center of the coils, such a magnetic actuation system is appropriate for magnetic torque control.114117 Arbitrary uniform magnetic fields in a 2D plane or 3D space can be generated by two pairs of Helmholtz coils or triaxial Helmholtz coils, respectively. Triaxial circular Helmholtz coils are the most commonly used for actuating magnetic small-scale robots (Figure 1E). The combination of Helmholtz coils with other types of coils can engender systems with multi-DOF capabilities. Maxwell coil is also composed of two circular coaxial coils with equal radius, but the current flowing through different coils coil has the opposite handedness. Maxwell coils can create uniform magnetic field gradients, saddle coils can generate a uniform field or a gradient field, and double-saddle Golay coils can produce a transverse gradient. A magnetic manipulation system with a stationary Helmholtz–Maxwell coil and a rotational Helmholtz–Maxwell coil has the capacity of 3D locomotion of a magnetic small-scale robot through the control of both magnetic forces and torques (Figure 1F).104 Its upgraded system using four different coil pairs (i.e., a Helmholtz coil, a Maxwell coil, a rotatory uniform saddle coil, and a rotatory gradient saddle coil) occupies a smaller volume and consumes less driving energy (Figure 1G).105 Given the practical clinical application of biomedical micro/nanorobots, saddle coil and Golay coil with tubular construction are preferable because they have high space efficiency and, hence, are capable of accommodating the human body. For example, a widely used magnetic resonance imaging (MRI) scanner in clinical practice incorporates a Maxwell coil and two orthogonal Golay coils.118

A drawback of magnetic actuation systems consisting of paired coils lies in their restrictions on the shape and size of the workspace. In contrast, electromagnetic systems using several nonorthogonally distributed electromagnets, usually made of columnar coils with soft-iron cores, can break this limitation by arranging the electromagnets so that their generated dipoles keep their respective axes pointing to a common point in the given workspace. The first example of such configuration was the OctoMag, an electromagnet comprising a total of eight electromagnets. OctoMag is a system capable of generating magnetic forces and torques in three dimensions and allows for a 5-DOF magnetic control (3-DOF position and 2-DOF orientation).119 OctMag is composed of four evenly distributed electromagnets in a plane with the orientation of 90° from a central axis and four evenly distributed electromagnets with the orientation of 45° from a central axis. MiniMag is the scaled-down compact version of the OctoMag (Figure 1H). Utilization of OctMag and MiniMag has been reported to remotely manipulate micro- and nanorobots for targeted drug delivery,120 minimally invasive ophthalmic surgery,121 and stem cell transplantation in a rat brain.122 Other configurations of electromagnets, such as square antiprism, cubic, open asymmetric, and so on, were summarized in a recent review.113

2.3. Actuation Configurations for MagRobots

According to changes of the magnetic field vector with time, magnetic fields can be classified as static, dynamic (including a rotating magnetic field whose direction varies with time, an oscillating magnetic field whose strength varies with time), or on–off fields. Both static and dynamic magnetic fields can be homogeneous fields where the field vector modulus remains constant in space, or inhomogeneous magnetic fields where the field strength varies with position, that is, field gradient.123 Rotating magnetic fields are widely adopted to induce rotational motion. For some micro and nanomachines with specific shapes (e.g., helical structure), such temporal–periodic rotational motion can be converted into translational corkscrew motion (see Sections 3.1 and 4.2), which leads to a net spatial displacement. In contrast, oscillating magnetic fields can be utilized to activate traveling undulatory locomotion for some MagRobots such as those with soft tails (see Section 3.2) and those consisting of solid segments linked with soft hinges (see Section 4.4). Rotational magnetic fields can also induce thermophoretic motion for ferromagnetic materials by generating heat energy124 (see Section 3.4). Figure 2 summarizes different categories of magnetic fields and their corresponding field diagrams.125

Figure 2.

Figure 2

Classifications and configurations of magnetic fields in relation to the motion of MagRobots.

2.4. Effective Movements in MagRobots: “Symmetry-Breaking Strategies”

To begin this section, we would like to briefly introduce the hydrodynamic laws to understand how small-scale robots swim in a fluid. The Navier–Stokes equation, arising from Newton’s second law, describes the motion of a Newtonian fluid as follows (eq 3):

2.4. 3

where vector ν and vector p (both of which are a function of position and time) are the flow velocity and pressure, respectively; ρ and η are the density and viscosity of the flow, respectively. The left-hand of the Navier–Stokes equation comprises the inertial forces, while the right-hand corresponds to the viscous forces. Here, we introduce an important dimensionless quantity called the Reynolds number (Re, expressed in eq 4), which is the ratio of inertial and viscous forces:

2.4. 4

where L is the characteristic length of an object moving in a fluid.

For small-scale devices and organisms (i.e., motile cells, bacteria), L is very small (Re ≈ 10–4), which means that viscous forces rule their motion. A typical analogy of swimming at low Re is that a bacteria swimming in water is similar to a person swimming in honey. Considering that inertia forces are negligible in the low Re regimes, the Navier–Stokes equation can be simplified as an expression known as the Stokes equation:

2.4. 5

Note that this hydrodynamic equation is time-independent, meaning that no net displacement will occur after completing a cyclic process no matter if the speed of the swimmer is fast or slow. In other words, the resultant fluid flow exhibits instantaneous and time-reversible features. This is the so-called “Scallop Theorem,” as introduced by the Nobel laureate Purcell (Figure 3A). At low Reynolds number, a microscopic scallop can only perform back and forward movement (i.e., reciprocal motion). Once the actuation energy (such as a magnetic field) is removed, its motion is immediately halted due to the lack of inertial forces. Importantly, to generate a nonreciprocal translatory movement to execute tasks such as cargo delivery, Figure 3B summarizes some strategies employed to break Purcell’s Scallop Theorem. The first method involves fabricating a small-scale robot with an asymmetric shape such as a tubular,126 helical,60,127,128 fish-like,129 annelid-worm-like,130 tadpole-like,131 bullet-shaped,22 star-shaped,132 or even random-shaped133,134 structure. In addition, an asymmetric shape (e.g., carpet,135 ribbon56) can also be formed by self-assembling colloid particles with a symmetric shape based on collective behavior.90 A second approach consists of creating a micro- or nanostructure containing a flexible component, for example, a flexible tail, which can mimic the flagellum of a microorganism.81,136 Velocity distribution (indexed by frame number of a video sequence) of a single beating flagellum or cilium from a cell or a microorganism during one cycle137 indicated the generated traveling-wave motion (see Section 3.2) is nonreciprocal. Incorporating flexible components in between rigid structures to create multilink micro or nanoassemblies is also another possibility, which will be further discussed in Section 4.4. A recent strategy consists of integrating motile flagellated microorganisms and cells with magnetic micro and nanostructures to create biohybrid MagRobots (see Section 4.5). A third approach entails the use of a nonsymmetric actuation magnetic field. For example, a symmetric small structure can exhibit a translational motion by means of a traveling-wave138 or a cilia-beating motion mechanism139 under a nonsymmetric actuation field. The fourth approach is based on actuating magnetic small-scale devices in the proximity of a boundary (e.g., wall, interface) to break the spatial symmetry. The motion mechanism based on this method is called “surface-assisted propulsion”, which will be discussed in Section 3.3. All these symmetry-breaking strategies evade the constraints of the famous Scallop Theorem.100 Note that the Scallop Theorem only applies to Newtonian fluids. Time-reversible reciprocal locomotion can still generate an effective propulsion in non-Newtonian fluids (e.g., blood, saliva, mucus).140

Figure 3.

Figure 3

(A) Schematic image of Purcell’s scallop presenting a nonreciprocal motion in a high Reynolds number fluid and reciprocal motion in a low Reynolds number fluid with no net replacement (so-called “Scallop Theorem”141). (B) Summary of five strategies (S1–S6) to break the Scallop Theorem to produce an effective movement. S2 is reproduced with permission from refs (137 and 140). Copyright 2014, Brumley et al. This article is distributed under the terms of the Creative Commons Attribution License. S4 is reproduced with permission from ref (142). Copyright 2015 The authors. S5 is reproduced with permission from refs (137 and 140). Copyright 2014 Macmillan Publishers Limited. This is an open access article distributed under the terms of the Creative Commons CC BY license.

3. Actuation and Mechanisms of Magnetic Robots

Compared with macroscale motile robots, micro and nanoscale robots experience totally distinctive hydrodynamics. Hence, they exhibit distinctive assorted motion behaviors. A good understanding of various propulsion mechanisms is the basis for the design of propulsion microsystems including the shape and architecture of micro and nanorobots as well as the configuration of the magnetic field. The designed propulsion system must be able to overcome various resistive forces in the micro and nanodomains to realize the motion of small-scale robots effectively. The translational mechanisms of magnetic miniaturized machines could be broadly divided into three types: (a) corkscrew motion, (b) undulatory motion (i.e., traveling-wave motion), and (c) surface-assisted propulsion (i.e., surface walker).

3.1. Corkscrew-like Motion

In nature, many microorganisms can coordinate their propulsion and orientation behaviors according to external stimuli with a motile appendage called a flagellum. Eukaryotic cells (e.g., spermatozoa) can produce a traveling-wave motion by making use of a flexible beating flagellum. In contrast, prokaryotic cells can perform a corkscrew-type motion by rotating their helical flagella. Bacteria (e.g., E. coli), as a representative of prokaryotic organisms, rely on the rotation of flagella for swimming. The flagellum, containing a basal body, a hook, and a filament, is the fundamental organelle for bacterial motion. There is a reversible motor inside the basal body controlling the rotation of the flagellum. The flagellum can not only trigger reorientation of the organism but also make them move forward and back. When the flagellum rotates in one direction with an action frequency ω1, the cell body counter-rotates with the reaction frequency ω22 and ω1 are not equal) to balance the produced torque (Figure 4A). Inspired by the bacterial flagellum for efficient movement, man-made helical micronanomachines, known as artificial bacterial flagella (ABF),143146 have been developed and investigated. Although there is no motor in the ABF system, external rotating magnetic fields provide a similar function for generating the rotation.

Figure 4.

Figure 4

Flagellar-based propulsion mechanisms. (A) Rotation of bacterial flagellum at frequency ω1 through rotary motor inside and a counter-rotation of the head at frequency ω2, while head and tail of ABF rotate in the same direction. (B) Typical types of magnetic ABFs. Reproduced with permission from ref (149). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (C) Field frequency-dependent ABF movement: ABF wobbles with a wobbling angle at low frequency; wobbling movement transforms into corkscrew-like swimming; then the wobbling decreases to zero at high rotational frequencies. Example of frequency-dependent propulsion of MOF-based helical swimmers. Reproduced with permission from ref (155). Copyright 2019 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

As discussed earlier, a MagRobot will align its easy magnetization axis parallel with the direction of a local homogeneous field upon experiencing a magnetic torque in that magnetic field. A continuously applied torque to a micro/nanoobject under an external rotating field gives rise to the rotational movement of the body. For artificial magnetic micromachines containing chiral helices, a steady rotation around their helical axis can be effectively converted into nonreciprocal translational motion, with the direction parallel with the rotating axis of a two-dimensional planar rotating field. At the same time, the tail and head (sometimes it has no head) of ABF perform the same (clockwise or counterclockwise) orientation. This is distinct from bacteria, whose head and tail rotate in the opposite orientation. If the ABF consists of a single rigid body, then the head and tail will rotate with the same frequency (ωh = ωt). Moreover, the progression direction (forward or backward) can be easily inverted by reversing the direction of rotation (i.e., clockwise or counterclockwise) of an applied magnetic field. In the magnetically actuated ABF system, similar to other magnetically controlled systems, magnetic materials are required in order to respond to the external field. Widely used ferromagnetic materials include Ni, Co, and Fe, while the frequently applied superparamagnetic materials include Fe2O3 and Fe3O4. Up to now, various types of ABF systems have been investigated.147,148 Some typical examples are shown in Figure 4B.149

Many factors play a critical role in the movement of magnetic helical microswimmers such as solution properties (e.g., fluid viscosity, ion strength), geometrical parameters (e.g., helix pitch), surface characteristics (e.g., surface wettability,150,151 roughness), magnetic field properties (e.g., frequency, intensity, rotating, or oscillating field), magnetization properties of magnetic materials, head/tail shapes, mechanical properties (e.g., rigid or flexible), and boundary condition (e.g., wall). The simulation demonstrates that helical swimmers exhibit the highest propulsion efficiency when the pitch angle is about 45°.152 The optimal magnetization direction for helical microrobots is perpendicular to the helical axis in order to maximize the applicable magnetic torque around the axis. The motion mode and velocity of ABF are strongly associated with the applied field frequency. As shown in Figure 4C, at low frequency rotating magnetic fields (typically below several Hertz), a wobbling motion occurs when the axis of the helical MagRobot cannot align with the direction of the local field.153,154 As the rotating field frequency is enlarged, the wobbling angle decreases from 90° to zero, where a wobbling angle of zero corresponds to the rotation along the long axis with a direct corkscrew-like thrust. (Ratio of viscous to magnetic torque (i.e., Mason number), helix angle, and helical size can also bring about shrinkage of the wobbling angle of helical MagRobots under temporal–periodic torques.49 In the corkscrew-like motion region (also denoted as “synchronous” region), the translational velocity of helical MagRobots increases with the increased applied rotation frequency of an external magnetic field, performing a synchronous and linear relationship. Further increase with respect to a critical field frequency results in a decrease of the swimming velocity, which is attributed to the fact that the magnetic torque is not sufficient to maintain a synchronous relationship between the magnetic moment and the applied rotating magnetic field. The critical frequency is called the “step-out frequency”.155

Surface chemistry also influences the motion of helical MagRobots. Recently, it has been reported that magnetically driven helical microswimmers with hydrophobic surfaces possess larger step-out frequencies and higher maximum translatory velocities at low Reynolds numbers in comparison with those with hydrophilic surfaces.156 The increase in hydrophobicity of the swimmer surface causes an increase in both the step-out frequency and the maximum forward velocity in a nonlinear mode due to the interfacial slippage. Importantly, the forward velocity of ABF is independent of their surface wettability when MagRobots are manipulated below their critical frequency. A 3D oscillating magnetic field, created by the combination of DC magnetic field Bxy and oscillating Bz field, can only cause the reciprocal back-and-forth motion of a helical microswimmer. When symmetry is broken by placing the microswimmer near a surface, the rocking motion results in a net displacement. Moreover, the asymmetric helix (with polystyrene head and helical Co/SiO2 tail) exhibits much larger displacement than a nearly symmetric helix without a head under similar experimental conditions.157 The viscosity disturbance in different solutions results in the difference of precession angle (i.e., wobbling angle) of helical MagRobots when the applied frequency of the rotating field is smaller than the step-out frequency. Taking advantage of this feature, the detection of instantaneous orientations (i.e., wobbling angle) of MagRobots provides an innovative approach to evaluate the viscosity of the local medium with high spatial and temporal accuracy, which makes ABF a novel prototype for mobile viscometers.158

3.2. Traveling-Wave Locomotion/Ciliary Stroke Motion

Both traveling-wave propulsion and metachronal-wave propulsion, inspired by the flagella and cilia of eukaryotic cells, respectively, are capable of breaking temporal symmetry to overcome the Scallop Theorem and generate an effective net displacement. Because short and rigid nano/microrobots can only generate very limited net propulsion due to the reciprocal nature of an oscillating movement, the presence of an elastic component is crucial for achieving traveling-wave propulsion. However, net displacement can also be hampered if the motor is too long and flexible due to the increase of drag force. Hence, the size and elasticity must be taken into consideration in terms of design. Traveling-wave propellers have been created either by incorporating elastic tails (e.g., a chain of paramagnetic beads using DNA as the soft hinge159) to a rigid head or by utilizing multilink nanowires connected by flexible segments (e.g., soft silver nanowire,3 elastic polymeric nanocylinders composed of multiple bilayers of polyallylamine chloride and polystyrenesulfonate97). The thrust from the backward-traveling wave generated by the undulatory motion of multilink artificial microswimmer, consisting of two magnetic nickel segments, two gold segments, and three soft silver, hinges upon the application of an oscillating magnetic field. Periodic mechanical deformation triggered fish-like locomotion at the microscopic level (Figure 5A).129 Other traveling-wave motion of wire-like MagRobots driven by an oscillating field can be found in Section 4.4.

Figure 5.

Figure 5

Flagellum-based locomotion of magnetically actuated robots. (A) Motion of Au–Ag–Ni–Ag–Ni–Ag–Au multilink nanowires with flexible silver hinges under a planar oscillating magnetic field. Reproduced with permission from ref (129). Copyright 2016 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (B) Multiple locomotion modes of millipede-like soft robots. Reproduced with permission from ref (160). Copyright 2020 The Authors. (C) Ciliary stroke motion of artificial micromotors. Reproduced with permission from ref (139). Copyright 2016 The Authors.

Although the metachronal wave, which is produced by the oscillatory locomotion of ciliated protozoa through hydrodynamic interactions, can also drive an effective nonreciprocal movement. Because of the complexity of manufacturing these structures at micro- and nanoscale, only millimeter-scale (not nanoscale or microscale) robot systems that mimic the metachronal-wave movement of cilia have been reported (Figure 5B).160 To date, one artificial cilia-like magnetic microarchitecture, as the exclusive example with regard to the simple ciliary stroke motion, has been fabricated by means of a 3D laser lithography method.139 The efficient movement of this microrobot in a fluid environment with a low Reynolds number was powered by the net propulsive force from the beating locomotion of cilia and its position and orientation can be precisely controlled by on–off fields with designated angle (Figure 5C).

3.3. Surface-Assisted Motion

Apart from breaking the symmetry from the geometrical point of view, another strategy to overcome the Scallop Theorem and induce translational movement is to introduce a physical boundary to break the spatial symmetry. Such locomotion can be achieved by magnetically actuating a magnetic micro- or nanostructure when it lies in the proximity of a surface/interface161 or a wall in a liquid at low Reynolds number, or even a dry surface.162 The micro and nanorobots based on this “surface-assisted locomotion” mechanism are called “surface walkers” or “surface rollers.” Figure 6A exhibits a typical forward locomotion mode of a surface walker. Many magnetic micro and nanostructures have demonstrated such surface-assisted propulsion including (but not limited to) nanorods, dimers, assembled colloids, microtubes, and Janus particles. Simulations and experiments have confirmed that the dynamics and motion mechanism of surface walkers are governed by the boundary features (slip or nonslip), the degree of confinement (e.g., single or multiple confining boundaries, the distance of a MagRobot from the nearby boundary), fluid properties (e.g., finite inertia163), magnetic fields (e.g., configurations, frequency, strength), and others. The presence of a boundary modifies the hydrodynamic stresses on self-propelled nano/microrobots, resulting in a change in their orientation, velocity, trajectory, and even hydrodynamic bound states.164 Stronger frictional forces near a nonslip confining boundary (wall or surface) can drive microdevices to move forward, resulting in a larger net displacement compared with those in proximity to a smooth boundary. Hydrodynamic interactions can create stable finite clusters (“critters”) from an unstable front that is generated from the press of fingers.165

Figure 6.

Figure 6

Propulsion mechanisms for surface walkers. (A). Surface-assisted motion of an Au–Ag–Ni nanowire. Reproduced with permission from ref (173). Copyright 2020 American Chemical Society. (B) Motion mode transformation of hematite peanut-shaped microrobots among rolling mode under a yz-planar rotating field, spinning mode under an xy-planar rotating field, and tumbling mode under a conical rotating field; Swarming patterns of chain, vortex, and ribbon morphologies, respectively. Reproduced with permission from ref (56). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (C) Magnetic coil arrangement and advection of Au/Ni/Au nanowire in kayak motion mode. Reproduced with permission from ref (168). Copyright 2017 The Royal Society of Chemistry. (D) Smooth translation motion of square-wheeled bicycles on bumpy roads and separation of diamond and square μwheels on the textured surface. Reproduced with permission from ref (169). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (E) Schemes of a peanut-shaped motor climbing up a steep slope with the height of 8 μm via a wobbling mode and trajectory of the MagRobot climbing up and down a steep slope. Reproduced with permission from ref (170). Copyright 2018 American Chemical Society. (F) SEM image of a microdimer and its motion in bulk liquid and near a boundary. Reproduced with permission from ref (172). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

Motion modes of surface walkers are frequency- and field type-dependent. CoPt semihard magnetic nanowires experience the motion transformation from tumbling to precession and then to almost rolling near a surface boundary by raising the frequency of the applied planar rotating field. In the tumbling region, the y-axial translational velocity of nanowires synchronously increases with the field frequency regardless of the applied magnetic moment. In the procession region, the velocity still slowly increases and then decreases after reaching the maximum. The decrease of speed is ascribed to a decline of the precession angle, resulting from the change of motion configuration.166 Transformation of the motion mode can also occur in hematite peanut-shaped microrobots by using different magnetic fields, including a 1D oscillating magnetic fields (oscillating mode), yz-planar rotating magnetic field (rolling mode), xy-planar rotating magnetic field (spinning mode), and conical magnetic field (tumbling mode) corresponding to the collective configuration of liquid, chain, vortex, and ribbon, respectively (Figure 6B). A 2D vortex can be self-assembled by rotating magnetic colloids in a plane parallel to the interface; however, such a vortex cannot produce net displacement. On the contrary, net displacement occurs in rolling mode and tumbling mode once a boundary is present. Taking the chains with rolling mode as an example, net displacement along the x axis can be generated when the assembled magnetic chains are subjected to a yz-plane rotating field. In other words, the rotational motion of microrobots in a plane perpendicular to a nearby boundary can lead to nonreciprocal propulsion. Similar to the artificial bacterial flagella, the velocity of the individual peanut-shaped microrobots as well as that assembled chains (e.g., trimer and pentamer) linearly increases with applied frequency when the actuation frequency is below the step-out frequency. Above the step-out frequency, the increase of the rotating field’s frequency causes a decrease of the microrobots’ velocity owing to the considerable rise of liquid-induced viscous torque. In addition, the velocity of assembled chains is dependent on the number of microrobots composing the chains. Most importantly, collective formations and locomotion can be manipulated by a magnetic field in a programmable and reconfigurable fashion, providing versatile collective modes to meet multitasking requirements in complicated biological systems.56,125,167 Magnetic microkayaks demonstrate processing motion in a double-cone rotating way, similar to the movement of a paddle, when placed in proximity to a solid surface under the rotating fields with kilohertz frequency (Figure 6C).168

In comparison with flat surfaces, research of magnetic nano/microrobots on topographic surfaces is more challenging but more intriguing. Inspired by smooth-riding bicycles containing square-shaped wheels, utilization of a microroad with periodic bumps lead to 4-fold intensification in forward velocity of microwheels (μwheels) owing to the nonslip rotation of entire wheels. Because of the velocity difference between diamond μwheels and square μwheels on topographic surfaces, the separation of isomeric μwheels by symmetry can be fulfilled (Figure 6D).169 For surface walkers, climbing over a barrier is also possible by taking advantage of surface physics. A peanut-shaped hematite micromotor with its magnetic moment vertical-aligning with the long axis can achieve rolling movement under a rotating magnetic field and wobbling movement under a conical rotating field. The magnetically actuated MagRobot can climb up and down a steep slope with a height of 8 μm through the wobbling motion mode. By combining rolling motion mode and wobbling motion mode, the MagRobots can be utilized to deliver and release cells to an appointed place and form complex cell patterns under the control of a magnetic field in a contactless fashion (Figure 6E).170 Except for these artificial barriers, magnetic actuation of MagRobots on the uneven surface of biological tissue (i.e., ex vivo swine bladder) was investigated by Zhang’s group.171 In addition to a rotating field, an oscillating magnetic field can also be adopted to actuate the translational movement of a surface walker. Under an oscillating field, microdimers consisting of Ni-SiO2 magnetic Janus microspheres are able to roll on the solid surface after sedimentation treatment. In contrast, no net displacement can be produced when Janus microspheres are returned to the bulk of the liquid by acoustic levitation (Figure 6F).172

3.4. Application of Magnetic Fields in Other Propulsion Approaches

Approaches such as chemically or photochemically induced propulsion lack the level of control of magnetically driven micro and nanoswimmers, especially in terms of directionality, control over the speed, and ON/OFF motion features. However, chemically and photochemically driven swimmers are very useful for chemistry-on-the-fly applications such as water remediation applications. To provide better controllability on the motion aspects of these chemical and photochemical swimmers, the integration of magnetic components has been widely adopted. For example, a single TiO2–PtPd–Ni nanotube174 performed autonomous motion through the bubbles generated from the decomposition of hydrogen peroxide (Figure 7A). To control the directionality of bubble-propelled small-scale machines along any predetermined paths, the assistance of other power sources is necessary. After the application of a static magnetic field, the motion direction of those self-propelled nanodevices is controllable. A similar function of orientation control was found in fuel-free light-driven small-size robot systems,175 urease-powered nano/micromotors,176 cell-powered nanomicromachines,177 and acoustically actuated micronanoscale vehicles.97,178 Furthermore, the combination strategy can amplify the propulsive thrust by harvesting energies from different sources,179 resulting in more efficient task processing capabilities. A Janus microrobot, using three types of nanomaterials as engines, was capable of swimming by bubble propulsion, light-powered propulsion, and magnetic-actuated motion (Figure 7B).180 Compared with only bubble-propulsion, the bubble–magnetic dual propulsion mode boosted the velocity of microrobots up to 3 times, while the bubble–light dual mode could increase it up to 1.5 times. Because of the synergetic effect of the three energy sources (i.e., chemical energy, light, and magnetic field), the ternary bubble–light–magnetic mode exhibited a much higher speed than binary bubble-light mode.180 By switching on and off a magnetic field, the on-demand control of nanoand microscale robotic systems via braking or accelerating the propulsion process was demonstrated. Obvious growth of velocity was observed in an ultrasound-powered Janus micromotor when a static magnetic field switched from “OFF state” to “ON state” as shown in Figures 7C.181 Moreover, the use of external magnetic fields allowed for controlling the directionality to the acoustically driven microrobots.

Figure 7.

Figure 7

Representative examples of applying magnetic fields to micro/nanorobots actuated by other propulsion sources. (A) Propulsion of a TiO2–PtPd–Ni tubular nanomotor by bubbles from the decomposition of chemical fuel, magnetic field, or both. Reproduced with permission from ref (174). Copyright 2016 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (B) Boost of propulsion velocity of a Janus micromotor propelled by dual mode or ternary mode. Reproduced with permission from ref (180). Copyright 2020 American Chemical Society. (C) ON–OFF feature and direction control capacity of the magnetic field for ultrasound-powered Janus micromotors: (a) Propulsion of a single microrobot without and with the application of a static magnetic field; (b) Magnetic navigation of a single acoustic-powered microrobot. Reproduced with permission from ref (181). Copyright 2020 WILEY-VCH GmbH and Co. KGaA, Weinheim.

3.5. Magnetic Stimulation of Micro/Nanorobots beyond Motion

In addition to direct motion control, magnetic fields can be used as the energy source for triggering hyperthermia,182 thermophoresis, and magnetoelectricity. Magnetic hyperthermia refers to the heating of cells, tissues, tumors, or systems to temperatures up to 42 °C by converting magnetic energy into heat radiation.183,184 Such function is preferable for treating cancer cells while minimizing damage to surrounding healthy tissues as nanoscale and microscale robots can be externally delivered to the infection site with the assistance of real-time image guidance (e.g., clinical MRI scanner, magnetic particle imaging scanner185) and subsequent hyperthermia treatment is localized by only focusing on the tumor tissue. Recently, an approach that combined hyperthermia features with the propulsion force of nanoswimmers has been utilized to clear away plaques in a clogged blood artery. The nanorobots consisted of cellulose nanocrystals, Fe2O3 NPs, and Pd NPs.186 As demonstrated in Figure 8A, the flow of the bloodstream went back to its normal state after the blockage site from animal fat was fully melted and removed. Magnetically induced thermophoresis refers to a self-diffusive motion generated by the local temperature gradient induced by the nano/microrobot itself under an external field. An alternating (AC) magnetic field has been used to heat the spherical Janus robot half-capped with magnetic material (i.e., Fe19Ni81 alloy), giving rise to self-thermophoretic motion124 as shown in Figure 8B. Besides, the high heating power generated by the magnetic field was also reported to trigger a Fischer–Tropsch synthesis.187 In this process, the magnetic nanoparticles acted as magnetically induced heterogeneous catalysts.

Figure 8.

Figure 8

Magnetic stimulation of micro/nanorobots for hyperthermia, thermophoresis, and magnetoelectric applications. (A) Schematic process of removing cholesterol plaque in the blood artery via the magnetic hyperthermia of nanorobots. Reproduced with permission from ref (186). Copyright 2020 Elsevier B.V. (B) Experimental setup of Janus nanorobots for magnetically induced thermophoresis. Thermophoretic force, triggered by the temperature difference, causes the self-propulsion of a Janus particle. Reproduced with permission from ref (124). Copyright 2012 American Chemical Society. (C) Underlying physics of the magnetoelectrically triggered drug (i.e., AZTTP) release process. Reproduced with permission from ref (201). Copyright 2013 Macmillan Publishers Limited.

Magnetic fields can also be used to trigger electric polarization if magnetoelectric materials are incorporated in small-scale motile devices.188,189 Magnetoelectric materials are single-phase or composite materials, which become electrically polarized when subjected to an external magnetic field.188,190 To operate at room temperature, magnetoelectric materials are usually made by intimately coupling magnetostrictive and piezoelectric components, although certain single compounds, such as bismuth ferrite (BiFeO3), exhibit magnetoelectric features at room temperature. When a magnetic field is applied to these materials, the magnetostrictive part changes its dimensions. In turn, the magnetostrictive part stresses the piezoelectric part, which subsequently becomes electrically polarized. Magnetoelectric composites can be processed as bilayered or multilayered composite structures, core–shell architectures, or as particulate matrix composite films.191 Because of their ability to generate electric fields in a wireless fashion (i.e., external magnetic fields), magnetoelectric materials integrated into small-scale robots can serve at least two purposes: (a) magnetic navigation due to the responsiveness of the magnetostrictive component to magnetic fields and (b) application of an electric field to the surrounding environment (i.e., electrolytes, cells, tissues) due to the piezoelectric block. Switching between these two capabilities is managed by changing the conditions in which the magnetic fields are applied, for example, by changing the frequency of an oscillating magnetic field or by swapping between gradients (for motion) and oscillating magnetic fields (for triggering the magnetoelectric effect). The delivery of electric fields is interesting for a wealth of applications, especially in the biomedical domain such as cell electrostimulation and differentiation,192 electroendocytosis-mediated drug delivery,193 irreversible electroporation for cancer treatment,194 cell fusion,195 or even cell destruction.196,197 Magnetoelectric nanorobots or microrobots, despite being less investigated, have been utilized for targeted cell manipulation,198 neuronal-like cell differentiation,13 and targeted drug delivery.199 For instance, a helical microswimmer, incorporating core–shell magnetoelectric nanoparticles (i.e., CoFe2O4 as the core and BiFeO3 as the shell) into a hydrogel matrix was able to induce the differentiation of neuronal cells due to the generation of charges upon magnetic stimulation.13 On-demand drug release for killing cancer cells was demonstrated by FeGa@P(VDF-TrFE) core–shell nanowires upon the application of an AC magnetic field because of the magnetoelectric coupling effect.199 It is believed that magnetoelectrically induced drug release is caused by the rupture of drug–carrier bonds when the dipole moment triggered by a magnetic field goes beyond the threshold value (i.e., drug–carrier bond strength) and breaks the intrinsic charge distribution on atoms200,201 as suggested by Khizroev’s group (Figure 8C).

4. Magnetic Robots in the Making: Fabrication Approaches

4.1. (Quasi-)Spherical MagRobots

Colloidal magnetic particles have attracted scientists’ attention not only because of their individual properties but also due to an emergently investigated phenomenon called “swarm” or “collective behavior”,57,202209 which is a term inspired by many phenomena in nature such as flocking of birds or team-work behaviors of insects. How to manipulate and actuate a large number of tiny robots with collective behaviors for potential in vivo applications, particularly in complex biological media and in a precisely controllable and programmable fashion, is the ultimate objective of scientists. The self-assembled MagRobots not only are capable of loading or unloading defined cargos on command but also transport them to a defined site (e.g., microfluidic system or biological environment), providing great potential for localized therapy and targeted drug delivery210 owing to their easy synthesis and versatile multifunctionalities by material design, structure optimization, and surface modification. The collective behavior via colloidal self-assembly presents a rapid, reversible, and programmable bottom-up approach to fabricate MagRobots by employing simple colloidal particles as building blocks. In the presence of a magnetic field, both commercially purchased paramagnetic materials (e.g., μm-sized Dynabeads135,211) and experimentally synthesized magnetic colloidal particles can be self-assembled into desired sizes and shapes (such as carpet,135 wire,212 lasso211). Yang et al.211 recently reported on superparamagnetic PVA-linked colloidal chains by applying a one-dimensional DC magnetic field with a strength of around 20 mT in the vertical direction to a diluted epoxy-functionalized Dynabeads solution. After the formation of linear chains, a circularly planar rotating magnetic field was operated to transform the chains into a lasso shape. By steering the magnetic field strength and phase lag, lassos can capture cargo through curling behavior and precisely transport it on the ground of a wheel-type mechanism at high velocities. Inspired by ants’ cooperative behavior to create a bridge with their bodies when encountering a vanished or nonexistent road (Figure 9A), Zhang’s group used a self-organized magnetic swarm robotic system as building blocks to form a microswitch to repair broken microcircuits. Each component of the system was made of a conductive gold-coated superparamagnetic Fe3O4 nanoparticle. Under a programmed oscillating field, these magnetic nanoparticles can self-reconfigure into a ribbon-like microswarm to act as a conductive bridge between two disconnected electrodes. The patterns and behaviors of the swarming MagRobots depend on the amplitude ratio and input oscillating frequency. Moreover, the elongation of the microswarm is reversible by altering the amplitude ratio.212,213 By applying an xy-plane rotating magnetic field with a few milli-Tesla (mT), microwheels of superparamagnetic beads can be self-assembled (Figure 9B).214 For microwheels lying on a surface, magnetic torque generated by a 2D rotating field can only induce a spinning movement of the micromachines without net displacement. After inputting a 3D oscillating field by adding a varied component vertical to the plane of the rotating field, that is, the microwheels were reoriented until they tilted to a surface, they began to translate with a velocity of around 100 μm s–1.214 Inspired by the rolling motion of neutrophiles on the vasculature walls, superparamagnetic beads can accumulate and roll on the surface of confined boundaries using a combination of magnetic and acoustic fields.66

Figure 9.

Figure 9

Schematic illustrations of the representative fabrication processes of (quasi-)spherical MagRobots. (A) Fabrication steps of Fe3O4@PDA@Au MagRobots and formation process of an ant bridge, corresponding to conceptual steps for a reconfigurable microswarm to repair an electrical circuit. Reproduced with permission from ref (212). Copyright 2019 American Chemical Society. (B) Microwheel prepared from the self-assembly of superparamagnetic Dynabeads M-450 Epoxy by rotating field and its field-dependent motion modes: planar rotating magnetic field makes colloids assemble and microwheels spin, whereas 3D oscillating magnetic field makes microwheels roll along the surface. Reproduced with permission from ref (214). Copyright 2019 The Authors. (C) Fabrication steps of the burr-like microrobots. Reproduced with permission from ref (215). Copyright 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (E) Fabricating process of PM/Pt Janus microrobots for cell manipulation, DOX drug loading, and delivery. Reproduced with permission from ref (210). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

3D laser lithography is among the most popular techniques used to fabricate small-scale robots with desired architecture. Burr-like spherical porous MagRobots were prepared by using a direct laser writing system followed by depositing Ni thin films for magnetic actuation and Ti thin films for biocompatibility via a sputtering system (Figure 9C).215 The fabricated microrobots can carry and deliver targeted cells to a predetermined location in vitro and in vivo under the control of a field gradient. In vitro experiments conducted in a microfluidic chip showed that cell-loaded microbots could be transferred along the blood vessel-like microchannel to a predefined area to release cells (i.e., MC3T3-E1 preosteoblasts). These free cells moved toward the tissue chamber through migration channels. In vivo experiments conducted on nude mice also confirmed that burr-like magnetic microrobots exhibited excellent cell loading, carrying, and release capabilities. In a similar fashion, Jeon et al. used 3D laser lithography and sputtering to fabricate cylindrical, hexahedral, helical, and spherical MagRobots.122 The use of a magnetic field gradient induced the pulling motion of cylindrical and hexahedral MagRobots, while the rotating field caused corkscrew motion for helical MagRobots and rolling motion for spherical microrobots.122

Spherical microrobots with Janus structure were fabricated by Martin Pumera’s group (Figure 9D).210 The Janus structure, formed by half-covering superparamagnetic polymer particles with catalytic Pt layer, can self-propel due to the catalytic decomposition of hydrogen peroxide and can be steered by an external magnetic field. Polymer particles with a tosyl group-rich surface provided the chance to bind anticancer drugs. In addition to drug loading and delivery, the microrobots could also manipulate cells when they assembled into a chain under magnetic guidance.

4.2. Helical MagRobots

Helical architectures, inspired by the flagella of bacteria, enable micronanomachines to convert rotational motion to a translational corkscrew motion by using a low-strength magnetic field in low Reynolds number liquids. Various micro- and nanofabrication techniques have been used to prepare helical micro/nanostructures, including template-assisted electrochemical deposition (TAED),216 laser ablation,217 direct laser writing and 3D printing,128,156,218221 glancing angle deposition,127,222 coiled flow template,223,224 biotemplate,225,226 and origami-based self-scrolling technique.60,227

Laser micromachining allows the creation of arbitrary 3D structures. Piezoelectric soft MagRobots, which can deliver PC12 cells by employing a rotating magnetic field to induce neuronal differentiation under the stimulus of acoustic waves, were fabricated by Salvador Pané’s group.217 Helical MagRobots consisting of piezoelectric polymer matrix and CoFe2O4 magnetic component were formed by laser ablation of composite film coated on the surface of copper wire by dip-coating method, followed by etching copper wire with acidic ferric nitrate solution (Figure 10A). Steering of helical parameters such as pitch, pitch angle, and the ratio can be achieved by altering the laser spot size, laser motion speed, and rotating speed of copper wire. The helix microstructure can move in a corkscrew manner along its long axis by a rotating field.

Figure 10.

Figure 10

Schematic illustrations of representative synthetic methods for helical MagRobots. (A) Fabrication process of piezoelectric magnetic microswimmers by laser ablation. Reproduced with permission from ref (217). Copyright 2019 The Royal Society of Chemistry. (B) Fabrication of biodegradable helical MagRobots using two-photon polymerization. Reproduced with permission from ref (238). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (C) Preparation process of platelet-membrane-cloaked MagRobots by TAED method including (i) Pd/Cu coelectrodeposition, (ii) etching of Cu and collection of helical structures, (iii) deposition of Ni and Au layers, (iv) collection of helical nanostructures, (v) surface modification, and (vi) fusion of platelet-membrane-derived vesicles to the modified surface. Reproduced with permission from ref (216). Copyright 2017 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (D) Preparation steps of acid-stable enzyme-functionalized MagRobots by GLAD. Reproduced with permission from ref (222). Copyright 2015 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (E) Origami-inspired approach to prepare microswimmers by one-step photolithography. Reproduced with permission from ref (245). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (F) Fabrication of helical microrobots with hollow structures with the assistance of coiled flow template. Reproduced with permission from ref (223). Copyright 2018 American Chemical Society. (G) Fabrication process of biohybrid microswimmers based on Spirulina platensis. Reproduced with permission from ref (226). Copyright 2020 American Chemical Society.

3D/4D printing provides a feasible approach to fabricate soft micro/nanorobots with predesigned shapes.228236 Recent reviews give a summary of functional soft robots created by 3D printing45 and 4D printing237 technique. 3D-printed enzymatically biodegradable soft helical microswimmers have been designed by Pané and co-workers.238 Two-photon polymerization (a type of 3D printing technique) was adopted to print photo-cross-linkable gelatin methacryloyl (GelMA) helical microswimmer. To decorate GelMA architecture with Fe3O4 nanoparticles for magnetic actuation, GelMA microstructures were immersed in a water suspension of PVP-coated Fe3O4 nanoparticles (Figure 10B). Another work about hydrogel-based biodegradable helical microswimmers with length of 20 μm and diameter of 6 μm was reported by Metin Sitti’s group.128 3D printing of double-helical architecture was realized by two-photon polymerization technique from a precursor mixture of GelMA, photoinitiator, and biofunctionalized superparamagnetic Fe3O4 nanoparticles. Such double-helical architecture allows these micromachines to host high therapeutic cargo loading and swimming abilities under a rotating magnetic field.

Although template-assisted electrochemical deposition (TAED) has been widely used to fabricate tubular micromotors, this method can also be employed to generate helical architectures.239241 A representative example was demonstrated by fabricating platelet–membrane-cloaked magnetic helical nanomotors in Joseph Wang’s group.216 Pd helical microstructures with a length of 3–5 μm were synthesized by coelectrodepositing a Pd/Cu bilayer on an electrochemical platform using a polycarbonate template and followed by selectively etching the Cu with nitric acid. Afterward, Ni/Au thin films were deposited on the surface of the helical nanostructure via the electron beam evaporation method. To make the gold surface negatively charged, surface modification of the magnetic helical microstructures was carried out by overnight incubation of the microrobots with 3-mercaptopropionic acid. Then, platelet-membrane-derived vesicles were adsorbed, bound, and fused onto the negatively charged gold surface by ultrasonic mixing (Figure 10C).

Helical MagRobots can also be produced by glancing angle deposition (GLAD).242244 In this approach, a seed layer, normally created by spreading a monolayer of silica beads on the substrate, is required to function as the nucleation site. Prior to deposition, the seed layer is fixed at a glancing angle with respect to the input vapor flux of a specific material. During the deposition process, a helical silica structure grows starting from an individual seed particle by continuously rotating the substrate. The pitch and chirality of asymmetric helical structures are changeable by adjusting the speed and direction of rotation. Finally, a layer of magnetic material is deposited in the resulting silica helical tail. While this method can batch-produce uniform helical nanostructures, this process is still limited in terms of material selection and shape. To make the magnetic section (i.e., Ni) of helical microstructure stable in acidic solution, helices were covered with an 8 nm Al2O3 thin film by atomic layer deposition. The stabilized helical micropropellers can be further functionalized with urease (Figure 10D).222

Inspired by origami designs, Huang et al.245 exploited thermoresponsive gel composites reinforced with magnetic nanoparticles to fabricate microswimmers with various 3D architectures by using a one-step photolithography technique and capitalizing on the self-folding of the hydrogel upon hydration (Figure 10E). During the gel polymerization process, a static uniform field was used to align the encapsulated magnetic nanoparticles. The folding axis direction of the MagRobots was consistent with the alignment direction of the magnetic particles as the swelling was constrained along the reinforcement direction. The produced microswimmers could change their shapes to adapt to local environmental variations in mechanical constraints and osmotic pressure.245

Hollow helical microstructures can be obtained by first synthesizing magnetic helical microfibers composed of calcium alginate hydrogel and Fe3O4 nanoparticles from coiled flow templates in glass-capillary microfluidic devices, followed by biosilicification and dicing process (Figure 10F). The produced microswimmer containing inflexible alginate/protamine/silica shell exhibited good mechanical performance for cargo transport.223 Utilization of bevel-tip capillary and syringe pump, heterogeneous core–shell hydrogel microsprings with calcium alginate hydrogel as shell components and functional materials (e.g., magnetic particles, agarose, cell-suspended collagen) as core components were produced.246

Because nature provides us with plenty of helical micro- and nanoarchitectures, preliminary attempts to extract the helical xylem vasculature of plants225 and Spirulina cyanobacterial green–blue microalgae247249 as templates to fabricate biohybrid helical micro- and nanomachines open a new insight into strategic designs. The advantage of biohybrid small-scale robots is in the biocompatibility and biodegradability characteristics of the biotemplates. Cell-based helical microswimmers can be acquired from multicellular Spirulina via a single cost-effective dip-coating process in superparamagnetic Fe3O4 solution.249 Because of the intrinsic properties of microalgae, the prepared microswimmers allowed for in vivo fluorescence imaging without additional fluorescent markers. Moreover, large swarms of microswimmers can be accomplished inside the rat stomach by an external rotating magnetic field with the assistance of imaging.249 Model small molecules, as well as biomacromolecules, can be loaded into Spirulina cells by controlling their dehydration and rehydration.247 The micromachine loaded with molecular cargo can be magnetically driven in an intestinal tract phantom, thus providing the possibility of targeted molecular delivery for gastrointestinal diseases. By modifying their surface with polydopamine via dopamine self-polymerization (Figure 10G), Spirulina-based magnetic helical microswimmers exhibit an enhanced photoacoustic signal and photothermal effect.226 In addition to the above-mentioned helical MagRobots, many other helical architectures have been created.145,243,250256

4.3. Flexible MagRobots

Flexible or soft small-sized robots refer to a nanoscale and microscale robotic system completely or partially comprising soft components or architectures that function as carriers, templates, hinges, joints, actuators, sensors, or reservoirs.257262 The utilization of flexible microorganisms to create MagRobots will be discussed in Section 4.5. The advantages of flexible MagRobots are reflected in the following aspects: First, as described in Section 2.4, the integration of a soft segment as a hinge262 (see Section 4.4) or as a tail (see Section 3.2), into nano/microrobots can break spatial and temporal symmetries and generate a forward thrust. Second, flexible MagRobots are capable of transforming their configurations/architectures to execute special tasks under the magnetic actuation, such as grasp and release (similar to the function of a hand) of a small-scale object.263,264 Third, flexible and soft small-scale robots are more desirable for biomedical applications as these devices are more adaptive in complex biological scenarios, especially in confined, hard-to-reach tissues and vessels of the body when compared with swimmers made from rigid and hard parts.

Soft robots can be constructed with stimuli-responsive polymer materials that enable shape transformations and the realization of other tasks depending on environmental changes (i.e., pH,265,266 temperature). For example, PPF/pNIPAM-AAc magnetic microgrippers with pNIPAM-AAc serving as a thermoresponsive swelling hydrogel segment, polypropylene fumarate (PPF) as a nonswellable stiff segment, and Fe3O4 nanoparticles for the magnetic actuation were prepared by serial photolithographic method (Figure 11A). The thermoresponsive soft self-folding microgrippers could be directed or retrieved to the desired location under the magnetic field to execute their tasks (e.g., to load or release therapeutics) in response to temperature stimulus at around physiological temperature without the need of wires, batteries, or other sources.39 Similarly, another thermoresponsive soft microrobot was manufactured and employed for pick-up/release applications due to the temperature-sensitive P(OEGMA-DSDMA) layer.267 Because of the pH-responsive property of 2-hydroxyethyl methacrylate (PHEMA), the PHEMA/PEGDA-Fe3O4 bilayer soft microrobot formed via photolithography (Figure 11B) performed the trapping of drug microbeads at about pH 9.58 by full folding motion and the release of drugs by unfolding motion at about pH 2.6.266

Figure 11.

Figure 11

Schematic illustrations of the representative fabrication processes of flexible MagRobots. (A) (a) Fabrication process of temperature-sensitive microgripper including (i) depositing metal alignment markers and spin-coating sacrificial layer and PPF/DEF solution, (ii) cross-linking PPF segments by UV light through a mask, (iii) coating pNIPAM-AAc layer on top of the wafer, (iv) photopatterning the pNIPAM-AAc layer by UV light through a mask, (v) removing uncross-linked chemicals, and (vi) releasing microgrippers from the wafer by dissolving the underlying sacrificial layer in water; (b) Cell capture and excision due to the reversible folding/unfolding behavior of microgrippers in response to temperature. Reproduced with permission from ref (39). Copyright 2015 American Chemical Society. (B) Fabrication procedure of pH-sensitive soft MagRobot. Reproduced with permission from ref (266). Copyright 2016 IOP Publishing Ltd. (C) Formation of hairbots by sectioning a bundle of hair by ultramicrotome and then loading hairbots with magnetic particles and drugs. Reproduced with permission from ref (268). Copyright 2019 Elsevier Ltd. (D) Preparation of liquid metal MagRobots. Reproduced with permission from ref (269). Copyright 2019 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (E) DNA-based flexible MagRobots: (a) Preparation of a hybrid MagRobot with flexible DNA flagella via DNA self-assembly method. Reproduced with permission from ref (270). Copyright 2016 American Chemical Society. (b) Fabrication of a flexible magnetic filament by binding magnetic particles with double-stranded DNA via the specific biotin–streptavidin interaction under a magnetic field. Reproduced with permission from ref (159). Copyright 2005 Nature Publishing Group. (F) Origami-like MagRobots with various shape-morphing modes, mimicking the flapping, hovering, turning, and side-slipping of birds. Reproduced with permission from ref (64). Copyright 2019, The Authors, under exclusive license to Springer Nature Limited.

Biocompatible magnetic “hairbots,” derived from functionalized hair (Figure 11C), can display heightened osteogenic differentiation capacities of mesenchymal stem cells under magnetic actuation compared with nonmagnetic hairbots. Moreover, a magnetic field with repulsion mode endowed stem cells with higher osteogenic activity compared with the attraction equilibrium or nonequilibrium mode.268 Liquid metals (LM) have also been recently used to create shape-morphing flexible microrobots. An ice-assisted transfer printing method was used to fabricate Fe3O4NPs-incorporated EGaIn LM micromotors (Figure 11D). Because ice can be easily removed, this method provides great convenience for transferring LM-based micromotors to arbitrary desired substrates. Irradiation from an alternating magnetic field could cause the dramatic morphological transformation of LM-based micromotors in an aqueous environment. Moreover, the resulting LM-based microswimmer exhibited high propulsion velocity (over 60 μm s–1) under an elliptically polarized magnetic field as compared with its rigid counterparts.269

The utilization of DNA as a flexible component is another method to create soft micro/nanorobots is shown in Figure 11E. Artificial flagella with a length of several micrometers were generated using a self-assembled DNA bundle.270 After attaching the soft DNA flagella to a magnetic microbead via biotin–streptavidin coupling interaction, a hybrid microrobot was constructed. The fabricated magnetic microrobots can be propelled like peritrichous bacteria under a homogeneous rotating magnetic field. Similarly, Rémi Dreyfus and co-workers159 used biotinylated double-stranded DNA as “soft” hinges to link red blood cells decorated with streptavidin-modified superparamagnetic particles. In this way, another type of flexible artificial flagella was prepared via the specific biotin–streptavidin interaction.

Origami as a self-folding process provides a top–down approach to fabricate soft robots with transformable morphologies. A complete origami robotic system normally comprises power, sensing, actuation, and computation subcomponents.271274 Readers are suggested to read the review article written by Daniela Rus and Michael T. Tolley to obtain more information about the design, fabrication, and control of origami robots.275 Self-folding origami MagRobots with various body designs (i.e., tubular body and helical tail, tubular body and spiral tail, helical body and planar tail, etc.) were created by Nelson’s group.60,63 The micro-origami swimmers were endowed with reconfigurable morphologies, controllable mobility, and even programmable magnetic anisotropy by embedding magnetic nanoparticles into self-folding hydrogel bilayers (i.e., one supporting layer and one thermally responsive layer). Because of the programmable shape-morphing feature of the origami-based microrobots, an artificial microsized “bird” was created to mimic the different flying modes of a real bird, including “flapping,” “hovering”, “turning”, and “side-slipping” (Figure 11F).64

4.4. Wire-like MagRobots

Most rod-like MagRobots are fabricated by template-assisted electrochemical deposition (TAED).276280 In general, anodic aluminum oxide (AAO) or polycarbonate porous membranes are employed as templates. These membranes are commercially available and are usually composed of cylindrical pores, although sophisticated designs and complicated fabrication of porous membranes with different pore geometries or with variable pore diameter can be realized.281,282 Because of the nonconductive nature of these templates, prior to the electrodeposition of material, a layer of a conductive thin film (usually gold) is deposited on one side of the membranes by electron beam evaporation or other physical vapor deposition methods. The length of the nanostructures (i.e., nanorods, nanowires) is adjustable by regulating the electrodeposition time. After deposition, metal-based nanowires are released by dissolving the membrane template. Usually, ferro- and ferrimagnetic nanowires and nanorods align with their long axis parallel with the direction of the applied magnetic fields. Two main strategies exist to align cylindrical magnetic nanostructures perpendicular to their long axis: (a) by placing segments of magnetic material sufficiently separated along a nonmagnetic structure (in order to minimize dipolar interactions) and (b) premagnetizing the nanowires/nanorods along their short axis. The first case can be achieved by synthesizing multisegmented nanowires/nanorods using pulsed plating electrodeposition or sequential deposition by alternating different electrolytes.283,284 In the second approach, a nanowire/nanorod has to be made from hard-magnetic materials so that it can preserve a sufficiently large remanence after being premagnetizing in a specific direction. Figure 12A shows the fabrication of electrodeposited hard-magnetic CoPt nanowires and the procedure for their premagnetization along their short axis.166Figure 12B shows a comparison between a soft-magnetic CoNi and a hard-magnetic CoPt nanowire and their alignment upon the application of a magnetic field. While the premagnetized hard-magnetic nanowire aligns with its short axis to the applied field, the soft-magnetic is aligned along its long axis. In a rotational magnetic field, a nanowire/nanorod that aligns with its long axis with the applied magnetic field can only exhibit a tumbling motion.285 However, a nanowire-like MagRobot that is premagnetized along its short axis can display a richer variety of motion mechanisms such as tumbling, rolling, precession, or wobbling locomotion as a function of the magnetic field frequency. Another strategy to possess multiple motion modes is to integrate premagnetized nanowires into nonmagnetic structures. For instance, a single Ni nanowire only shows a sole tumbling motion.285 After assembling two polystyrene beads into a Ni nanowire to construct a dumbbell-like MagRobot, the fabricated microstructure possesses three motion modes (i.e., rolling, wobbling, and tumbling) (Figure 12C).286

Figure 12.

Figure 12

Fabrication of magnetic nanowires by TAED and some examples. (A) Synthesis process of CoPt nanowires and (B) magnetization angle of hard-magnetic CoPt nanowire and soft-magnetic CoNi nanowire. Yellow indicates the direction of the short axis while red indicates the direction of the magnetic field. Reproduced with permission from ref (166). Copyright 2019 American Chemical Society. (C) Dumbbell-shaped MagRobot consisting of a Ni NW and two PS microbeads. Reproduced with permission from ref (286). Copyright 2016 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (D) Traveling-wave motion of a fish-like nanoswimmer under an oscillating magnetic field. Reproduced with permission from ref (129). Copyright 2016 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (E) Freestyle swimming of two-arm nanoswimmer. Reproduced with permission from ref (3). Copyright 2017 American Chemical Society. (F) SEM images of 1-, 2-, and 3-link microswimmers and traveling-wave propulsion of 3-link microswimmer under an oscillating magnetic field. Reproduced with permission from ref (97). Copyright 2015 American Chemical Society. (G) Three motion modes and SEM image of PVDF-Ppy-Ni nanoeels. Reproduced with permission from ref (287). Copyright 2019 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

When adding flexible segments such as hinges or tails to nanowires, the assembled MagRobots display traveling-wave motion under the steering of an oscillating magnetic field. A multiple section microstructure of Au–Ag–Ni–Ag–Ni–Ag–Au, using three elastic Ag nanowires as hinges and fabricated by sequential electrochemical deposition, can mimic the swimming of a fish with a speed as high as 30 μm s–1 (Figure 12D).129 In a similar fashion, the two arms of a Ni–Ag–Au–Ag–Ni MagRobot are capable of executing an out-of-phase wobbling motion by a planar 2D oscillating field and propel the movement of the body with a velocity of around 30 μm s–1 (Figure 12E).3 A Ni-hinge-Ni-hinge-Ppy nanorobot involving a flexible polypyrrole (Ppy) tail has the ability to break the reciprocal motion at the temporal dimension, exhibiting an S-like motion mode by making use of its eukaryote-like tail with the assistance of an oscillating field, leading to maximum propulsion speed of 0.93 body-lengths s–1 (Figure 12F).97

Inspired by the electric field, a knifefish, which can produce electricity through its electrocytes, was developed as a multifunctional Ni-Ppy-PVDF MagRobot containing a soft polyvinylidene fluoride (PVDF) tail. Taking advantage of the intrinsic piezoelectric performance of the PVDF tail, the surface of the fabricated MagRobots exhibits an enhanced release of cargo owing to the electrostatic repulsion generated by the magnetically induced piezoelectric effect. By changing the magnitude and rotational frequencies of the applied rotating magnetic field, three different locomotion modes (i.e., tumbling, wobbling, and corkscrew-like motion) with different translation speeds and drug release behaviors were observed (Figure 12G). Interestingly, the application of an on–off magnetic field can actuate the release of drugs in a pulsatile approach.287

4.5. Biohybrid MagRobots

Because of their excellent biocompatibility and extremely low toxicity, biohybrid mineralized motors, which often integrate synthetic nanostructures/nanoparticles with natural nonmobile cells (e.g., pollen, spores) or motile cells (e.g., bacteria, sperm), are currently of great interest.136,288 Four methods are commonly used to produce biohybrid micro/nanorobots. The first method consists of directly using nonmotile cells as templates and then integrating magnetic nanomaterials and other functional building blocks such as inorganic nanostructures or molecules. Capitalizing on this approach, several pollen-based,289291 spore-based,292 microalgae-based,293,294 sperm-based295 magnetic micromotors have been fabricated. In general, pollen and spores have the merits of excellent biocompatibility characteristics and structural uniformity. Some even have unique architecture (e.g., hollow cavity), which can facilitate specific applications. For instance, researchers have loaded drugs into two hollow air sacs of pine pollen grains via vacuum loading technique (Figure 13A). The experiments demonstrated that pollen-based biohybrid MagRobots not only exhibit efficient drug-encapsulation ability but also can release them on demand.289 By altering the vectors of programmatically controllable magnetic fields, individual pollen-based micromotors with encapsulated magnetic Fe3O4 inside present three distinct modes of locomotion (i.e., rolling, tumbling, and spinning) and these individuals were able to form a dynamic collective phenomenon under the steering of an external magnetic field.289 Spore-based microrobots composed of G. lucidum spores, Fe3O4 nanoparticles, and functionalized carbon nanodots have been synthesized via rapid, direct, and low-cost methods (Figure 13B). The prepared spore@Fe3O4@CDs microrobots can detect bacterial toxins.296 As mentioned above, Spirulina, with the innate spiral morphology, has been utilized as a biological template to create helical microswimmers249,293 (Figure 13C). Sperm-based soft MagRobots were fabricated by decorating Fe2O3 nanoparticles on the surface of immobile sperm cells via the electrostatic self-assembly (Figure 13D). The highest swimming speed of sperm-templated micromotors can reach 6.8 ± 4.1 μm s–1 (0.2 body length/s).295

Figure 13.

Figure 13

Representative examples of biohybrid MagRobots fabricated by four methods. Method 1: MagRobots prepared using (A) pollen, (B) spore, (C) microalgae, or (D) sperm as templates. Method 2: MagRobots prepared by cloaking functionalized nanomaterials with cell membrane of (E) red blood cells or (F) platelets. Method 3: MagRobots prepared by combining active flagella-containing cells such as (G) bacterium, (H) RGB-cloaked bacterium, (I) microalgae, or (J) sperm. Method 4: MagRobots prepared by utilizing the phagocytosis function of immune cells, for example, (K) macrophage. (A) Reproduced with permission from ref (289). Copyright 2019 The Royal Society of Chemistry. (B) Reproduced with permission from ref (296). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (C) Reproduced with permission from ref (293). Copyright 2019 American Chemical Society. (D) Reproduced with permission from ref (295). Copyright 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (E) Reproduced with permission from ref (297). Copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (F) Reproduced with permission from ref (216). Copyright 2017 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (G) Reproduced with permission from ref (68). Copyright 2017 American Chemical Society. (H) Reproduced with permission from ref (306). Copyright 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (I) Reproduced with permission from ref (294). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (J) Reproduced with permission from ref (31). Copyright 2018 American Chemical Society. (K) Reproduced with permission from ref (305). Copyright 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science.

The second method of preparing biohybrid micromotors is to cloak functionalized synthetic nanomaterials with cell membranes. This method can enhance the biocompatibility of micromotors to the largest extent and avoids recognition by the immune system. Recently, cell membranes/vesicles from red blood cells (RBCs)297 (Figure 13E), platelets216 (Figure 13F), and even dual cells (e.g., RBCs and platelets298) were utilized as camouflage to cover the surface of functionalized synthetic nanomaterials. The magnetic nanoparticles embedded into these biohybrid nanomachines play a role in magnetic guidance. The locomotion of these cell-based biohybrids can be powered by a magnetic field or other driving forces. For example, the random movement pattern of a Janus RBC-Mg motor can be driven by hydrogen bubbles generated by the reaction of Mg and water. The addition of Fe3O4 nanoparticles to the Janus micromotors can make the miniaturized machines move precisely along a predetermined path.297

The third method to fabricate hybrid small-scale swimmers consists of combining active locomotive cells that are born with flagella, among which sperm and bacteria are widely used.31,68,299302 In this method, the motile cell either adheres to the surface of a synthetic particle (normally in the micrometer scale) or another cell or be trapped into a special microstructure. For example, bacteria-driven microswimmers were fabricated by attaching a single E. coli. bacterium to a drug-loaded polyelectrolyte microparticle via viscoelastic connection of the bacteria–particle interface (Figure 13G). The E. coli-powered motor exhibited the chemotaxis behavior under a chemical concentration gradient. Fe3O4 nanoparticles embedded within the polyelectrolyte microparticles functioned as a steering wheel, thus providing the biohybrid motors with directional control over the directionality and enabling guidance of the drug-loaded swimmers to target breast cancer cells in vitro.68 Similarly, the magnetic guidance was also employed in bacterium-RBC micromotors, which were fabricated through the strong conjugation chemistry between the erythrocyte and E. coli bacterium (Figure 13H). In addition, negatively charged microalgae with ellipsoidal morphologies (i.e., Chlamydomonas reinhardtii algal) were integrated with positively charged polyelectrolyte-functionalized magnetic microsphere via electrostatic interactions (Figure 13I). The motile microalgae function as an actuator while the microparticle can be used for cargo encapsulation and magnetic steering.294 In addition, various customized magnetic microstructures (such as tetrapod,31 microtube,299 and helix248) have been prepared to capture the task-carrying spermatozoa to form sperm-hybrid microrobots (known as “spermbots”). Sperm cells with high vitality serve as a motile component of hybrid microrobots to complete specific tasks, for example, targeted drug delivery,31 as shown in Figure 13J. However, they can also act as carriers when they have motility deficiencies. In such cases, the remotely controlled assisted fertilization relies on the synthetic magnetic microstructures of spermbots under the guidance of external magnetic fields.303

The fourth approach consists of adopting a live immune cell to engulf the whole magnetic passive functional materials by taking advantage of the phagocytosis processes of immune cells.304 As a consequence, biohybrid “immunobots”,305 as termed by Metin Sitti’s group, can be formed. After a magnetic double-helical microswimmer was completely internalized by a macrophage, the biohybrid macrophage-based MagRobots were able to perform magnetically driven rolling locomotion along predetermined trajectories by steering the magnetic helical component. The robots were able to swim uninterruptedly even with the presence of cells blocking their pathway. In the absence of a magnetic field, the immunobots could autonomously move by crawling and actuated by the self-propelled movement of the macrophages in a biological environment (Figure 13K).305

5. Applications

5.1. Targeted Drug/Gene Delivery

The precise and efficient transportation of therapeutic payloads to target sites, especially to those confined and hard-to-reach locations of the body, is challenging for passive drug delivery systems. The past decade has witnessed a boom in the development of active smart drug delivery systems using external field-driven miniaturized micro- and nanomotors. Particularly, magnetically driven micro and nanorobots offer several advantages as small agents for targeted cargo delivery including but not limited to remote, precise, and minimally invasive maneuverability, and potential recyclability of residual administered drug-carriers, which often results in serious side effects to healthy organs and tissues.307310 In most cases, very low field strength (in the mT range) is sufficient for the actuation of MagRobots without causing damage to healthy cells.

Before the steerable delivery of cargos (e.g., molecules, drugs, genes), the cargo loading or capture process is needed. The loading of cargos is often conducted by encapsulating them inside the MagRobot structure or by attaching them to the MagRobot surface. The encapsulation process can be directly carried out during MagRobot fabrication while the surface attachment (or adhesion) process can be made using superficial functional groups of biohybrid or synthetic MagRobots. Various organic or inorganic artificial nanomaterials (e.g., Au/Ni/Si nanospears,311 hydrogel-based helical microswimmers,128 Janus Au/Ni/SiO2 microparticles,312 etc.) and biogenic materials (such as pollen grains,289 sperm cells,177 bacteria,35,306,313 erythrocytes,314 and microalgae247,294) have been developed as functional or structural carriers to encapsulate or carry molecules, drugs, genes, or cells. For example, Fe-coated biotubes, which exhibit a drill-like motion under high-angular frequency magnetic fields, were capable of transporting camptothecin (i.e., an anticancer model drug) and delivering it to specific sites, killing the targeted HeLa cells in vitro (Figure 14A).315

Figure 14.

Figure 14

Magnetically powered micromotors for targeted cargo delivery. (A) Fe-coated camptothecin-loaded magnetic biotube for killing HeLa cells. Dead cells are highlighted by white circles. Reproduced with permission from ref (315). Copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (B) Controllable navigation and targeted transport of antibodies inside blood flow by using Janus micropropellers. Reproduced with permission from ref (312). Copyright 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (C) Sperm-based MagRobots capable of delivering heparin-loaded liposomes through flowing blood. Reproduced with permission from ref (177). Copyright 2020 American Chemical Society. (D) pDNA transfection by human embryo kidney cells when in targeted contact with helical microrobots loaded with plasmid DNA. Reproduced with permission from ref (219). Copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (E) Released drugs from hydrogel-based microswimmer for active labeling. Reproduced with permission from ref (128). Copyright 2019 American Chemical Society.

Considering the complexity of the human body’s environments, it is key to investigate the propulsion mechanisms of MagRobots and strategies for cargo delivery and release under complicated physiological conditions in different body fluids such as gastric juice, saliva, and blood. Recently, a cell-sized Janus micromotor loaded with antibodies as receptors for the recognition of target cells and anticancer drugs was able to navigate in a simulated blood circulation system (Figure 14B).312 Although the propulsion of MagRobots was weakened under dynamic flow conditions, the ability of active upstream locomotion in the bloodstream was confirmed in flat and 3D surfaces. Furthermore, the utilization of biohybrid micromotors combining sperm cells and synthetic magnetic micro and nanoarchitectures to deliver anticoagulant agents (i.e., heparin) in the bloodstream was reported (Figure 14C),177 which is promising for treating diseases of the circulatory system such as thrombotic clots. In addition to drugs, targeted transport of genes (e.g., plasmid DNA) to a single cell and subsequent transfection was achieved by the utilization of helical micromotors under the actuation and navigation of low-strength rotating magnetic fields (Figure 14D).219 Recently, Peer Fischer’s group reported targeted transfection and gene delivery by using biocompatible FePt nanopropellers under rotating millitesla fields.316

After delivering payloads to a specific location, cargo molecules can be released naturally via diffusion or via specific stimuli (such as pH,266 temperature,267 light irradiation,67 or chemical changes at the disease site) according to the practical application requirement. For example, because the concentration of matrix metalloproteinase-2 (MMP-2) enzyme at the tumor site is higher than that at normal physiological conditions, hydrogel-based helical microswimmers demonstrate a quicker response to the evaluated concentration of MMP-2 enzyme, resulting in a boost-release of embedded cargo (i.e., antibody-tagged Fe3O4 nanoparticles) through the swell behavior of the hydrogel.128 The released antibody-tagged payloads from the micromotors can be further used for active labeling of targeted tumor cells (Figure 14E).

5.2. Cell Manipulation

Cell manipulation is the practice of maneuvering the physical position of cells to separate them from the milieu of other phenotypically different cells (i.e., cell-based screen), guiding them into a specific target position (e.g., for fertilization), or organizing themselves in vitro. With the rapid advance of proteomics and genomics, it is of great significance to develop sophisticated tools for single-cell manipulation, especially massively parallel single-cell manipulation.317 Magnetically powered miniaturized robots are capable of 3D manipulation of a single cell in terms of capture, transport, sorting, isolation, and pattering, with excellent maneuverability and high precision at the nano- and microscale in complex physiological environments without changing the intrinsic properties of the cells.318,319 For instance, trapping of breast cancer cells was reported by tosyl-functionalized superparamagnetic microbeads due to the instantaneous strong binding between the tosyl groups from the surface of microswimmers and the −NH2 groups from the membrane proteins of cancer cells. Manipulation of single or multiple cell-laden microrobots was achieved by the propulsion of oxygen bubbles and manual direction guidance using a neodymium magnet (Figure 15A).210 Arranging cells to achieve predetermined patterns with the assistance of an arrayed substrate was implemented through single-cell pick-up and subsequent delivery using magnetically propelled peanut-like micromotors (Figure 15B).170 To aid sperm cells with defective locomotion features to complete their fertilization task, Oliver G. Schmidt’s group designed several motile nano/micromotors as assisted tools303 such as magnetic microcarriers with a cylindrical cavity and a helical body320 and a magnetic helix248 (Figure 15C). Moreover, magnetically driven micromotors provide an invasive way to transfer zygotes through the uterus and fallopian tube (Figure 15D), and magnetic microrobots with spiral shapes exhibit higher maneuverability in terms of capture and transfer of the zygotes between different physiological environments than those with helical shapes.321 Transportation of neural progenitor cells was conducted by the corkscrew-like motion of magnetically powered soft microswimmers containing piezoelectric polymer and CoFe2O4 magnetic nanoparticles under a rotating magnetic field. Subsequent neuronal differentiation of PC12 cells was induced by the acoustic stimulation due to the utilization of piezoelectric polymer as a stimuli-responsive cell electrostimulation platform (Figure 15E).217 Furthermore, Kim et al.322 precisely manipulated a neuron-loaded magnetic microrobot to a gap between two neural clusters to connect broken neural networks. Recently, successful trials of magnetically powering microrobots toward a target site (such as a liver tumor micro-organ, ventricle of mouse brain, blood vessel of rat brain, and live mouse) using in vitro, ex vivo, and in vivo experimental models, indicate the feasibility of adopting MagRobots for the purpose of targeted stem cell transport and transplantation (Figure 15F).122

Figure 15.

Figure 15

MagRobots for cell manipulation. (A) Manipulation of T47D cancer cells using superparamagnetic/Pt Janus micromotors via bubble propulsion and magnetic actuation. Reproduced with permission from ref (210). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (B) Delivery and patterning of a single cell by peanut-like hematite microrobots. Reproduced with permission from ref (170). Copyright 2018 American Chemical Society. (C) Transport of nonmotile sperm cells to the oocyte with the assistance of magnetically driven helical micromotors. Reproduced with permission from ref (248). Copyright 2015 American Chemical Society. (D) Magnetically powered microspirals for the delivery of murine zygote. Reproduced with permission from ref (321). Copyright 2020 The Authors. (E) Magnetically actuated transport of neural progenitor cell and ultrasound-induced neuronal differentiation. Reproduced with permission from ref (217). Copyright 2019 The Royal Society of Chemistry. (F) MagRobots as motile 3D scaffolds for stem cell delivery. Reproduced with permission from ref (122). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science.

5.3. Minimally Invasive Surgery

Miniaturized machines that are capable of precisely opening specific cell membranes to kill abnormal cells and even achieve intracellular delivery of various drugs (including DNA) are promising candidates for noninvasive surgery.323,324 Nano/microrobots that project sharp tips or have the ability to perform a corkscrew-like movement can execute drilling under the application of a rotating magnetic field. The drilling feature can be harnessed to penetrate tissue with high precision, holding great promise to perform untethered microsurgeries. As shown in Figure 16A, microdrillers (tubular Ti/Cr/Fe microdrillers with sharp tips) were able to penetrate into a section of porcine liver tissue via magnetically driven mechanical drilling. To make the microdriller “stand up” to drill, a specific angular frequency threshold of the rotating field (in correlation with the viscosity of media) is required to transform the horizontal rotation mode into a vertical rotation mode.41 Other representative microdrillers are Fe-coated calcified biotubes containing pointed ends, which are extracted from Dracaenea marginata leafs. Upon magnetic actuation, the microdagger stabbed into the cellular membranes of HeLa cells with a drill-like motion, finally resulting in cell death. In addition, the ability to drill into a target cell can be utilized for subsequent drug delivery because the porous structures of calcified biotubes endow the microdriller with the capacity of drug loading.315

Figure 16.

Figure 16

MagRobots for minimally invasive surgery. (A) Schematic image and experimental image (inset) of rolled-up magnetic microdrillers with sharp end penetrating into a pig liver after drilling motion. Reproduced with permission from ref (41). Copyright 2013 The Royal Society of Chemistry. (B) Schematic of a driller working in a 3D vascular network and experiment result shows the driller can dislodge blood clot. Reproduced with permission from ref (325). Copyright 2018 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License. (C) Movement of Au/Ag/Ni surface walker under a transversal rotating field with different frequencies and magnetic navigation of microrobots to penetrate a cell and remove a cell fragment. Reproduced with permission from ref (173). Copyright 2020 American Chemical Society. (D) Magnetic manipulation of Si/Ni/Au nanospears for targeted intracellular transfection. Reproduced with permission from ref (311). Copyright 2018 American Chemical Society. (E) Penetration of Helicobacter pylori bacterium and helical MagRobot into mucin gels and liquefaction of mucus via enzyme-catalyzed reaction. Reproduced with permission from ref (222). Copyright 2015 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (F) Long-range propulsion of injected slippery MagRobots in the vitreous toward the retina with the assistance of a magnetic field and standard optical coherence tomography. Reproduced with permission from ref (127). Copyright 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science.

A millimeter-sized magnetic driller can be navigated in a 3D vascular channel and perforate a blood clot in a simulated thrombosis model environment, providing an application potential for cardiovascular disorders (Figure 16B).325 Besides, surface walkers also can open the cell membrane. Recently, we developed Au/Ag/Ni microwires that display walking movement under a transversal rotating magnetic field. Because of the rigidness of the microwires, they can only perform a drilling movement. To make the structure of microwires slightly bent, an Ag segment was partly etched by concentrated H2O2 solution. As a consequence, a surface tumbling motion can be achieved. The surface walkers, functioning as microscalpels, can penetrate cancer cells, capture a piece of the cytosol, and exit the cells while leaving the cytoplasmic membrane intact, thus demonstrating excellent minimally invasive microsurgery capabilities173 (Figure 16C). Au/Ni/Si nanospears functionalized with plasmid were able to penetrate U87 glioblastoma cells by means of rotating magnets, and deliver the gene (i.e., eGFP expression-plasmid) within the cells over large areas (Figure 16D). Such intracellular cargo delivery in a high-throughput manner paves the way for translation to new clinical cellular therapies.97,311

Realistic biological environments are substantially complex. The microscopic propulsion of micro/nanorobots in biofluid environments (e.g., bloodstream,24,251,326328 saliva,329 semen,330 mucus,222 vitreous humor,127,331333 brain vasculature,334 cerebrospinal fluid in the spine or brain, urinary fluid, gastrointestinal fluid,335,336 etc.) is different from that in Newtonian fluid. Physicochemical and histological barriers (e.g., cell membrane,323 blood–brain barrier,337 intestinal mucosal barrier), interactions with boundaries, crowded biological environments, complex rheology (e.g., viscoelasticity, shear-thinning), and other factors impact the locomotion behaviors and application performance of micro/nanorobots in biological environments.338341 Attempts have been made to exploit the actuation of MagRobots in complex biofluids. For example, to overcome the mucus barrier, Peer Fischer’s group222 developed a helical microdriller surface-functionalized with urease as shown in Figure 16E. Such microdrillers can penetrate the viscoelastic mucin gel in an acidic environment in the presence of urea and swim freely inside under a rotating magnetic field. This idea is inspired by Helicobacter pylori bacteria, which are capable of decreasing the viscosity of mucin gel via a gel–sol transition caused by the release of ammonia through an enzyme-catalyzed procedure that raises the local pH. To move further toward clinical application, the same group created magnetic helical micropropellers that were able to penetrate the biopolymeric network of porcine vitreous humor and swim inside over a centimeter distance under navigation by a rotating magnetic field and using clinical optical coherence tomography as shown in Figure 16F.127 The smooth propulsion of the micropropellers in the dense biopolymeric network lies in the slippery liquid layer on the surface of micropropeller, which minimizes the adhesion force to the surrounding environment. More mechanisms, actuation approaches, and applications of micro/nanorobots in complex biofluids that resemble real-world scenarios are required to be explored.

5.4. Biopsy

MagRobots have been proved to be wireless biopsy tools to capture a single cell or collect tissue samples from healthy or diseased organs, including breast, lung, liver, skin, prostate, and so forth, with high specificity and selectivity for further disease diagnosis. These functional magnetic miniaturized robots, normally in the microscale, are called microgrippers. To have the ability to pick up an object and lay it down, analogous to the function of human hands, most of the magnetically driven microgrippers40,342344 explored to date are flexible (see Section 4.3). Thermoresponsive flexible MagRobots have been widely used as grippers due to their temperature-induced opening and closing capacities39,345347 (Figure 17A). For instance, a thermoresponsive magnetic microrobot, having a tip-to-tip size of 70 μm in its open state and 15 μm in its folding state, was able to conduct single-cell biopsy (Figure 17B). The thermally responsive layer of the microgripper is made from paraffin wax, whose phase-transition temperature is in close proximity to biological temperatures, including humans. After being navigated to the position of a fibroblast cluster, the untethered microgripper grasped one cell or a few cells when it transformed from open to closed state with the increase of field temperature. Cell separation from the cluster and retrieval of the microrobot can be easily fulfilled by adjusting the direction of magnetic field. Metin Sitti’s group343 utilized hundreds of thermosensitive microgrippers that had been pre-encapsulated in the chamber of a centimeter-scaled magnetically actuated capsule endoscope (MASCE), to grab stochastically tissue inside the stomach ex vivo for further analysis. Retrieval of distributed magnetic microgrippers was conducted by strong wet-adhesive force from the retrieval unit of MASCE. This multiscale robotic system provides a novel multiagent collaboration strategy not only for gastrointestinal capsule biopsy but also for other biopsy tasks in complex physiological structures and environments. An in vivo tissue excision of the porcine biliary tree was conducted using thermal-induced self-folding microgrippers as shown in Figure 17C. More than 1000 microgrippers were delivered to the position of interest (i.e., the biliary orifice) through a standard catheter with the assistance of the endoscopic camera. The thermosensitive magnetic microrobots, initially in the open state, spontaneously transformed into closed state in order to excise tissue samples when they are exposed to body temperature (37 °C) for 10 min. Retrieval was carried out by using a catheter containing a magnetic tip. Subsequent PCR (polymerase chain reaction) results indicated that the excised tissue piece was sufficient for genetic or epigenetic diagnosis in terms of quantity and quality.

Figure 17.

Figure 17

MagRobots for biopsy. (A) Schematic of a thermoresponsive gripper autonomously picking up and placing a target. Reproduced with permission from ref (345). Copyright 2016 The Authors. (B) Cell biopsy from a cell cluster using a magnetically navigated thermoresponsive microgripper and immunofluorescence images of suspended fibroblast cells captured by the microgripper. Reproduced with permission from ref (342). Copyright 2020 American Chemical Society. (C) (a) Transport of microgrippers into the porcine biliary orifice using an endoscope-assisted catheter; (b) retrieval of microrobots with the assistance of a magnetic catheter; (c) retrieved microrobot with a tissue piece in its “hand” after Trypan Blue staining. Reproduced with permission from ref (348). Copyright 2013 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

5.5. Biofilm Disruption/Eradication

Different from planktonic (free-swimming) bacterial cells, the interaction of cell masses (i.e., community of microorganisms) produces a matrix called “extracellular polymeric substances” (EPS).349 The embedded cells and the viscoelastic matrix that constitute the biofilm on the surface of a subject are notoriously difficult to eliminate.350 The nature of bacterial biofilms’ resistance to antimicrobial agents makes them a source of some recalcitrant infections. Magnetically powered nano/microrobots manifest themselves in the competence to penetrate into the matrix and disrupt the biofilm formation or eradicate already-formed biofilm due to their small size as well as high magnetically driven mechanical force. A biohybrid microrobot based on nonpathogenic magnetotactic bacteria has been used to penetrate into the island of Escherichia coli by the external actuation of magnetic field351 as shown in Figure 18A. Although this invasion can temporarily cause the elastic formation of the biofilm, the microrobot was almost trapped in it, presenting restrained movement ability. How to make nano/microrobots swim in a viscous media is a common challenge. A magnetic microrobot made from tea buds, called “T-Budbots”, was able to precisely fragment and remove bacteria biofilm.352 As demonstrated in Figure 18B, T-Budbots left a clear trail on the surface of P. aeruginosa biofilm after their movements, indicating that the biofilm had been effectively swept away. Moreover, antibiotic encapsulated in T-Budbots of the biofilm exhibited a pH-triggered release behavior around the acidic microenvironment of the biofilm. Once the biofilm was disrupted, the dislodged bacterial cells were exposed to the drugs and finally killed. One of the most outstanding advantages of using MagRobots to execute the task of biofilm elimination lies in their function to be directed to a confined and hard-to-access position. A recent study demonstrated that magneto-catalytic iron oxide nanorobots (called “CARs”) are capable of the degradation and removal of biofilms in the isthmus of human teeth due to the catalytically induced generation of reactive antibiofilm molecules and the external shear forces from magnetic actuation (Figure 18C).353

Figure 18.

Figure 18

Representative examples of biofilm disruption or eradication using active MagRobots. (A) Magnetic guidance of biohybrid microbot into an island of E. coli biofilms. Reproduced with permission from ref (351). Copyright 2017 American Chemical Society. (B) Linear footprints left on the surface of P. aeruginosa biofilm after the motion of MagRobots. Reproduced with permission from ref (352). Copyright 2020 American Chemical Society. (C) Application illustration of biofilm removal in confined and hard-to-reach positions, such as interior of human teeth, catheter surfaces, or implant surfaces by using two types of catalytic antimicrobial robots (CARs) under the navigation of magnetic field. Reproduced with permission from ref (353). Copyright 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science.

5.6. Imaging-Guided Delivery/Therapy/Surgery

To translate medical micro/nanorobots from the bench to the bedside, imaging technologies are of vital importance to achieve real-time tracking of the MagRobots in vivo.202,354361 Clinically established imaging modalities, including but not limited to optical imaging, magnetic resonance imaging (MRI),53,198,326,362364 magnetic particle imaging (MPI),185 fluorescence imaging,365367 ultrasound (US) imaging,89,125,368371 photoacoustic (PA) imaging,226,372 X-ray computed tomography (CT), photoacoustic computed tomography (PACT),83 optical coherence tomography (OCT),127,373 single-photoemission computed tomography (SPECT),374 positron emission tomography (PET),375 and their combined imaging techniques (e.g., MR/CT,376 PET/CT,377 PET/MRI378) can be integrated into miniaturized robotics systems. Although many challenges remain, many researchers have attempted to use these imaging techniques as powerful tools to assist the tracking of MagRobots for site-specific drug delivery, targeted therapy, and precision surgery.

Because of limited penetration depth of biological tissues, optical imaging is not suitable for the visualization of MagRobots across tissues in vivo. For magnetically driven micro/nanorobots, MRI is an efficient tool to track the position of MagRobots both in vitro and in vivo.357 Both MRI and MPI are magnetic-based imaging techniques. MRI has been widely used in clinical practice, especially for three-dimensional anatomical images of soft tissues. The main advantages of MRI lie in high soft-tissue contrast, high spatial resolution, and no consumption of dedicated contrast or imaging agents. Most importantly, strong magnetic fields and field gradients generated by MRI scanners provide suitable actuation environments for the navigation of MagRobots, while MagRobots with integrated magnetic compositions or components can augment the signal and boost image quality. As one representative example shown in Figure 19A, in vivo MRI tracking of a swarm of microalgae-based helical microrobot inside the subcutaneous tissues of a rodent stomach was reported by Zhang’s group.249 Felfoul and co-workers379 reported real-time positioning and tracking of a microrobots magnetically propelled by MRI gradients in the carotid artery of a pig in a closed-loop control scheme.

Figure 19.

Figure 19

Visualization of MagRobots in vivo via various medical imaging modalities. (A) Cross-sectional magnetic resonance imaging of microrobot swarms inside the subcutaneous tissues of a rat’s stomach after magnetic actuation and steering via rotating field for different time periods. Reproduced with permission from ref (249). Copyright 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (B) Image-guided theranostic platform via the combination of magnetic particle imaging and localized magnetic hyperthermia experimentally demonstrated in a U87MG xenograft mouse with superparamagnetic nanorobots present in the liver and tumor. Reproduced with permission from ref (185). Copyright 2018 American Chemical Society. (C) In vivo fluorescence images of spirulina-based MagRobots in the intraperitoneal cavity of mice at various residence times. Reproduced with permission from ref (249). Copyright 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. (D) Tracking of the generation process of a MagRobot swarm in a bovine eyeball via ultrasound imaging technique. Reproduced with permission from ref (125). Copyright 2019 The Authors. (E) Utilization of multispectral optoacoustic tomography for real-time tracking of individual moving microrobot within phantoms actuated by a permanent magnet. Reproduced with permission from ref (393). Copyright 2019 American Chemical Society. (F) SPECT images of radiolabeled microrobots in Eppendorf tube and in mice. Reproduced with permission from ref (374). Copyright 2019 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim.

MPI, first proposed by Bernhard Gleich and Jürgen Weizenecker,380 is a three-dimensional tomographic imaging method. The MPI scanner comprises two permanent magnets in a Maxwell configuration. Larger field gradients in the MPI scanner workspace provide a strong propulsion force to drive magnetic objects.381383 However, in terms of the spatial resolution of MPI (a few millimeters) in the current platform, this technique is only applied to the visualization of swarming micro/nanorobots, not an individual one. Tay and co-workers185 reported quantitative guidance of MPI imaging, precise localization of magnetic hyperthermia, induced by the interaction between MPI gradient and superparamagnetic magnetic nanoparticles, to arbitrarily selected tumor sites. When the field-free region (FFR) of the MPI gradient was centered to the targeted tumor area, localized heat only killed the cancerous tissues while minimizing the collateral heat damage to nearby healthy tissues (Figure 19B).

Fluorescence imaging, with the advantages of excellent planar resolution (≈ 100 nm) and high sensitivity, has become another widely used medical imaging modality. Under the guidance of fluorescence imaging, the utilization of spore-based magnetic microrobots functionalized with carbon quantum dots for effective targeted delivery was demonstrated by Zhang’s group.384 They designed an automated control system that can help microrobots avoid obstacles and find the optimal path based on a particle swarm optimization algorithm with the assistance of vision feedback.384,385 However, fluorescent probes (e.g., organic dyes,386 quantum dots,387 metal–organic frameworks,388,389 etc.), which usually have poor biocompatibility and biodegradability, are required to label the micro/nanorobotic materials or cells. Because of the intrinsic fluorescence feature, excellent biocompatibility, and biodegradable performance of Spirulina microalgae, microalgae-based magnetic microrobots allow for in vivo fluorescent imaging without the use of probes and concern for biosafety (Figure 19C).249

Ultrasound imaging, as a conventional clinical imaging technique, mainly has two different modalities, namely, B-mode and Doppler.390,391 The former is based on pulse–echo technique while the latter relies on the Doppler effect. The main advantages of US imaging lie in high spatial and temporal resolution, large penetration depth, minimal damage to tissues, and relatively lower setup cost. A magnetically driven microrobot swarm was visualized and tracked in a bovine eyeball via US imaging125 as shown in Figure 19D. Sitti’s group used the color Doppler mode of US imaging to track the “hairbots” in ex vivo chicken breast.268 Recently, Zhang’s group adopted US Doppler for real-time guidance of a swarm of magnetic microrobots for endovascular delivery.370

Photoacoustic imaging, first proposed by Alexander Graham Bell392 in 1881, is a “light-in, sound-out” approach. A light source (i.e., IR laser) and US transducer are two fundamental elements for a PA imaging setup. Utilization of PA imaging to track microalgae-based magnetic microswimmers for killing pathogenic bacterial was reported.226 A more advanced PA imaging technique, multispectral optoacoustic tomography, was adopted for real-time monitoring of the migration of single magnetically driven conical micromotors with the length of 100 μm in phantom as well as ex vivo chicken tissue393 as show in Figure 19E.

X-ray-CT, PET, and SPECT belong to the category of ionizing radiation-based techniques that employ high-frequency radiation with wavelength ranging 10–100 nm. As a consequence, these techniques endow high penetration depth and spatial resolution, but the harm radiation does to living (human) tissues must be taken into consideration. In comparison with the widely used X-ray CT technique used in clinics, PET and SPECT techniques based on γ-rays have been developed in the last decades. Although the two state-of-the-art imaging techniques exhibit excellent spatial resolution and molecular selectivity, the utilization of PET and SPECT (usually in conjunction with CT imaging) for the localization and tracking of MagRobots is still in its infancy. For both techniques, interested materials or micro/nanorobots are often conjugated with radiotracers (such as 64Cu, 124I, 18F, 68Ga, 99mTc, etc.).374,378,394397 SPECT imaging for individual microrobots with diameter as low as 100 μm was reported by Nelson’s group374 as shown in Figure 19F. To track the shape transition (e.g., from tubular to planar configuration) of microrobots, they used 99mTc [Tc]-based radioactive compounds to label the magnetically driven thermoresponsive hydrogel-based microrobots. More research is expected to explore the combination between biomedical imaging techniques and locomotive micro/nanorobots, and aimed at targeting individual MagRobots or a swarm of MagRobots to a specific location with high temporal and spatial precision, and executing certain diagnostic or therapeutic tasks in an invasive and visualizable fashion. Because of the restriction of small size, clear observation of a single miniaturized robotic in the nanoscale and microscale using current biomedical imaging techniques is still a big challenge.

5.7. Pollution Removal for Environmental Remediation

In addition to the biofriendliness, recoverability of magnetically driven micro- and nanorobots, and the toxin-free nature of magnetic manipulation, MagRobots can also actively swim around waterborne pollutants (e.g., dyes, oil, heavy metals,292 microplastics, microbial pathogens, estrogenic,398,399 etc.) and remove them by capture (adsorption/absorption) or degradation. As such, small-scale MagRobots constitute a technology with great potential for water remediation. In the future, sophisticated magnetic manipulation systems could be used to externally guide MagRobots to pollution sites (i.e., canalizations, industrial reactors, tanks, pools) in a contactless fashion. Additionally, magnetic fields can be used to accelerate reaction kinetics or recognition efficiency due to the robust dynamic intermixing (i.e., magnetic stirring function) and to retrieve the nano/microrobots once the cleaning procedure has been finalized.400 Eventually, the cleaning agents can be reused or recycled if their constituent components have remained unaltered. The treatment of six representative pollutants using miniaturized magnetic motors is summarized in Figure 20.

Figure 20.

Figure 20

Representative pollutant removal by active MagRobots. (A) Directional motion of walnut-like magnetic micromotor under an external magnetic field and its oil-removal ability. Reproduced with permission from ref (401). Copyright 2019 American Chemical Society. (B) Pollen-based microsubmarines for the removal of microplastics (i.e., PS spheres). Reproduced with permission from ref (402). Copyright 2020 Elsevier Ltd. (C) Higher removal efficiency of heavy metals by dynamically swarming spore@Fe3O4 biohybrid micromachines compared with that of their static counterparts. Reproduced with permission from ref (292). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (D) Pd/Ni/Ag nanocoils for removing microbial pathogens. Reproduced with permission from ref (403). Copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (E) Magneto-catalytic micromotors for the degradation of Methylene Blue (MB) dye. Reproduced with permission from ref (404). Copyright 2020 American Chemical Society. (F) Lotus pollen-templated magnetic micromotors for temperature-sensitive adsorption of erythromycin. Reproduced with permission from ref (290). Copyright 2019 Elsevier B.V.

The autonomous movement of a walnut-like microrobot composed of polycaprolactone, Fe3O4 nanoparticles, and catalase in H2O2-included solution is ascribed to the oxygen bubbles from the enzyme-catalytic degradation of H2O2, exhibiting a spiral trajectory.401 The direction of the microswimmers could be controlled using external magnetic fields. Because of the hydrophobic nature, the motile walnut-like micromotor was capable of collecting spilled oil (Figure 20A). Because of the incorporation of Fe3O4 component, the recycling of the micromotor was realized by using a magnetic field.401 A magnetic hollow microsubmarine, using natural sunflower pollen grains as a template, was reported to remove leaked oil and microplastics pollutants simultaneously (Figure 20B).402 High removal efficiency of heavy metal ions was found in porous biohybrid microrobots consisting of fungi spore and Fe3O4 nanoparticles. The collective behaviors of the microrobots and magnetically steered agitation could further enhance the pollutant adsorption ability compared with static microrobots (Figure 20C).292 The excellent antibacterial ability of Pd/Ni/Ag nanocoils and high magnetic maneuverability at low magnetic strength (8 mT; 10 Hz) allows for precise locomotion of nanorobots toward the target location of bacterial infection to efficiently fight against the drug-resistant bacteria (Figure 20D).403 The dual actuation of micromotors prepared from carbon soot by using a magnetic field and oxygen microbubbles facilitated efficient on-the-fly degradation of MB dye pollution404 (Figure 20E). In addition, the use of functional magnetic micromotors for the absorption or removal of antibiotics, such as erythromycin (Figure 20F)290 and doxycycline405 in contaminated water, has also been investigated.

5.8. Sensing and Biosensing

According to sensing mechanisms, there are three main purposes of using magnetically driven micro/nanomotors for sensing and biosensing. First, because the motion behaviors (e.g., velocity, wobbling angle) of MagRobots is related to an applied external magnetic field as well as properties (e.g., temperature, pH, viscosity, ionic strength) of the solution, the detection of these movement parameters of MagRobots provides a novel approach to probing the local microenvironment in a heterogeneous medium.406 For instance, a helical nanomotor was developed as a mobile viscometer capable of monitoring in real-time the surrounding viscosity in homogeneous or heterogeneous media. A mathematical model was developed that establishes a relation between viscosity and the precession angle of the swimmer. High temporal and spatial precision of the viscometer was confirmed by gradually measuring the viscosity of deionized water from the hot state (70 °C) to its cool-down state (30 °C) and mapping the local viscosity from a reference fluid (e.g., deionized water) to another fluid (e.g., glycerol–water 4:1 v/v) in a microfluidic chamber under the application of homogeneous rotating magnetic fields (Figure 21A).158 Second, externally maneuvered MagRobots can act as signal amplifiers and, therefore, provide enhanced detection sensitivity and efficiency for identifying the signals (e.g., fluorescence) triggered by target molecules due to the active stirring and vigorous mass transfer in the solution.407 Janus micromotors, which contain phenylboronic acid-modified graphene quantum dots, iron oxide nanoparticles, and Pt nanoparticles, were used to detect the bacterial endotoxin in contaminated water. The reaction between graphene quantum dots and the targeted endotoxin results in the fluorescence quenching of the dots while phenylboronic acid tags serve as specific recognition receptors of the endotoxin. Compared with that in the static conditions, the micromotors actuated by external magnetic fields or those autonomously propelled by oxygen bubbles displayed faster fluorescence quenching than those that remained static due to elevated fluid intermixing (Figure 21B).408 Similarly, mobile magnetic spore@Fe3O4@CDs microrobots can remotely detect C. diff toxins with much more obvious fluorenes quenching in a noninvasive way through the targeting combination of C. diff toxins and CDs (carbon quantum dots) in comparison with nonactuated microrobots.296 Third, MagRobots can function as a navigator, precisely guiding payloads (especially biomolecules for the diagnostic purpose) to a user-defined site for chemical/biological interactions or other purposes in an untethered way. Janus magnetic microrobots were capable of loading biotin-functionalized commercially purchased microbeads and transporting them to a specific region under the steering of a uniform electric field and rotating magnet. The dynamic binding between the surface-immobilized probe (i.e., biotin) and the target analyte (i.e., avidin) provides a label-free method for biosensing. The experimental detection limit in a single microfluidic chamber can be as low as 2 μg/mL (Figure 21C).409

Figure 21.

Figure 21

(A) Helical nanorobots as mobile viscometers. Reproduced with permission from ref (158). Copyright 2018 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (B) Graphene Quantum Dots MagRobots for the detection of endotoxin from E. coli. Reproduced with permission from ref (408). Copyright 2017 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim. (C) Janus micromotors deliver biotin-functionalized cargos for avidin sensing within a microfluidic device. Reproduced with permission from ref (409). Copyright 2020 American Chemical Society.

6. Conclusion and Future Perspectives

The last decades have witnessed great advances and breakthroughs in MagRobots, including innovative manufacturing approaches, reconfigurable and programmable navigation techniques, advanced theoretical models, impressive proofs of concept, and clinically oriented application trials. This review introduces basic knowledge of magnetic fields and magnetic materials, offers the experimental setups of magnetic manipulation systems and various field configurations, and proposes the strategies to generate nonreciprocal movement. The movement mechanisms of flagella-inspired helical motion, undulatory motion, and boundary-assisted motion also are presented. Fabrication techniques of (quasi-)spherical, helical, flexible, wire-like, and biohybrid MagRobots are summarized, followed by various state-of-the-art applications in the field of biomedicine and environment.

The considerable application potential of micro/nanorobots in the biomedical area, such as targeted drug/gene delivery, localized bioanalysis, cell sorting, microsurgery, biopsy, detoxification, biofilm removal, and biosensing becomes a driving force that attracts an increasing number of scientists to join in this emerging research field.144,410

In addition, before implementing MagRobots in real applications, the following aspects should be taken into consideration: (i) MagRobots’ materials should meet the standards of practical biomedical and environmental applications, such as biocompatibility and biodegradability, and bring economic and social benefit. For instance, expensive materials and fabrication apparatus or complicated preparation procedures limit the mass production of synthetic microstructures. This is a challenge that researchers face today and should be solved in the future. (ii) To enhance the work efficiency of MagRobots in complex environments, swarms or collective behavior of synthetic MagRobots can be regulated to cooperatively and efficiently execute complex biological or environmental missions that would be insurmountable for a single MagRobot. Moreover, reconfigurability provides another strategy for MagRobots to adapt to variational biological surroundings. For instance, the intriguing collective behavior from the self-assembly of nanoparticles could present a reversible pattern transformation (i.e., reconfigurability) under the steering of an external field, enhancing MagRobots’ tasking capabilities and high environmental adaptability. Finally, great endeavors have been made to navigate these untethered microrobots in various complex body fluids such as blood, gastric juice, urine, cerebrospinal fluid,217 and intracellular medium. However, given the complexity of biological fluids, the relation between movement behaviors of MagRobots and environment parameters (e.g., the components, temperature, viscosity, boundaries, the flow speed of the biological fluids, etc.) are expected to be theoretically and experimentally established in order to obtain better control of MagRobots. (iii) Precise maneuvering of MagRobots on-body and in real-time is very important and their monitoring is essential. This is a challenge confronted by micro/nanorobots researchers. Clinical imaging systems in current use, such as MRI as discussed in Section 5.6, can help in terms of visualization and as an actuation source. However, there is still room to improve MagRobots’ programmability in terms of orientation, locomotion, and even morphology. In this way, if MagRobots can be controlled and altered according to actual conditions or occasions such as the patient’s health status and physiology, then MagRobots will be able to perform precise and personalized therapy.

In summary, a good understanding of the mechanism of magnetically driven micro/nanorobots and corresponding impact factors (e.g., geometrical shape, field configuration, fluids properties, and boundary) is a precondition for the conceptualization, functionalization, and automation of MagRobots. High spatial maneuverability, fast reconfigurability, and precise programmability are the ultimate research goals of small-scale robots (see Figure 22). Although there is a long way to go to translate robust minimized robots from bench to bedside, considerable advances are bringing fantasy closer to reality.

Figure 22.

Figure 22

Diagrammatic summary of this review including (but not limited to) experimental setups, actuation mechanisms, fabrication approaches for various MagRobots, and applications, and the advantages of MagRobots.

Acknowledgments

M.P. acknowledges the support from the project Advanced Functional Nanorobots (Reg. No. CZ.02.1.01/0.0/0.0/15_003/0000444 financed by the EFRR). S.P. acknowledges support from the ERC-2017-CoG HINBOTS Grant No. 771565. M.P. was supported by Ministry of Education, Youth and Sports (Czech Republic) Grant No. LL2002 under ERC-CZ program. L.Z. would like to thank the financial support from the Hong Kong Research Grants Council (RGC) under Project No. JLFS/E-402/18, the ITF Projects under Projects MRP/036/18X and ITS/374/18FP funded by the HKSAR Innovation and Technology Commission (ITC), the Hong Kong Croucher Foundation project under Ref. No. CAS20403, the Research Sustainability of Major RGC Funding Schemes, and the Direct Grant from CUHK, as well as support from the Multiscale Medical Robotics Center (MRC), InnoHK, at the Hong Kong Science Park.

Biographies

Huaijuan Zhou is currently a Marie Skłodowska-Curie Actions (MSCA) Fellow at the University of Chemistry and Technology Prague, Czech Republic. She received her Ph.D. degree in 2016 from the University of Chinese Academy of Sciences under the supervision of Prof. Ping Jin. She has a broad research interest in designing, preparing, and characterizing functional nanothin films, semiconductor materials, field-induced chromic materials, energy conversion materials, lithium battery materials, biomaterials, and locomotive micro/nanomachines for energy conservation/conversion/storage, biomedical engineering, and environmental remediation.

Carmen C. Mayorga-Martinez is currently the Kralupy Unit Leader and senior scientist at the Center for Advanced Functional Nanorobots, UCT-Prague. She was research fellow in the nanobioelectronics and biosensors group/ICN2, Barcelona-Spain, and in Nanyang Technological University, Singapore. She completed her Ph.D. degree in National University of Tucuman, Argentina, in 2009. Currently, her main research fields include development of bio/sensors based on 2D materials and nanoparticles platforms functionalized with bioreceptors (enzyme, DNA, and antibodies) as well as micro/nanomotors for biomedical applications and environmental monitoring. Moreover, she is also interested in 2D-materials catalysis for energy application.

Salvador Pané is currently codirector of the Multi-Scale Robotics Lab and a titular professor at ETH Zürich, leading the group of Materials for Robotics at the Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich. He received his Ph.D. in chemistry (2008) from the Universitat de Barcelona in the field of the electrodeposition of magnetic materials. He became a postdoctoral researcher at IRIS in August 2008 and senior research scientist in 2012. Prof. Pané is currently working on bridging materials science, chemistry, and electrochemistry with small-scale robotics for various applications.

Li Zhang received his Ph.D. degree from the University of Basel, Basel, Switzerland, in 2007. He joined the Institute of Robotics and Intelligent Systems (IRIS), Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, as a Postdoctoral Fellow, in 2007 and as a Senior Scientist from 2009 to 2012. He is currently an Associate Professor in the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong SAR, China. His main research interests include micro and nanorobotics for biomedical applications and their collective behaviors for the development of small-scale robot swarms. Dr. Zhang received the Hong Kong RGC Early Career Award in 2013 and several awards from IEEE conferences such as ICRA, IROS, CASE, ICARM, and NANOMED. He is a Distinguished Lecturer appointed by the IEEE NTC.

Martin Pumera is Director of the Center for Advanced Functional Nanorobots and a Distinguished Professor of Chemistry at University of Chemistry and Technology, Prague, and Chief Investigator of Future Energy and Innovation Lab at CEITEC, Brno, Czech Republic. He received his Ph.D. from Charles University, Czech Republic, in 2001. After two postdoctoral stays, in 2006 he became tenured group leader at the National Institute for Materials Science (NIMS), Japan. In 2010, he joined Nanyang Technological University, Singapore, as a tenured associate professor for nearly a decade. He has broad interests in nanomaterials and microsystems and in specific areas of electrochemistry and synthetic chemistry of 2D nanomaterials, nanotoxicity, micro and nanomachines, and 3D printing.

The authors declare no competing financial interest.

References

  1. Terzopoulou A.; Nicholas J. D.; Chen X.-Z.; Nelson B. J.; Pané S.; Puigmartí-Luis J. Metal-Organic Frameworks in Motion. Chem. Rev. 2020, 120, 11175–11193. 10.1021/acs.chemrev.0c00535. [DOI] [PubMed] [Google Scholar]
  2. Li J.; Esteban-Fernández de Ávila B.; Gao W.; Zhang L.; Wang J. Micro/Nanorobots for Biomedicine: Delivery, Surgery, Sensing, and Detoxification. Sci. Robot. 2017, 2, eaam6431 10.1126/scirobotics.aam6431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Li T.; Li J.; Morozov K. I.; Wu Z.; Xu T.; Rozen I.; Leshansky A. M.; Li L.; Wang J. Highly Efficient Freestyle Magnetic Nanoswimmer. Nano Lett. 2017, 17, 5092–5098. 10.1021/acs.nanolett.7b02383. [DOI] [PubMed] [Google Scholar]
  4. Yan X.; Zhou Q.; Yu J.; Xu T.; Deng Y.; Tang T.; Feng Q.; Bian L.; Zhang Y.; Ferreira A.; et al. Magnetite Nanostructured Porous Hollow Helical Microswimmers for Targeted Delivery. Adv. Funct. Mater. 2015, 25, 5333–5342. 10.1002/adfm.201502248. [DOI] [Google Scholar]
  5. Ying Y.; Pourrahimi A. M.; Sofer Z.; Matejková S.; Pumera M. Radioactive Uranium Preconcentration via Self-Propelled Autonomous Microrobots Based on Metal-Organic Frameworks. ACS Nano 2019, 13, 11477–11487. 10.1021/acsnano.9b04960. [DOI] [PubMed] [Google Scholar]
  6. Mou F.; Chen C.; Ma H.; Yin Y.; Wu Q.; Guan J. Self-Propelled Micromotors Driven by the Magnesium-Water Reaction and Their Hemolytic Properties. Angew. Chem., Int. Ed. 2013, 52, 7208–7212. 10.1002/anie.201300913. [DOI] [PubMed] [Google Scholar]
  7. Orozco J.; Jurado-Sánchez B.; Wagner G.; Gao W.; Vazquez-Duhalt R.; Sattayasamitsathit S.; Galarnyk M.; Cortés A.; Saintillan D.; Wang J. Bubble-Propelled Micromotors for Enhanced Transport of Passive Tracers. Langmuir 2014, 30, 5082–5087. 10.1021/la500819r. [DOI] [PubMed] [Google Scholar]
  8. Wang H.; Zhao G.; Pumera M. Beyond Platinum: Bubble-Propelled Micromotors Based on Ag and MnO2 Catalysts. J. Am. Chem. Soc. 2014, 136, 2719–2722. 10.1021/ja411705d. [DOI] [PubMed] [Google Scholar]
  9. Patiño T.; Arqué X.; Mestre R.; Palacios L.; Sánchez S. Fundamental Aspects of Enzyme-Powered Micro- and Nanoswimmers. Acc. Chem. Res. 2018, 51, 2662–2671. 10.1021/acs.accounts.8b00288. [DOI] [PubMed] [Google Scholar]
  10. Kong L.; Rosli N. F.; Chia H. L.; Guan J.; Pumera M. Self-Propelled Autonomous Mg/Pt Janus Micromotor Interaction with Human Cells. Bull. Chem. Soc. Jpn. 2019, 92, 1754–1758. 10.1246/bcsj.20190104. [DOI] [Google Scholar]
  11. Wang B.; Ji F.; Yu J.; Yang L.; Wang Q.; Zhang L. Bubble-Assisted Three-Dimensional Ensemble of Nanomotors for Improved Catalytic Performance. iScience 2019, 19, 760–771. 10.1016/j.isci.2019.08.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Ma W.; Wang H. Magnetically Driven Motile Superhydrophobic Sponges for Efficient Oil Removal. Appl. Mater. Today 2019, 15, 263–266. 10.1016/j.apmt.2019.02.004. [DOI] [Google Scholar]
  13. Dong M.; Wang X.; Chen X.-Z.; Mushtaq F.; Deng S.; Zhu C.; Torlakcik H.; Terzopoulou A.; Qin X.-H.; Xiao X.; et al. 3D-Printed Soft Magnetoelectric Microswimmers for Delivery and Differentiation of Neuron-Like Cells. Adv. Funct. Mater. 2020, 30, 1910323. 10.1002/adfm.201910323. [DOI] [Google Scholar]
  14. Zeeshan M. A.; Pané S.; Youn S. K.; Pellicer E.; Schuerle S.; Sort J.; Fusco S.; Lindo A. M.; Park H. G.; Nelson B. J. Graphite Coating of Iron Nanowires for Nanorobotic Applications: Synthesis, Characterization and Magnetic Wireless Manipulation. Adv. Funct. Mater. 2013, 23, 823–831. 10.1002/adfm.201202046. [DOI] [Google Scholar]
  15. Ying Y.; Pourrahimi A. M.; Manzanares-Palenzuela C. L.; Novotny F.; Sofer Z.; Pumera M. Light-Driven ZnO Brush-Shaped Self-Propelled Micromachines for Nitroaromatic Explosives Decomposition. Small 2020, 16, 1902944. 10.1002/smll.201902944. [DOI] [PubMed] [Google Scholar]
  16. Pourrahimi A. M.; Villa K.; Ying Y.; Sofer Z.; Pumera M. ZnO/ZnO2/Pt Janus Micromotors Propulsion Mode Changes with Size and Interface Structure: Enhanced Nitroaromatic Explosives Degradation under Visible Light. ACS Appl. Mater. Interfaces 2018, 10, 42688–42697. 10.1021/acsami.8b16217. [DOI] [PubMed] [Google Scholar]
  17. Wang J.; Xiong Z.; Zheng J.; Zhan X.; Tang J. Light-Driven Micro/Nanomotor for Promising Biomedical Tools: Principle, Challenge, and Prospect. Acc. Chem. Res. 2018, 51, 1957–1965. 10.1021/acs.accounts.8b00254. [DOI] [PubMed] [Google Scholar]
  18. Pourrahimi A. M.; Villa K.; Manzanares Palenzuela C. L.; Ying Y.; Sofer Z.; Pumera M. Catalytic and Light-Driven ZnO/Pt Janus Nano/Micromotors: Switching of Motion Mechanism via Interface Roughness and Defect Tailoring at the Nanoscale. Adv. Funct. Mater. 2019, 29, 1808678. 10.1002/adfm.201808678. [DOI] [Google Scholar]
  19. Nocentini S.; Parmeggiani C.; Martella D.; Wiersma D. S. Optically Driven Soft Micro Robotics. Adv. Opt. Mater. 2018, 6, 1800207. 10.1002/adom.201800207. [DOI] [Google Scholar]
  20. Palagi S.; Singh D. P.; Fischer P. Light-Controlled Micromotors and Soft Microrobots. Adv. Opt. Mater. 2019, 7, 1900370. 10.1002/adom.201900370. [DOI] [Google Scholar]
  21. Sridhar V.; Podjaski F.; Kröger J.; Jiménez-Solano A.; Park B.-W.; Lotsch B. V.; Sitti M. Carbon Nitride-Based Light-Driven Microswimmers with Intrinsic Photocharging Ability. Proc. Natl. Acad. Sci. U. S. A. 2020, 117, 24748. 10.1073/pnas.2007362117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Aghakhani A.; Yasa O.; Wrede P.; Sitti M. Acoustically Powered Surface-Slipping Mobile Microrobots. Proc. Natl. Acad. Sci. U. S. A. 2020, 117, 3469. 10.1073/pnas.1920099117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Ren L.; Nama N.; McNeill J. M.; Soto F.; Yan Z.; Liu W.; Wang W.; Wang J.; Mallouk T. E. 3D Steerable, Acoustically Powered Microswimmers for Single-Particle Manipulation. Sci. Adv. 2019, 5, eaax3084 10.1126/sciadv.aax3084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Esteban-Fernández de Ávila B.; Angsantikul P.; Ramírez-Herrera D. E.; Soto F.; Teymourian H.; Dehaini D.; Chen Y.; Zhang L.; Wang J. Hybrid Biomembrane-Functionalized Nanorobots for Concurrent Removal of Pathogenic Bacteria and Toxins. Sci. Robot. 2018, 3, eaat0485 10.1126/scirobotics.aat0485. [DOI] [PubMed] [Google Scholar]
  25. Xu T.; Xu L.-P.; Zhang X. Ultrasound Propulsion of Micro-/Nanomotors. Appl. Mater. Today 2017, 9, 493–503. 10.1016/j.apmt.2017.07.011. [DOI] [Google Scholar]
  26. Loget G.; Kuhn A. Electric Field-Induced Chemical Locomotion of Conducting Objects. Nat. Commun. 2011, 2, 535. 10.1038/ncomms1550. [DOI] [PubMed] [Google Scholar]
  27. Chang S. T.; Paunov V. N.; Petsev D. N.; Velev O. D. Remotely Powered Self-Propelling Particles and Micropumps Based on Miniature Diodes. Nat. Mater. 2007, 6, 235–240. 10.1038/nmat1843. [DOI] [PubMed] [Google Scholar]
  28. Calvo-Marzal P.; Sattayasamitsathit S.; Balasubramanian S.; Windmiller J. R.; Dao C.; Wang J. Propulsion of Nanowire Diodes. Chem. Commun. 2010, 46, 1623–1624. 10.1039/b925568k. [DOI] [PubMed] [Google Scholar]
  29. Erkoc P.; Yasa I. C.; Ceylan H.; Yasa O.; Alapan Y.; Sitti M. Mobile Microrobots for Active Therapeutic Delivery. Adv. Ther. 2019, 2, 1800064. 10.1002/adtp.201800064. [DOI] [Google Scholar]
  30. Singh A. V.; Ansari M. H.; Mahajan M.; Srivastava S.; Kashyap S.; Dwivedi P.; Pandit V.; Katha U. Sperm Cell Driven Microrobots - Emerging Opportunities and Challenges for Biologically Inspired Robotic Design. Micromachines 2020, 11, 448. 10.3390/mi11040448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Xu H.; Medina-Sánchez M.; Magdanz V.; Schwarz L.; Hebenstreit F.; Schmidt O. G. Sperm-Hybrid Micromotor for Targeted Drug Delivery. ACS Nano 2018, 12, 327–337. 10.1021/acsnano.7b06398. [DOI] [PubMed] [Google Scholar]
  32. Vizsnyiczai G.; Frangipane G.; Maggi C.; Saglimbeni F.; Bianchi S.; Di Leonardo R. Light Controlled 3D Micromotors Powered by Bacteria. Nat. Commun. 2017, 8, 15974. 10.1038/ncomms15974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Alapan Y.; Yasa O.; Yigit B.; Yasa I. C.; Erkoc P.; Sitti M. Microrobotics and Microorganisms: Biohybrid Autonomous Cellular Robots. Annu. Rev. Control, Robot. and Autonom. Syst. 2019, 2, 205–230. 10.1146/annurev-control-053018-023803. [DOI] [Google Scholar]
  34. Zhuang J.; Park B.-W.; Sitti M. Propulsion and Chemotaxis in Bacteria-Driven Microswimmers. Adv. Sci. 2017, 4, 1700109. 10.1002/advs.201700109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Mostaghaci B.; Yasa O.; Zhuang J.; Sitti M. Bioadhesive Bacterial Microswimmers for Targeted Drug Delivery in the Urinary and Gastrointestinal Tracts. Adv. Sci. 2017, 4, 1700058. 10.1002/advs.201700058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Singh A. V.; Sitti M. Patterned and Specific Attachment of Bacteria on Biohybrid Bacteria-Driven Microswimmers. Adv. Healthcare Mater. 2016, 5, 2325–2331. 10.1002/adhm.201600155. [DOI] [PubMed] [Google Scholar]
  37. Zhuang J.; Wright Carlsen R.; Sitti M. pH-Taxis of Biohybrid Microsystems. Sci. Rep. 2015, 5, 11403. 10.1038/srep11403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Jia H.; Mailand E.; Zhou J.; Huang Z.; Dietler G.; Kolinski J. M.; Wang X.; Sakar M. S. Universal Soft Robotic Microgripper. Small 2019, 15, 1803870. 10.1002/smll.201803870. [DOI] [PubMed] [Google Scholar]
  39. Breger J. C.; Yoon C.; Xiao R.; Kwag H. R.; Wang M. O.; Fisher J. P.; Nguyen T. D.; Gracias D. H. Self-Folding Thermo-Magnetically Responsive Soft Microgrippers. ACS Appl. Mater. Interfaces 2015, 7, 3398–3405. 10.1021/am508621s. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Leong T. G.; Randall C. L.; Benson B. R.; Bassik N.; Stern G. M.; Gracias D. H. Tetherless Thermobiochemically Actuated Microgrippers. Proc. Natl. Acad. Sci. U. S. A. 2009, 106, 703. 10.1073/pnas.0807698106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Xi W.; Solovev A. A.; Ananth A. N.; Gracias D. H.; Sanchez S.; Schmidt O. G. Rolled-up Magnetic Microdrillers: Towards Remotely Controlled Minimally Invasive Surgery. Nanoscale 2013, 5, 1294–1297. 10.1039/C2NR32798H. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Parmar J.; Vilela D.; Pellicer E.; Esqué-De los Ojos D.; Sort J.; Sánchez S. Reusable and Long-Lasting Active Microcleaners for Heterogeneous Water Remediation. Adv. Funct. Mater. 2016, 26, 4152–4161. 10.1002/adfm.201600381. [DOI] [Google Scholar]
  43. Mushtaq F.; Chen X.; Staufert S.; Torlakcik H.; Wang X.; Hoop M.; Gerber A.; Li X.; Cai J.; Nelson B. J.; et al. On-the-Fly Catalytic Degradation of Organic Pollutants Using Magneto-Photoresponsive Bacteria-Templated Microcleaners. J. Mater. Chem. A 2019, 7, 24847–24856. 10.1039/C9TA06290D. [DOI] [Google Scholar]
  44. Srivastava S. K.; Medina-Sánchez M.; Schmidt O. G. Autonomously Propelled Microscavengers for Precious Metal Recovery. Chem. Commun. 2017, 53, 8140–8143. 10.1039/C7CC02605F. [DOI] [PubMed] [Google Scholar]
  45. Li J.; Pumera M. 3D Printing of Functional Microrobots. Chem. Soc. Rev. 2021, 50, 2794. 10.1039/D0CS01062F. [DOI] [PubMed] [Google Scholar]
  46. Mirkovic T.; Zacharia N. S.; Scholes G. D.; Ozin G. A. Fuel for Thought: Chemically Powered Nanomotors Out-Swim Nature’s Flagellated Bacteria. ACS Nano 2010, 4, 1782–1789. 10.1021/nn100669h. [DOI] [PubMed] [Google Scholar]
  47. Sánchez S.; Soler L.; Katuri J. Chemically Powered Micro- and Nanomotors. Angew. Chem., Int. Ed. 2015, 54, 1414–1444. 10.1002/anie.201406096. [DOI] [PubMed] [Google Scholar]
  48. Sitti M.; Wiersma D. S. Pros and Cons: Magnetic versus Optical Microrobots. Adv. Mater. 2020, 32, 1906766. 10.1002/adma.201906766. [DOI] [PubMed] [Google Scholar]
  49. Villa K.; Pumera M. Fuel-Free Light-Driven Micro/Nanomachines: Artificial Active Matter Mimicking Nature. Chem. Soc. Rev. 2019, 48, 4966–4978. 10.1039/C9CS00090A. [DOI] [PubMed] [Google Scholar]
  50. Chen X.-Z.; Jang B.; Ahmed D.; Hu C.; De Marco C.; Hoop M.; Mushtaq F.; Nelson B. J.; Pané S. Small-Scale Machines Driven by External Power Sources. Adv. Mater. 2018, 30, 1705061. 10.1002/adma.201705061. [DOI] [PubMed] [Google Scholar]
  51. Xu T.; Gao W.; Xu L.-P.; Zhang X.; Wang S. Fuel-Free Synthetic Micro-/Nanomachines. Adv. Mater. 2017, 29, 1603250. 10.1002/adma.201603250. [DOI] [PubMed] [Google Scholar]
  52. Rao K. J.; Li F.; Meng L.; Zheng H.; Cai F.; Wang W. A Force to Be Reckoned With: A Review of Synthetic Microswimmers Powered by Ultrasound. Small 2015, 11, 2836–2846. 10.1002/smll.201403621. [DOI] [PubMed] [Google Scholar]
  53. Erin O.; Boyvat M.; Tiryaki M. E.; Phelan M.; Sitti M. Magnetic Resonance Imaging System-Driven Medical Robotics. Adv. Intell. Syst. 2020, 2, 1900110. 10.1002/aisy.201900110. [DOI] [Google Scholar]
  54. Martel S. Beyond imaging: Macro- and microscale medical robots actuated by clinical MRI scanners. Sci. Robot. 2017, 2, eaam8119 10.1126/scirobotics.aam8119. [DOI] [PubMed] [Google Scholar]
  55. Wang Q.; Yang L.; Wang B.; Yu E.; Yu J.; Zhang L. Collective Behavior of Reconfigurable Magnetic Droplets via Dynamic Self-Assembly. ACS Appl. Mater. Interfaces 2019, 11, 1630–1637. 10.1021/acsami.8b17402. [DOI] [PubMed] [Google Scholar]
  56. Xie H.; Sun M.; Fan X.; Lin Z.; Chen W.; Wang L.; Dong L.; He Q. Reconfigurable Magnetic Microrobot Swarm: Multimode Transformation, Locomotion, and Manipulation. Sci. Robot. 2019, 4, eaav8006 10.1126/scirobotics.aav8006. [DOI] [PubMed] [Google Scholar]
  57. Wang H.; Pumera M. Coordinated Behaviors of Artificial Micro/Nanomachines: from Mutual Interactions to Interactions with the Environment. Chem. Soc. Rev. 2020, 49, 3211–3230. 10.1039/C9CS00877B. [DOI] [PubMed] [Google Scholar]
  58. Liu J. A. C.; Gillen J. H.; Mishra S. R.; Evans B. A.; Tracy J. B. Photothermally and Magnetically Controlled Reconfiguration of Polymer Composites for Soft Robotics. Sci. Adv. 2019, 5, eaaw2897 10.1126/sciadv.aaw2897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Hen-Wei H.; Sakar M. S.; Riederer K.; Shamsudhin N.; Petruska A.; Pané S.; Nelson B. J.. 2016 IEEE Int. Conference on Robot. Autom.; ICRA, 2016; pp 1719–1724.
  60. Huang H.-W.; Huang T.-Y.; Charilaou M.; Lyttle S.; Zhang Q.; Pané S.; Nelson B. J. Investigation of Magnetotaxis of Reconfigurable Micro-Origami Swimmers with Competitive and Cooperative Anisotropy. Adv. Funct. Mater. 2018, 28, 1802110. 10.1002/adfm.201802110. [DOI] [Google Scholar]
  61. Kim J.; Chung S. E.; Choi S.-E.; Lee H.; Kim J.; Kwon S. Programming Magnetic Anisotropy in Polymeric Microactuators. Nat. Mater. 2011, 10, 747–752. 10.1038/nmat3090. [DOI] [PubMed] [Google Scholar]
  62. Yigit B.; Alapan Y.; Sitti M. Programmable Collective Behavior in Dynamically Self-Assembled Mobile Microrobotic Swarms. Adv. Sci. 2019, 6, 1801837. 10.1002/advs.201801837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Huang H.-W.; Sakar M. S.; Petruska A. J.; Pané S.; Nelson B. J. Soft Micromachines with Programmable Motility and Morphology. Nat. Commun. 2016, 7, 12263. 10.1038/ncomms12263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Cui J.; Huang T.-Y.; Luo Z.; Testa P.; Gu H.; Chen X.-Z.; Nelson B. J.; Heyderman L. J. Nanomagnetic Encoding of Shape-Morphing Micromachines. Nature 2019, 575, 164–168. 10.1038/s41586-019-1713-2. [DOI] [PubMed] [Google Scholar]
  65. Ren L.; Wang W.; Mallouk T. E. Two Forces Are Better than One: Combining Chemical and Acoustic Propulsion for Enhanced Micromotor Functionality. Acc. Chem. Res. 2018, 51, 1948–1956. 10.1021/acs.accounts.8b00248. [DOI] [PubMed] [Google Scholar]
  66. Ahmed D.; Baasch T.; Blondel N.; Läubli N.; Dual J.; Nelson B. J. Neutrophil-Inspired Propulsion in a Combined Acoustic and Magnetic Field. Nat. Commun. 2017, 8, 770. 10.1038/s41467-017-00845-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Bozuyuk U.; Yasa O.; Yasa I. C.; Ceylan H.; Kizilel S.; Sitti M. Light-Triggered Drug Release from 3D-Printed Magnetic Chitosan Microswimmers. ACS Nano 2018, 12, 9617–9625. 10.1021/acsnano.8b05997. [DOI] [PubMed] [Google Scholar]
  68. Park B.-W.; Zhuang J.; Yasa O.; Sitti M. Multifunctional Bacteria-Driven Microswimmers for Targeted Active Drug Delivery. ACS Nano 2017, 11, 8910–8923. 10.1021/acsnano.7b03207. [DOI] [PubMed] [Google Scholar]
  69. Stoddart J. F. Molecular Machines. Acc. Chem. Res. 2001, 34, 410–411. 10.1021/ar010084w. [DOI] [PubMed] [Google Scholar]
  70. Feringa B. L. In Control of Motion: From Molecular Switches to Molecular Motors. Acc. Chem. Res. 2001, 34, 504–513. 10.1021/ar0001721. [DOI] [PubMed] [Google Scholar]
  71. Collin J.-P.; Dietrich-Buchecker C.; Gaviña P.; Jimenez-Molero M. C.; Sauvage J.-P. Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals. Acc. Chem. Res. 2001, 34, 477–487. 10.1021/ar0001766. [DOI] [PubMed] [Google Scholar]
  72. Erbas-Cakmak S.; Leigh D. A.; McTernan C. T.; Nussbaumer A. L. Artificial Molecular Machines. Chem. Rev. 2015, 115, 10081–10206. 10.1021/acs.chemrev.5b00146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Ballardini R.; Balzani V.; Credi A.; Gandolfi M. T.; Venturi M. Artificial Molecular-Level Machines: Which Energy To Make Them Work?. Acc. Chem. Res. 2001, 34, 445–455. 10.1021/ar000170g. [DOI] [PubMed] [Google Scholar]
  74. Liang X.; Li L.; Tang J.; Komiyama M.; Ariga K. Dynamism of Supramolecular DNA/RNA Nanoarchitectonics: From Interlocked Structures to Molecular Machines. Bull. Chem. Soc. Jpn. 2020, 93, 581–603. 10.1246/bcsj.20200012. [DOI] [Google Scholar]
  75. Ariga K. Molecular Tuning Nanoarchitectonics for Molecular Recognition and Molecular Manipulation. ChemNanoMat 2020, 6, 870–880. 10.1002/cnma.202000137. [DOI] [Google Scholar]
  76. Ariga K.; Li J.; Fei J.; Ji Q.; Hill J. P. Nanoarchitectonics for Dynamic Functional Materials from Atomic-/Molecular-Level Manipulation to Macroscopic Action. Adv. Mater. 2016, 28, 1251–1286. 10.1002/adma.201502545. [DOI] [PubMed] [Google Scholar]
  77. Nawa-Okita E.; Nakao Y.; Yamamoto D.; Shioi A. A Molecular Assembly Machine Working under a Quasi-Steady State pH Gradient. Bull. Chem. Soc. Jpn. 2020, 93, 604–610. 10.1246/bcsj.20190348. [DOI] [Google Scholar]
  78. Lancia F.; Ryabchun A.; Katsonis N. Life-like motion driven by artificial molecular machines. Nat. Rev. Chem. 2019, 3, 536–551. 10.1038/s41570-019-0122-2. [DOI] [Google Scholar]
  79. Pezzato C.; Cheng C.; Stoddart J. F.; Astumian R. D. Mastering the non-equilibrium assembly and operation of molecular machines. Chem. Soc. Rev. 2017, 46, 5491–5507. 10.1039/C7CS00068E. [DOI] [PubMed] [Google Scholar]
  80. Ellis E.; Moorthy S.; Chio W.-I. K.; Lee T.-C. Artificial molecular and nanostructures for advanced nanomachinery. Chem. Commun. 2018, 54, 4075–4090. 10.1039/C7CC09133H. [DOI] [PubMed] [Google Scholar]
  81. Ricotti L.; Trimmer B.; Feinberg A. W.; Raman R.; Parker K. K.; Bashir R.; Sitti M.; Martel S.; Dario P.; Menciassi A. Biohybrid Actuators for Robotics: A Review of Devices Actuated by Living Cells. Sci. Robot. 2017, 2, eaaq0495 10.1126/scirobotics.aaq0495. [DOI] [PubMed] [Google Scholar]
  82. Novotný F.; Wang H.; Pumera M. Nanorobots: Machines Squeezed between Molecular Motors and Micromotors. Chem. 2020, 6, 867–884. 10.1016/j.chempr.2019.12.028. [DOI] [Google Scholar]
  83. Wu Z.; Li L.; Yang Y.; Hu P.; Li Y.; Yang S.-Y.; Wang L. V.; Gao W. A Microrobotic System Guided by Photoacoustic Computed Tomography for Targeted Navigation in Intestines in Vivo. Sci. Robot. 2019, 4, eaax0613 10.1126/scirobotics.aax0613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Wu Z.; Chen Y.; Mukasa D.; Pak O. S.; Gao W. Medical micro/nanorobots in complex media. Chem. Soc. Rev. 2020, 49, 8088–8112. 10.1039/D0CS00309C. [DOI] [PubMed] [Google Scholar]
  85. Soto F.; Wang J.; Ahmed R.; Demirci U. Medical Micro/Nanorobots in Precision Medicine. Adv. Sci. 2020, 7, 2002203. 10.1002/advs.202002203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Peng F.; Tu Y.; Wilson D. A. Micro/nanomotors towards in vivo application: cell, tissue and biofluid. Chem. Soc. Rev. 2017, 46, 5289–5310. 10.1039/C6CS00885B. [DOI] [PubMed] [Google Scholar]
  87. Yigit B.; Alapan Y.; Sitti M. Cohesive Self-Organization of Mobile Microrobotic Swarms. Soft Matter 2020, 16, 1996–2004. 10.1039/C9SM01284B. [DOI] [PubMed] [Google Scholar]
  88. Wang Q.; Zhang L. External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery. ACS Nano 2021, 15, 149–174. 10.1021/acsnano.0c07753. [DOI] [PubMed] [Google Scholar]
  89. Wang Q.; Zhang L. Ultrasound Imaging and Tracking of Micro/Nanorobots: From Individual to Collectives. IEEE Open J. Nanotechnol. 2020, 1, 6–17. 10.1109/OJNANO.2020.2981824. [DOI] [Google Scholar]
  90. Shields C. W.; Velev O. D. The Evolution of Active Particles: Toward Externally Powered Self-Propelling and Self-Reconfiguring Particle Systems. Chem. 2017, 3, 539–559. 10.1016/j.chempr.2017.09.006. [DOI] [Google Scholar]
  91. Yánez-Sedeño P.; Campuzano S.; Pingarrón J. M. Janus Particles for (Bio)Sensing. Appl. Mater. Today 2017, 9, 276–288. 10.1016/j.apmt.2017.08.004. [DOI] [Google Scholar]
  92. Xu B.; Zhang B.; Wang L.; Huang G.; Mei Y. Tubular Micro/Nanomachines: From the Basics to Recent Advances. Adv. Funct. Mater. 2018, 28, 1705872. 10.1002/adfm.201705872. [DOI] [Google Scholar]
  93. Bente K.; Codutti A.; Bachmann F.; Faivre D. Biohybrid and Bioinspired Magnetic Microswimmers. Small 2018, 14, 1704374. 10.1002/smll.201704374. [DOI] [PubMed] [Google Scholar]
  94. Chen X.-Z.; Hoop M.; Mushtaq F.; Siringil E.; Hu C.; Nelson B. J.; Pané S. Recent Developments in Magnetically Driven Micro- and Nanorobots. Appl. Mater. Today 2017, 9, 37–48. 10.1016/j.apmt.2017.04.006. [DOI] [Google Scholar]
  95. Reinišová L.; Hermanová S.; Pumera M. Micro/Nanomachines: What is Needed for them to Become a Real Force in Cancer Therapy?. Nanoscale 2019, 11, 6519–6532. 10.1039/C8NR08022D. [DOI] [PubMed] [Google Scholar]
  96. Yu J.; Xu T.; Lu Z.; Vong C. I.; Zhang L. On-Demand Disassembly of Paramagnetic Nanoparticle Chains for Microrobotic Cargo Delivery. IEEE Trans. Robot. 2017, 33, 1213–1225. 10.1109/TRO.2017.2693999. [DOI] [Google Scholar]
  97. Jang B.; Gutman E.; Stucki N.; Seitz B. F.; Wendel-García P. D.; Newton T.; Pokki J.; Ergeneman O.; Pané S.; Or Y.; et al. Undulatory Locomotion of Magnetic Multilink Nanoswimmers. Nano Lett. 2015, 15, 4829–4833. 10.1021/acs.nanolett.5b01981. [DOI] [PubMed] [Google Scholar]
  98. Jiles D.Introduction to Magnetism and Magnetic Materials; CRC Press, 2015. [Google Scholar]
  99. Spaldin N. A.Magnetic Materials: Fundamentals and Applications; Cambridge University Press, 2010. [Google Scholar]
  100. Rikken R. S. M.; Nolte R. J. M.; Maan J. C.; van Hest J. C. M.; Wilson D. A.; Christianen P. C. M. Manipulation of Micro- and Nanostructure Motion with Magnetic Fields. Soft Matter 2014, 10, 1295–1308. 10.1039/C3SM52294F. [DOI] [PubMed] [Google Scholar]
  101. Khalil I. S. M.; Alfar A.; Tabak A. F.; Klingner A.; Stramigioli S.; Sitti M.. 2017 IEEE Int. Conference on Adv. Intell. Mechatronics; AIM, 2017; pp 1117–1122.
  102. Mahoney A. W.; Abbott J. J. Generating Rotating Magnetic Fields With a Single Permanent Magnet for Propulsion of Untethered Magnetic Devices in a Lumen. IEEE Trans. Robot. 2014, 30, 411–420. 10.1109/TRO.2013.2289019. [DOI] [Google Scholar]
  103. Schürle S.; Kratochvil B. E.; Pané S.; Zeeshan M. A.; Nelson B. J. In Nanorobotics; Springer, 2013. [Google Scholar]
  104. Jeong S.; Choi H.; Choi J.; Yu C.; Park J.-o.; Park S. Novel Electromagnetic Actuation (EMA) Method for 3-Dimensional Locomotion of Intravascular Microrobot. Sens. Actuators, A 2010, 157, 118–125. 10.1016/j.sna.2009.11.011. [DOI] [Google Scholar]
  105. Choi H.; Cha K.; Choi J.; Jeong S.; Jeon S.; Jang G.; Park J.-o.; Park S. EMA System with Gradient and Uniform Saddle Coils for 3D Locomotion of Microrobot. Sens. Actuators, A 2010, 163, 410–417. 10.1016/j.sna.2010.08.014. [DOI] [Google Scholar]
  106. Kratochvil B. E.; Kummer M. P.; Erni S.; Borer R.; Frutiger D. R.; Schürle S.; Nelson B. J. Exp. Robot. 2014, 79, 317–329. 10.1007/978-3-642-28572-1_22. [DOI] [Google Scholar]
  107. Yang Z.; Yang L.; Zhang L. Autonomous Navigation of Magnetic Microrobots in A Large Workspace Using Mobile-Coil System. IEEE/ASME Trans. Mechatron. 2021, 1–1. 10.1109/TMECH.2021.3054927. [DOI] [Google Scholar]
  108. Yang L.; Yu E.; Vong C.; Zhang L. Discrete-Time Optimal Control of Electromagnetic Coil Systems for Generation of Dynamic Magnetic Fields With High Accuracy. IEEE/ASME Trans. Mechatron. 2019, 24, 1208–1219. 10.1109/TMECH.2019.2907656. [DOI] [Google Scholar]
  109. Du X.; Zhang M.; Yu J.; Yang L.; Chiu W. Y. P.; Zhang L. Design and Real-time Optimization for a Magnetic Actuation System with Enhanced Flexibility. IEEE/ASME Trans. Mechatron. 2020, 1–1. 10.1109/TMECH.2020.3023003. [DOI] [Google Scholar]
  110. Yang L.; Zhang L. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) 2020, 876–881. 10.1109/CASE48305.2020.9216900. [DOI] [Google Scholar]
  111. Yang Z.; Zhang L. Magnetic Actuation Systems for Miniature Robots: A Review. Adv. Intell. Syst. 2020, 2, 2000082. 10.1002/aisy.202000082. [DOI] [Google Scholar]
  112. Xu T.; Yu J.; Yan X.; Choi H.; Zhang L. Magnetic Actuation Based Motion Control for Microrobots: An Overview. Micromachines 2015, 6, 1346–1364. 10.3390/mi6091346. [DOI] [Google Scholar]
  113. Abbott J. J.; Diller E.; Petruska A. J. Magnetic Methods in Robotics. Annu. Rev. Control, Robot. Auton. Syst. 2020, 3, 57–90. 10.1146/annurev-control-081219-082713. [DOI] [Google Scholar]
  114. Jiang J.; Yang L.; Zhang L. Closed-Loop Control of a Helmholtz Coil System for Accurate Actuation of Magnetic Microrobot Swarms. IEEE Robot. Autom. Lett. 2021, 6, 827. 10.1109/LRA.2021.3052394. [DOI] [Google Scholar]
  115. Yang Z.; Yang L.; Zhang M.; Wang Q.; Yu S.; Zhang L. Magnetic Control of a Steerable Guidewire Under Ultrasound Guidance Using Mobile Electromagnets. IEEE Robot. Autom. Lett. 2021, 6, 1280. 10.1109/LRA.2021.3057295. [DOI] [Google Scholar]
  116. Yang Z.; Yang L.; Zhang M.; Wang Q.; Yu S.; Zhang L. Magnetic Control of a Steerable Guidewire Under Ultrasound Guidance Using Mobile Electromagnets. IEEE Robot. Autom. Lett. 2021, 6, 1280. 10.1109/LRA.2021.3052394. [DOI] [Google Scholar]
  117. Folio D.; Ferreira A. Two-Dimensional Robust Magnetic Resonance Navigation of a Ferromagnetic Microrobot Using Pareto Optimality. IEEE Trans. Robot. 2017, 33, 583–593. 10.1109/TRO.2016.2638446. [DOI] [Google Scholar]
  118. Kummer M. P.; Abbott J. J.; Kratochvil B. E.; Borer R.; Sengul A.; Nelson B. J. OctoMag: An Electromagnetic System for 5-DOF Wireless Micromanipulation. IEEE Trans. Robot. 2010, 26, 1006–1017. 10.1109/TRO.2010.2073030. [DOI] [Google Scholar]
  119. Lee S.; Kim J.-y.; Kim J.; Hoshiar A. K.; Park J.; Lee S.; Kim J.; Pané S.; Nelson B. J.; Choi H. A Needle-Type Microrobot for Targeted Drug Delivery by Affixing to a Microtissue. Adv. Healthcare Mater. 2020, 9, 1901697. 10.1002/adhm.201901697. [DOI] [PubMed] [Google Scholar]
  120. Ullrich F.; Bergeles C.; Pokki J.; Ergeneman O.; Erni S.; Chatzipirpiridis G.; Pané S.; Framme C.; Nelson B. J. Mobility Experiments With Microrobots for Minimally Invasive Intraocular Surgery. Invest. Ophthalmol. Visual Sci. 2013, 54, 2853–2863. 10.1167/iovs.13-11825. [DOI] [PubMed] [Google Scholar]
  121. Jeon S.; Kim S.; Ha S.; Lee S.; Kim E.; Kim S. Y.; Park S. H.; Jeon J. H.; Kim S. W.; Moon C.; et al. Magnetically Actuated Microrobots as a Platform for Stem Cell Transplantation. Sci. Robot. 2019, 4, eaav4317 10.1126/scirobotics.aav4317. [DOI] [PubMed] [Google Scholar]
  122. Han K.; Shields C. W.; Diwakar N. M.; Bharti B.; López G. P.; Velev O. D. Sequence-Encoded Colloidal Origami and Microbot Assemblies from Patchy Magnetic Cubes. Sci. Adv. 2017, 3, e1701108 10.1126/sciadv.1701108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Baraban L.; Streubel R.; Makarov D.; Han L.; Karnaushenko D.; Schmidt O. G.; Cuniberti G. Fuel-Free Locomotion of Janus Motors: Magnetically Induced Thermophoresis. ACS Nano 2013, 7, 1360–1367. 10.1021/nn305726m. [DOI] [PubMed] [Google Scholar]
  124. Yu J.; Jin D.; Chan K.-F.; Wang Q.; Yuan K.; Zhang L. Active Generation and Magnetic Actuation of Microrobotic Swarms in Bio-Fluids. Nat. Commun. 2019, 10, 5631. 10.1038/s41467-019-13576-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Yang L.; Chen X.; Wang L.; Hu Z.; Xin C.; Hippler M.; Zhu W.; Hu Y.; Li J.; Wang Y.; et al. Targeted Single-Cell Therapeutics with Magnetic Tubular Micromotor by One-Step Exposure of Structured Femtosecond Optical Vortices. Adv. Funct. Mater. 2019, 29, 1905745. 10.1002/adfm.201905745. [DOI] [Google Scholar]
  126. Wu Z.; Troll J.; Jeong H.-H.; Wei Q.; Stang M.; Ziemssen F.; Wang Z.; Dong M.; Schnichels S.; Qiu T.; et al. A Swarm of Slippery Micropropellers Penetrates the Vitreous Body of the Eye. Sci. Adv. 2018, 4, eaat4388 10.1126/sciadv.aat4388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Ceylan H.; Yasa I. C.; Yasa O.; Tabak A. F.; Giltinan J.; Sitti M. 3D-Printed Biodegradable Microswimmer for Theranostic Cargo Delivery and Release. ACS Nano 2019, 13, 3353–3362. 10.1021/acsnano.8b09233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Li T.; Li J.; Zhang H.; Chang X.; Song W.; Hu Y.; Shao G.; Sandraz E.; Zhang G.; Li L.; et al. Magnetically Propelled Fish-Like Nanoswimmers. Small 2016, 12, 6098–6105. 10.1002/smll.201601846. [DOI] [PubMed] [Google Scholar]
  129. Liu Y.; Ge D.; Cong J.; Piao H.-G.; Huang X.; Xu Y.; Lu G.; Pan L.; Liu M. Magnetically Powered Annelid-Worm-Like Microswimmers. Small 2018, 14, 1704546. 10.1002/smll.201704546. [DOI] [PubMed] [Google Scholar]
  130. Liu L.; Liu M.; Su Y.; Dong Y.; Zhou W.; Zhang L.; Zhang H.; Dong B.; Chi L. Tadpole-like Artificial Micromotor. Nanoscale 2015, 7, 2276–2280. 10.1039/C4NR06621A. [DOI] [PubMed] [Google Scholar]
  131. Hu N.; Wang L.; Zhai W.; Sun M.; Xie H.; Wu Z.; He Q. Magnetically Actuated Rolling of Star-Shaped Hydrogel Microswimmer. Macromol. Chem. Phys. 2018, 219, 1700540. 10.1002/macp.201700540. [DOI] [Google Scholar]
  132. Vach P. J.; Fratzl P.; Klumpp S.; Faivre D. Fast Magnetic Micropropellers with Random Shapes. Nano Lett. 2015, 15, 7064–7070. 10.1021/acs.nanolett.5b03131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Morozov K. I.; Mirzae Y.; Kenneth O.; Leshansky A. M. Dynamics of Arbitrary Shaped Propellers Driven by a Rotating Magnetic Field. Phys. Rev. Fluids 2017, 2, 044202. 10.1103/PhysRevFluids.2.044202. [DOI] [Google Scholar]
  134. Martinez-Pedrero F.; Tierno P. Magnetic Propulsion of Self-Assembled Colloidal Carpets: Efficient Cargo Transport via a Conveyor-Belt Effect. Phys. Rev. Appl. 2015, 3, 051003. 10.1103/PhysRevApplied.3.051003. [DOI] [Google Scholar]
  135. Esteban-Fernández de Ávila B.; Gao W.; Karshalev E.; Zhang L.; Wang J. Cell-like Micromotors. Acc. Chem. Res. 2018, 51, 1901–1910. 10.1021/acs.accounts.8b00202. [DOI] [PubMed] [Google Scholar]
  136. Brumley D. R.; Wan K. Y.; Polin M.; Goldstein R. E. Flagellar Synchronization through Direct Hydrodynamic Interactions. eLife 2014, 3, e02750 10.7554/eLife.02750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Liao P.; Xing L.; Zhang S.; Sun D. Magnetically Driven Undulatory Microswimmers Integrating Multiple Rigid Segments. Small 2019, 15, 1901197. 10.1002/smll.201901197. [DOI] [PubMed] [Google Scholar]
  138. Kim S.; Lee S.; Lee J.; Nelson B. J.; Zhang L.; Choi H. Fabrication and Manipulation of Ciliary Microrobots with Non-reciprocal Magnetic Actuation. Sci. Rep. 2016, 6, 30713. 10.1038/srep30713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Qiu T.; Lee T.-C.; Mark A. G.; Morozov K. I.; Münster R.; Mierka O.; Turek S.; Leshansky A. M.; Fischer P. Swimming by Reciprocal Motion at Low Reynolds Number. Nat. Commun. 2014, 5, 5119. 10.1038/ncomms6119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Purcell E. M. Life at Low Reynolds Number. Am. J. Phys. 1977, 45, 3–11. 10.1119/1.10903. [DOI] [Google Scholar]
  141. Vach P. J.; Faivre D. The Triathlon of Magnetic Actuation: Rolling, Propelling, Swimming with a Single Magnetic Material. Sci. Rep. 2015, 5, 9364. 10.1038/srep09364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Zhang L.; Abbott J. J.; Dong L.; Kratochvil B. E.; Bell D.; Nelson B. J. Artificial Bacterial Flagella: Fabrication and Magnetic Control. Appl. Phys. Lett. 2009, 94, 064107. 10.1063/1.3079655. [DOI] [Google Scholar]
  143. Sitti M. Voyage of the Microrobots. Nature 2009, 458, 1121–1122. 10.1038/4581121a. [DOI] [PubMed] [Google Scholar]
  144. Zhang L.; Peyer K. E.; Nelson B. J. Artificial Bacterial Flagella for Micromanipulation. Lab Chip 2010, 10, 2203–2215. 10.1039/c004450b. [DOI] [PubMed] [Google Scholar]
  145. Abbott J. J.; Peyer K. E.; Lagomarsino M. C.; Zhang L.; Dong L.; Kaliakatsos I. K.; Nelson B. J. How Should Microrobots Swim?. Int. J. Robot. Res. 2009, 28, 1434–1447. 10.1177/0278364909341658. [DOI] [Google Scholar]
  146. Peyer K. E.; Zhang L.; Nelson B. J. Bio-Inspired Magnetic Swimming Microrobots for Biomedical Applications. Nanoscale 2013, 5, 1259–1272. 10.1039/C2NR32554C. [DOI] [PubMed] [Google Scholar]
  147. Peyer K. E.; Tottori S.; Qiu F.; Zhang L.; Nelson B. J. Magnetic Helical Micromachines. Chem. - Eur. J. 2013, 19, 28–38. 10.1002/chem.201203364. [DOI] [PubMed] [Google Scholar]
  148. Chatzipirpiridis G.; de Marco C.; Pellicer E.; Ergeneman O.; Sort J.; Nelson B. J.; Pané S. Template-Assisted Electroforming of Fully Semi-Hard-Magnetic Helical Microactuators. Adv. Eng. Mater. 2018, 20, 1800179. 10.1002/adem.201800179. [DOI] [Google Scholar]
  149. Ye C.; Liu J.; Wu X.; Wang B.; Zhang L.; Zheng Y.; Xu T. Hydrophobicity Influence on Swimming Performance of Magnetically Driven Miniature Helical Swimmers. Micromachines 2019, 10, 175. 10.3390/mi10030175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Xu T.; Vong C.; Wang B.; Liu L.; Wu X.; Zhang L. 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2016, 502–507. 10.1109/BIOROB.2016.7523676. [DOI] [Google Scholar]
  151. Xu T.; Yu J.; Vong C.-I.; Wang B.; Wu X.; Zhang L. Dynamic Morphology and Swimming Properties of Rotating Miniature Swimmers with Soft Tails. IEEE/ASME Trans. Mechatron. 2019, 24, 924–934. 10.1109/TMECH.2019.2912404. [DOI] [Google Scholar]
  152. Man Y.; Lauga E. The Wobbling-to-Swimming Transition of Rotated Helices. Phys. Fluids 2013, 25, 071904. 10.1063/1.4812637. [DOI] [Google Scholar]
  153. Ghosh A.; Paria D.; Singh H. J.; Venugopalan P. L.; Ghosh A. Dynamical Configurations and Bistability of Helical Nanostructures under External Torque. Phys. Rev. E 2012, 86, 031401. 10.1103/PhysRevE.86.031401. [DOI] [PubMed] [Google Scholar]
  154. Wang X.; Chen X.-Z.; Alcântara C. C. J.; Sevim S.; Hoop M.; Terzopoulou A.; de Marco C.; Hu C.; de Mello A. J.; Falcaro P.; et al. MOFBOTS: Metal-Organic-Framework-Based Biomedical Microrobots. Adv. Mater. 2019, 31, 1901592. 10.1002/adma.201901592. [DOI] [PubMed] [Google Scholar]
  155. Wang X.; Hu C.; Schurz L.; De Marco C.; Chen X.; Pané S.; Nelson B. J. Surface-Chemistry-Mediated Control of Individual Magnetic Helical Microswimmers in a Swarm. ACS Nano 2018, 12, 6210–6217. 10.1021/acsnano.8b02907. [DOI] [PubMed] [Google Scholar]
  156. Mandal P.; Patil G.; Kakoty H.; Ghosh A. Magnetic Active Matter Based on Helical Propulsion. Acc. Chem. Res. 2018, 51, 2689–2698. 10.1021/acs.accounts.8b00315. [DOI] [PubMed] [Google Scholar]
  157. Ghosh A.; Dasgupta D.; Pal M.; Morozov K. I.; Leshansky A. M.; Ghosh A. Helical Nanomachines as Mobile Viscometers. Adv. Funct. Mater. 2018, 28, 1705687. 10.1002/adfm.201705687. [DOI] [Google Scholar]
  158. Dreyfus R.; Baudry J.; Roper M. L.; Fermigier M.; Stone H. A.; Bibette J. Microscopic Artificial Swimmers. Nature 2005, 437, 862–865. 10.1038/nature04090. [DOI] [PubMed] [Google Scholar]
  159. Gu H.; Boehler Q.; Cui H.; Secchi E.; Savorana G.; De Marco C.; Gervasoni S.; Peyron Q.; Huang T.-Y.; Pane S.; et al. Magnetic Cilia Carpets with Programmable Metachronal Waves. Nat. Commun. 2020, 11, 2637. 10.1038/s41467-020-16458-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  160. Wang Q.; Yang L.; Yu J.; Zhang L. Characterizing Dynamic Behaviors of Three-Particle Paramagnetic Microswimmer Near a Solid Surface. Robot. Biomimetics 2017, 4, 20. 10.1186/s40638-017-0076-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  161. Youssefi O.; Diller E. In Advances in Motion Sensing and Control for Robotic Applications; Springer, 2019. [Google Scholar]
  162. Fang W.-Z.; Ham S.; Qiao R.; Tao W.-Q. Magnetic Actuation of Surface Walkers: The Effects of Confinement and Inertia. Langmuir 2020, 36, 7046–7055. 10.1021/acs.langmuir.9b03487. [DOI] [PubMed] [Google Scholar]
  163. Martinez-Pedrero F.; Navarro-Argemí E.; Ortiz-Ambriz A.; Pagonabarraga I.; Tierno P. Emergent Hydrodynamic Bound States between Magnetically Powered Micropropellers. Sci. Adv. 2018, 4, eaap9379 10.1126/sciadv.aap9379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Driscoll M.; Delmotte B.; Youssef M.; Sacanna S.; Donev A.; Chaikin P. Unstable Fronts and Motile Structures Formed by Microrollers. Nat. Phys. 2017, 13, 375–379. 10.1038/nphys3970. [DOI] [Google Scholar]
  165. Jang B.; Hong A.; Alcantara C.; Chatzipirpiridis G.; Martí X.; Pellicer E.; Sort J.; Harduf Y.; Or Y.; Nelson B. J.; et al. Programmable Locomotion Mechanisms of Nanowires with Semihard Magnetic Properties Near a Surface Boundary. ACS Appl. Mater. Interfaces 2019, 11, 3214–3223. 10.1021/acsami.8b16907. [DOI] [PubMed] [Google Scholar]
  166. Yu J.; Wang B.; Du X.; Wang Q.; Zhang L. Ultra-Extensible Ribbon-like Magnetic Microswarm. Nat. Commun. 2018, 9, 3260. 10.1038/s41467-018-05749-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Mair L. O.; Evans B. A.; Nacev A.; Stepanov P. Y.; Hilaman R.; Chowdhury S.; Jafari S.; Wang W.; Shapiro B.; Weinberg I. N. Magnetic Microkayaks: Propulsion of Microrods Precessing near a Surface by Kilohertz Frequency, Rotating Magnetic Fields. Nanoscale 2017, 9, 3375–3381. 10.1039/C6NR09459G. [DOI] [PubMed] [Google Scholar]
  168. Yang T.; Tomaka A.; Tasci T. O.; Neeves K. B.; Wu N.; Marr D. W. M. Microwheels on Microroads: Enhanced Translation on Topographic Surfaces. Sci. Robot. 2019, 4, eaaw9525 10.1126/scirobotics.aaw9525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Lin Z.; Fan X.; Sun M.; Gao C.; He Q.; Xie H. Magnetically Actuated Peanut Colloid Motors for Cell Manipulation and Patterning. ACS Nano 2018, 12, 2539–2545. 10.1021/acsnano.7b08344. [DOI] [PubMed] [Google Scholar]
  170. Wang Q.; Yu J.; Yuan K.; Yang L.; Jin D.; Zhang L. Disassembly and Spreading of Magnetic Nanoparticle Clusters on Uneven Surfaces. Appl. Mater. Today 2020, 18, 100489. 10.1016/j.apmt.2019.100489. [DOI] [Google Scholar]
  171. Li T.; Zhang A.; Shao G.; Wei M.; Guo B.; Zhang G.; Li L.; Wang W. Janus Microdimer Surface Walkers Propelled by Oscillating Magnetic Fields. Adv. Funct. Mater. 2018, 28, 1706066. 10.1002/adfm.201706066. [DOI] [Google Scholar]
  172. Vyskočil J.; Mayorga-Martinez C. C.; Jablonská E.; Novotný F.; Ruml T.; Pumera M. Cancer Cells Microsurgery via Asymmetric Bent Surface Au/Ag/Ni Microrobotic Scalpels Through a Transversal Rotating Magnetic Field. ACS Nano 2020, 14, 8247–8256. 10.1021/acsnano.0c01705. [DOI] [PubMed] [Google Scholar]
  173. Mushtaq F.; Asani A.; Hoop M.; Chen X.-Z.; Ahmed D.; Nelson B. J.; Pané S. Highly Efficient Coaxial TiO2-PtPd Tubular Nanomachines for Photocatalytic Water Purification with Multiple Locomotion Strategies. Adv. Funct. Mater. 2016, 26, 6995–7002. 10.1002/adfm.201602315. [DOI] [Google Scholar]
  174. Sridhar V.; Park B.-W.; Guo S.; van Aken P. A.; Sitti M. Multiwavelength-Steerable Visible-Light-Driven Magnetic CoO-TiO2 Microswimmers. ACS Appl. Mater. Interfaces 2020, 12, 24149–24155. 10.1021/acsami.0c06100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Luo M.; Li S.; Wan J.; Yang C.; Chen B.; Guan J.. Enhanced Propulsion of Urease-Powered Micromotors by Multilayered Assembly of Ureases on Janus Magnetic Microparticles. Langmuir 2020. 10.1021/acs.langmuir.9b03315 [DOI] [PubMed] [Google Scholar]
  176. Xu H.; Medina-Sánchez M.; Maitz M. F.; Werner C.; Schmidt O. G. Sperm Micromotors for Cargo Delivery through Flowing Blood. ACS Nano 2020, 14, 2982–2993. 10.1021/acsnano.9b07851. [DOI] [PubMed] [Google Scholar]
  177. Li J.; Li T.; Xu T.; Kiristi M.; Liu W.; Wu Z.; Wang J. Magneto-Acoustic Hybrid Nanomotor. Nano Lett. 2015, 15, 4814–4821. 10.1021/acs.nanolett.5b01945. [DOI] [PubMed] [Google Scholar]
  178. Chen C.; Soto F.; Karshalev E.; Li J.; Wang J. Hybrid Nanovehicles: One Machine, Two Engines. Adv. Funct. Mater. 2019, 29, 1806290. 10.1002/adfm.201806290. [DOI] [Google Scholar]
  179. Yuan K.; de la Asunción-Nadal V.; Jurado-Sánchez B.; Escarpa A. 2D Nanomaterials Wrapped Janus Micromotors with Built-in Multiengines for Bubble, Magnetic, and Light Driven Propulsion. Chem. Mater. 2020, 32, 1983–1992. 10.1021/acs.chemmater.9b04873. [DOI] [Google Scholar]
  180. Valdez-Garduño M.; Leal-Estrada M.; Oliveros-Mata E. S.; Sandoval-Bojorquez D. I.; Soto F.; Wang J.; Garcia-Gradilla V. Density Asymmetry Driven Propulsion of Ultrasound-Powered Janus Micromotors. Adv. Funct. Mater. 2020, 30, 2004043. 10.1002/adfm.202004043. [DOI] [Google Scholar]
  181. Wang B.; Chan K. F.; Yu J.; Wang Q.; Yang L.; Chiu P. W. Y.; Zhang L. Reconfigurable Swarms of Ferromagnetic Colloids for Enhanced Local Hyperthermia. Adv. Funct. Mater. 2018, 28, 1705701. 10.1002/adfm.201705701. [DOI] [Google Scholar]
  182. Januszewski A.; Stebbing J. Hyperthermia in Cancer: Is It Coming of Age?. Lancet Oncol. 2014, 15, 565–566. 10.1016/S1470-2045(14)70207-4. [DOI] [PubMed] [Google Scholar]
  183. Wang Q.; Wang B.; Yu J.; Schweizer K.; Nelson B. J.; Zhang L. 2020 IEEE International Conference on Robotics and Automation (ICRA) 2020, 10285–10291. 10.1109/ICRA40945.2020.9197432. [DOI] [Google Scholar]
  184. Tay Z. W.; Chandrasekharan P.; Chiu-Lam A.; Hensley D. W.; Dhavalikar R.; Zhou X. Y.; Yu E. Y.; Goodwill P. W.; Zheng B.; Rinaldi C.; et al. Magnetic Particle Imaging-Guided Heating in Vivo Using Gradient Fields for Arbitrary Localization of Magnetic Hyperthermia Therapy. ACS Nano 2018, 12, 3699–3713. 10.1021/acsnano.8b00893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  185. Dhar P.; Narendren S.; Gaur S. S.; Sharma S.; Kumar A.; Katiyar V. Self-Propelled Cellulose Nanocrystal Based Catalytic Nanomotors for Targeted Hyperthermia and Pollutant Remediation Applications. Int. J. Biol. Macromol. 2020, 158, 1020–1036. 10.1016/j.ijbiomac.2020.04.204. [DOI] [PubMed] [Google Scholar]
  186. Meffre A.; Mehdaoui B.; Connord V.; Carrey J.; Fazzini P. F.; Lachaize S.; Respaud M.; Chaudret B. Complex Nano-objects Displaying Both Magnetic and Catalytic Properties: A Proof of Concept for Magnetically Induced Heterogeneous Catalysis. Nano Lett. 2015, 15, 3241–3248. 10.1021/acs.nanolett.5b00446. [DOI] [PubMed] [Google Scholar]
  187. Eerenstein W.; Mathur N. D.; Scott J. F. Multiferroic and Magnetoelectric Materials. Nature 2006, 442, 759–765. 10.1038/nature05023. [DOI] [PubMed] [Google Scholar]
  188. Spaldin N. A.; Ramesh R. Advances in Magnetoelectric Multiferroics. Nat. Mater. 2019, 18, 203–212. 10.1038/s41563-018-0275-2. [DOI] [PubMed] [Google Scholar]
  189. Martins P.; Lanceros-Méndez S. Polymer-Based Magnetoelectric Materials. Adv. Funct. Mater. 2013, 23, 3371–3385. 10.1002/adfm.201202780. [DOI] [Google Scholar]
  190. Wang Y.; Hu J.; Lin Y.; Nan C.-W. Multiferroic Magnetoelectric Composite Nanostructures. NPG Asia Mater. 2010, 2, 61–68. 10.1038/asiamat.2010.32. [DOI] [Google Scholar]
  191. Guo W.; Zhang X.; Yu X.; Wang S.; Qiu J.; Tang W.; Li L.; Liu H.; Wang Z. L. Self-Powered Electrical Stimulation for Enhancing Neural Differentiation of Mesenchymal Stem Cells on Graphene-Poly(3,4-ethylenedioxythiophene) Hybrid Microfibers. ACS Nano 2016, 10, 5086–5095. 10.1021/acsnano.6b00200. [DOI] [PubMed] [Google Scholar]
  192. Hasan M.; Khatun A.; Fukuta T.; Kogure K. Noninvasive Transdermal Delivery of Liposomes by Weak Electric Current. Adv. Drug Delivery Rev. 2020, 154–155, 227–235. 10.1016/j.addr.2020.06.016. [DOI] [PubMed] [Google Scholar]
  193. Davalos R. V.; Mir L. M.; Rubinsky B. Tissue Ablation with Irreversible Electroporation. Ann. Biomed. Eng. 2005, 33, 223. 10.1007/s10439-005-8981-8. [DOI] [PubMed] [Google Scholar]
  194. Thrivikraman G.; Boda S. K.; Basu B. Unraveling the Mechanistic Effects of Electric Field Stimulation towards Directing Stem Cell Fate and Function: A Tissue Engineering Perspective. Biomaterials 2018, 150, 60–86. 10.1016/j.biomaterials.2017.10.003. [DOI] [PubMed] [Google Scholar]
  195. Kirson E. D.; Gurvich Z.; Schneiderman R.; Dekel E.; Itzhaki A.; Wasserman Y.; Schatzberger R.; Palti Y. Disruption of Cancer Cell Replication by Alternating Electric Fields. Cancer Res. 2004, 64, 3288. 10.1158/0008-5472.CAN-04-0083. [DOI] [PubMed] [Google Scholar]
  196. Sheng J.; Vannela R.; Rittmann B. E. Evaluation of Cell-Disruption Effects of Pulsed-Electric-Field Treatment of Synechocystis PCC 6803. Environ. Sci. Technol. 2011, 45, 3795–3802. 10.1021/es103339x. [DOI] [PubMed] [Google Scholar]
  197. Betal S.; Saha A. K.; Ortega E.; Dutta M.; Ramasubramanian A. K.; Bhalla A. S.; Guo R. Core-Shell Magnetoelectric Nanorobot - A Remotely Controlled Probe for Targeted Cell Manipulation. Sci. Rep. 2018, 8, 1755. 10.1038/s41598-018-20191-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  198. Chen X. Z.; Hoop M.; Shamsudhin N.; Huang T.; Özkale B.; Li Q.; Siringil E.; Mushtaq F.; Di Tizio L.; Nelson B. J.; et al. Hybrid Magnetoelectric Nanowires for Nanorobotic Applications: Fabrication, Magnetoelectric Coupling, and Magnetically Assisted in Vitro Targeted Drug Delivery. Adv. Mater. 2017, 29, 1605458. 10.1002/adma.201605458. [DOI] [PubMed] [Google Scholar]
  199. Kaushik A.; Jayant R. D.; Sagar V.; Nair M. The Potential of Magneto-Electric Nanocarriers for Drug Delivery. Expert Opin. Drug Delivery 2014, 11, 1635–1646. 10.1517/17425247.2014.933803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  200. Nair M.; Guduru R.; Liang P.; Hong J.; Sagar V.; Khizroev S. Externally Controlled on-Demand Release of Anti-HIV Drug using Magneto-Electric Nanoparticles as Carriers. Nat. Commun. 2013, 4, 1707. 10.1038/ncomms2717. [DOI] [PubMed] [Google Scholar]
  201. Nair M.; Guduru R.; Liang P.; Hong J.; Sagar V.; Khizroev S. Externally Controlled on-Demand Release of Anti-HIV Drug using Magneto-Electric Nanoparticles as Carriers. Nat. Commun. 2013, 4, 1707. 10.1021/acsnano.0c07753. [DOI] [PubMed] [Google Scholar]
  202. Ji F.; Jin D.; Wang B.; Zhang L. Light-Driven Hovering of a Magnetic Microswarm in Fluid. ACS Nano 2020, 14, 6990–6998. 10.1021/acsnano.0c01464. [DOI] [PubMed] [Google Scholar]
  203. Yang L.; Yu J.; Zhang L. Statistics-Based Automated Control for a Swarm of Paramagnetic Nanoparticles in 2-D Space. IEEE Trans. Robot. 2020, 36, 254–270. 10.1109/TRO.2019.2946724. [DOI] [Google Scholar]
  204. Nair M.; Guduru R.; Liang P.; Hong J.; Sagar V.; Khizroev S. Externally Controlled on-Demand Release of Anti-HIV Drug using Magneto-Electric Nanoparticles as Carriers. Nat. Commun. 2013, 4, 1707. 10.1146/annurev-control-032720-104318. [DOI] [PubMed] [Google Scholar]
  205. Yu J.; Yang L.; Zhang L. Pattern Generation and Motion Control of a Vortex-like Paramagnetic Nanoparticle Swarm. Int. J. Robot. Res. 2018, 37, 912–930. 10.1177/0278364918784366. [DOI] [Google Scholar]
  206. Yu J.; Jin D.; Zhang L. 2017 IEEE International Conference on Robotics and Automation (ICRA) 2017, 6594–6599. 10.1109/ICRA.2017.7989779. [DOI] [Google Scholar]
  207. Yu J.; Zhang L. 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO) 2017, 293–296. 10.1109/NANO.2017.8117390. [DOI] [Google Scholar]
  208. Yu J.; Zhang L. Reversible Swelling and Shrinking of Paramagnetic Nanoparticle Swarms in Biofluids With High Ionic Strength. IEEE/ASME Trans. Mechatron. 2019, 24, 154–163. 10.1109/TMECH.2018.2876617. [DOI] [Google Scholar]
  209. Villa K.; Krejčová L.; Novotný F.; Heger Z.; Sofer Z.; Pumera M. Cooperative Multifunctional Self-Propelled Paramagnetic Microrobots with Chemical Handles for Cell Manipulation and Drug Delivery. Adv. Funct. Mater. 2018, 28, 1804343. 10.1002/adfm.201804343. [DOI] [Google Scholar]
  210. Yang T.; Tasci T. O.; Neeves K. B.; Wu N.; Marr D. W. M. Magnetic Microlassos for Reversible Cargo Capture, Transport, and Release. Langmuir 2017, 33, 5932–5937. 10.1021/acs.langmuir.7b00357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  211. Jin D.; Yu J.; Yuan K.; Zhang L. Mimicking the Structure and Function of Ant Bridges in a Reconfigurable Microswarm for Electronic Applications. ACS Nano 2019, 13, 5999–6007. 10.1021/acsnano.9b02139. [DOI] [PubMed] [Google Scholar]
  212. Nair M.; Guduru R.; Liang P.; Hong J.; Sagar V.; Khizroev S. Externally Controlled on-Demand Release of Anti-HIV Drug using Magneto-Electric Nanoparticles as Carriers. Nat. Commun. 2013, 4, 1707. 10.1021/acsnano.0c08284. [DOI] [PubMed] [Google Scholar]
  213. Tasci T. O.; Herson P. S.; Neeves K. B.; Marr D. W. M. Surface-Enabled Propulsion and Control of Colloidal Microwheels. Nat. Commun. 2016, 7, 10225. 10.1038/ncomms10225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  214. Li J.; Li X.; Luo T.; Wang R.; Liu C.; Chen S.; Li D.; Yue J.; Cheng S.-h.; Sun D. Development of a Magnetic Microrobot for Carrying and Delivering Targeted Cells. Sci. Robot. 2018, 3, eaat8829 10.1126/scirobotics.aat8829. [DOI] [PubMed] [Google Scholar]
  215. Li J.; Angsantikul P.; Liu W.; Esteban-Fernández de Ávila B.; Chang X.; Sandraz E.; Liang Y.; Zhu S.; Zhang Y.; Chen C.; et al. Biomimetic Platelet-Camouflaged Nanorobots for Binding and Isolation of Biological Threats. Adv. Mater. 2018, 30, 1704800. 10.1002/adma.201704800. [DOI] [PubMed] [Google Scholar]
  216. Chen X.-Z.; Liu J.-H.; Dong M.; Müller L.; Chatzipirpiridis G.; Hu C.; Terzopoulou A.; Torlakcik H.; Wang X.; Mushtaq F.; et al. Magnetically Driven Piezoelectric Soft Microswimmers for Neuron-Like Cell Delivery and Neuronal Differentiation. Mater. Horiz. 2019, 6, 1512–1516. 10.1039/C9MH00279K. [DOI] [Google Scholar]
  217. Dong M.; Wang X.; Chen X.-Z.; Mushtaq F.; Deng S.; Zhu C.; Torlakcik H.; Terzopoulou A.; Qin X.-H.; Xiao X.; et al. 3D-Printed Soft Magnetoelectric Microswimmers for Delivery and Differentiation of Neuron-Like Cells. Adv. Funct. Mater. 2020, 30, 1910323. 10.1002/adfm.201910323. [DOI] [Google Scholar]
  218. Qiu F.; Fujita S.; Mhanna R.; Zhang L.; Simona B. R.; Nelson B. J. Magnetic Helical Microswimmers Functionalized with Lipoplexes for Targeted Gene Delivery. Adv. Funct. Mater. 2015, 25, 1666–1671. 10.1002/adfm.201403891. [DOI] [Google Scholar]
  219. Tottori S.; Zhang L.; Qiu F.; Krawczyk K. K.; Franco-Obregón A.; Nelson B. J. Magnetic Helical Micromachines: Fabrication, Controlled Swimming, and Cargo Transport. Adv. Mater. 2012, 24, 811–816. 10.1002/adma.201103818. [DOI] [PubMed] [Google Scholar]
  220. Tottori S.; Zhang L.; Peyer K. E.; Nelson B. J. Assembly, Disassembly, and Anomalous Propulsion of Microscopic Helices. Nano Lett. 2013, 13, 4263–4268. 10.1021/nl402031t. [DOI] [PubMed] [Google Scholar]
  221. Walker D.; Käsdorf B. T.; Jeong H.-H.; Lieleg O.; Fischer P. Enzymatically Active Biomimetic Micropropellers for the Penetration of Mucin Gels. Sci. Adv. 2015, 1, e1500501 10.1126/sciadv.1500501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  222. Tang M.-J.; Wang W.; Li Z.-L.; Liu Z.-M.; Guo Z.-Y.; Tian H.-Y.; Liu Z.; Ju X.-J.; Xie R.; Chu L.-Y. Controllable Microfluidic Fabrication of Magnetic Hybrid Microswimmers with Hollow Helical Structures. Ind. Eng. Chem. Res. 2018, 57, 9430–9438. 10.1021/acs.iecr.8b01755. [DOI] [Google Scholar]
  223. Dong Y.; Wang L.; Wang J.; Wang S.; Wang Y.; Jin D.; Chen P.; Du W.; Zhang L.; Liu B.-F. Graphene-Based Helical Micromotors Constructed by “Microscale Liquid Rope-Coil Effect” with Microfluidics. ACS Nano 2020, 14, 16600–16613. 10.1021/acsnano.0c07067. [DOI] [PubMed] [Google Scholar]
  224. Gao W.; Feng X.; Pei A.; Kane C. R.; Tam R.; Hennessy C.; Wang J. Bioinspired Helical Microswimmers Based on Vascular Plants. Nano Lett. 2014, 14, 305–310. 10.1021/nl404044d. [DOI] [PubMed] [Google Scholar]
  225. Xie L.; Pang X.; Yan X.; Dai Q.; Lin H.; Ye J.; Cheng Y.; Zhao Q.; Ma X.; Zhang X.; et al. Photoacoustic Imaging-Trackable Magnetic Microswimmers for Pathogenic Bacterial Infection Treatment. ACS Nano 2020, 14, 2880–2893. 10.1021/acsnano.9b06731. [DOI] [PubMed] [Google Scholar]
  226. Zhang L.; Abbott J. J.; Dong L.; Peyer K. E.; Kratochvil B. E.; Zhang H.; Bergeles C.; Nelson B. J. Characterizing the Swimming Properties of Artificial Bacterial Flagella. Nano Lett. 2009, 9, 3663–3667. 10.1021/nl901869j. [DOI] [PubMed] [Google Scholar]
  227. de Marco C.; Alcântara C. C. J.; Kim S.; Briatico F.; Kadioglu A.; de Bernardis G.; Chen X.; Marano C.; Nelson B. J.; Pané S. Indirect 3D and 4D Printing of Soft Robotic Microstructures. Adv. Mater. Technol. 2019, 4, 1900332. 10.1002/admt.201900332. [DOI] [Google Scholar]
  228. Li J.; Wu C.; Chu P. K.; Gelinsky M. 3D Printing of Hydrogels: Rational Design Strategies and Emerging Biomedical applications. Mater. Sci. Eng., R 2020, 140, 100543. 10.1016/j.mser.2020.100543. [DOI] [Google Scholar]
  229. Yasa I. C.; Tabak A. F.; Yasa O.; Ceylan H.; Sitti M. 3D-Printed Microrobotic Transporters with Recapitulated Stem Cell Niche for Programmable and Active Cell Delivery. Adv. Funct. Mater. 2019, 29, 1808992. 10.1002/adfm.201808992. [DOI] [Google Scholar]
  230. Suter M.; Zhang L.; Siringil E. C.; Peters C.; Luehmann T.; Ergeneman O.; Peyer K. E.; Nelson B. J.; Hierold C. Superparamagnetic Microrobots: Fabrication by Two-Photon Polymerization and Biocompatibility. Biomed. Microdevices 2013, 15, 997–1003. 10.1007/s10544-013-9791-7. [DOI] [PubMed] [Google Scholar]
  231. Zhu W.; Li J.; Leong Y. J.; Rozen I.; Qu X.; Dong R.; Wu Z.; Gao W.; Chung P. H.; Wang J.; et al. 3D-Printed Artificial Microfish. Adv. Mater. 2015, 27, 4411–4417. 10.1002/adma.201501372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  232. Ceylan H.; Yasa I. C.; Sitti M. 3D Chemical Patterning of Micromaterials for Encoded Functionality. Adv. Mater. 2017, 29, 1605072. 10.1002/adma.201605072. [DOI] [PubMed] [Google Scholar]
  233. Kim S.; Qiu F.; Kim S.; Ghanbari A.; Moon C.; Zhang L.; Nelson B. J.; Choi H. Fabrication and Characterization of Magnetic Microrobots for Three-Dimensional Cell Culture and Targeted Transportation. Adv. Mater. 2013, 25, 5863–5868. 10.1002/adma.201301484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  234. Dong M.; Wang X.; Chen X.-Z.; Mushtaq F.; Deng S.; Zhu C.; Torlakcik H.; Terzopoulou A.; Qin X.-H.; Xiao X. 3D-Printed Soft Magnetoelectric Microswimmers for Delivery and Differentiation of Neuron-Like Cells. Adv. Funct. Mater. 2020, 30, 1910323. 10.1021/acsami.0c18221. [DOI] [Google Scholar]
  235. Giltinan J.; Sridhar V.; Bozuyuk U.; Sheehan D.; Sitti M. 3D Microprinting of Iron Platinum Nanoparticle-Based Magnetic Mobile Microrobots. Adv. Intell. Syst. 2021, 3, 2000204. 10.1002/aisy.202000204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  236. Hann S. Y.; Cui H.; Nowicki M.; Zhang L. G. 4D Printing Soft Robotics for Biomedical Applications. Addit. Manuf. 2020, 36, 101567. 10.1016/j.addma.2020.101567. [DOI] [Google Scholar]
  237. Wang X.; Qin X.-H.; Hu C.; Terzopoulou A.; Chen X.-Z.; Huang T.-Y.; Maniura-Weber K.; Pané S.; Nelson B. J. 3D Printed Enzymatically Biodegradable Soft Helical Microswimmers. Adv. Funct. Mater. 2018, 28, 1804107. 10.1002/adfm.201804107. [DOI] [Google Scholar]
  238. Li J.; Sattayasamitsathit S.; Dong R.; Gao W.; Tam R.; Feng X.; Ai S.; Wang J. Template Electrosynthesis of Tailored-Made Helical Nanoswimmers. Nanoscale 2014, 6, 9415–9420. 10.1039/C3NR04760A. [DOI] [PubMed] [Google Scholar]
  239. Alcântara C. C. J.; Kim S.; Lee S.; Jang B.; Thakolkaran P.; Kim J.-Y.; Choi H.; Nelson B. J.; Pané S. 3D Fabrication of Fully Iron Magnetic Microrobots. Small 2019, 15, 1805006. 10.1002/smll.201805006. [DOI] [PubMed] [Google Scholar]
  240. Mushtaq F.; Guerrero M.; Sakar M. S.; Hoop M.; Lindo A. M.; Sort J.; Chen X.; Nelson B. J.; Pellicer E.; Pané S. Magnetically Driven Bi2O3/BiOCl-Based Hybrid Microrobots for Photocatalytic Water Remediation. J. Mater. Chem. A 2015, 3, 23670–23676. 10.1039/C5TA05825B. [DOI] [Google Scholar]
  241. Pal M.; Dasgupta D.; Somalwar N.; Vr R.; Tiwari M.; Teja D.; Narayana S. M.; Katke A.; Rs J.; Bhat R.; et al. Helical Nanobots as Mechanical Probes of Intra- and Extracellular Environments. J. Phys.: Condens. Matter 2020, 32, 224001. 10.1088/1361-648X/ab6f89. [DOI] [PubMed] [Google Scholar]
  242. Ghosh A.; Fischer P. Controlled Propulsion of Artificial Magnetic Nanostructured Propellers. Nano Lett. 2009, 9, 2243–2245. 10.1021/nl900186w. [DOI] [PubMed] [Google Scholar]
  243. Schamel D.; Mark A. G.; Gibbs J. G.; Miksch C.; Morozov K. I.; Leshansky A. M.; Fischer P. Nanopropellers and Their Actuation in Complex Viscoelastic Media. ACS Nano 2014, 8, 8794–8801. 10.1021/nn502360t. [DOI] [PubMed] [Google Scholar]
  244. Huang H. W.; Uslu F. E.; Katsamba P.; Lauga E.; Sakar M. S.; Nelson B. J. Adaptive Locomotion of Artificial Microswimmers. Sci. Adv. 2019, 5, eaau1532 10.1126/sciadv.aau1532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  245. Yoshida K.; Onoe H. Functionalized Core-Shell Hydrogel Microsprings by Anisotropic Gelation with Bevel-Tip Capillary. Sci. Rep. 2017, 7, 45987. 10.1038/srep45987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  246. Yan X.; Xu J.; Zhou Q.; Jin D.; Vong C. I.; Feng Q.; Ng D. H. L.; Bian L.; Zhang L. Molecular Cargo Delivery using Multicellular Magnetic Microswimmers. Appl. Mater. Today 2019, 15, 242–251. 10.1016/j.apmt.2019.02.006. [DOI] [Google Scholar]
  247. Medina-Sánchez M.; Schwarz L.; Meyer A. K.; Hebenstreit F.; Schmidt O. G. Cellular Cargo Delivery: Toward Assisted Fertilization by Sperm-Carrying Micromotors. Nano Lett. 2016, 16, 555–561. 10.1021/acs.nanolett.5b04221. [DOI] [PubMed] [Google Scholar]
  248. Yan X.; Zhou Q.; Vincent M.; Deng Y.; Yu J.; Xu J.; Xu T.; Tang T.; Bian L.; Wang Y.-X. J.; et al. Multifunctional Biohybrid Magnetite Microrobots for Imaging-Guided Therapy. Sci. Robot. 2017, 2, eaaq1155 10.1126/scirobotics.aaq1155. [DOI] [PubMed] [Google Scholar]
  249. Dong L.; Zhang L.; Bell D. J.; Nelson B. J.; Grutzmacher D. Hybrid nanorobotic approaches for fabricating NEMS from 3D helical nanostructures. Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. 2006, 1396–1401. 10.1109/ROBOT.2006.1641904. [DOI] [Google Scholar]
  250. Venugopalan P. L.; Sai R.; Chandorkar Y.; Basu B.; Shivashankar S.; Ghosh A. Conformal Cytocompatible Ferrite Coatings Facilitate the Realization of a Nanovoyager in Human Blood. Nano Lett. 2014, 14, 1968–1975. 10.1021/nl404815q. [DOI] [PubMed] [Google Scholar]
  251. Peyer K. E.; Zhang L.; Nelson B. J. Localized Non-Contact Manipulation using Artificial Bacterial Flagella. Appl. Phys. Lett. 2011, 99, 174101. 10.1063/1.3655904. [DOI] [Google Scholar]
  252. Qiu F.; Zhang L.; Peyer K. E.; Casarosa M.; Franco-Obregón A.; Choi H.; Nelson B. J. Noncytotoxic Artificial Bacterial Flagella Fabricated from Biocompatible ORMOCOMP and Iron Coating. J. Mater. Chem. B 2014, 2, 357–362. 10.1039/C3TB20840K. [DOI] [PubMed] [Google Scholar]
  253. Peyer K. E.; Siringil E.; Zhang L.; Nelson B. J. Magnetic Polymer Composite Artificial Bacterial Flagella. Bioinspir. Biomim. 2014, 9, 046014. 10.1088/1748-3182/9/4/046014. [DOI] [PubMed] [Google Scholar]
  254. Cabanach P.; Pena-Francesch A.; Sheehan D.; Bozuyuk U.; Yasa O.; Borros S.; Sitti M. Zwitterionic 3D-Printed Non-Immunogenic Stealth Microrobots. Adv. Mater. 2020, 32, 2003013. 10.1002/adma.202003013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  255. Giltinan J.; Katsamba P.; Wang W.; Lauga E.; Sitti M. Selectively Controlled Magnetic Microrobots with Opposing Helices. Appl. Phys. Lett. 2020, 116, 134101. 10.1063/1.5143007. [DOI] [Google Scholar]
  256. Hu C.; Pané S.; Nelson B. J. Soft Micro- and Nanorobotics. Annu. Rev. Cont., Robot. Auton. Syst. 2018, 1, 53–75. 10.1146/annurev-control-060117-104947. [DOI] [Google Scholar]
  257. Field R. D.; Anandakumaran P. N.; Sia S. K. Soft Medical Microrobots: Design Components and System Integration. Appl. Phys. Rev. 2019, 6, 041305. 10.1063/1.5124007. [DOI] [Google Scholar]
  258. Qiu T.; Palagi S.; Fischer P. 3D-Printed soft microrobot for swimming in biological fluids. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2015, 4922–4925. 10.1109/EMBC.2015.7319496. [DOI] [PubMed] [Google Scholar]
  259. Sun H. C.; Liao P.; Wei T.; Zhang L.; Sun D. Magnetically Powered Biodegradable Microswimmers. Micromachines 2020, 11, 404. 10.3390/mi11040404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  260. Yang L.; Wang Q.; Vong C.; Zhang L. A Miniature Flexible-Link Magnetic Swimming Robot With Two Vibration Modes: Design, Modeling and Characterization. IEEE Robot. Autom. Lett. 2017, 2, 2024–2031. 10.1109/LRA.2017.2718104. [DOI] [Google Scholar]
  261. Harduf Y.; Jin D.; Or Y.; Zhang L. Nonlinear Parametric Excitation Effect Induces Stability Transitions in Swimming Direction of Flexible Superparamagnetic Microswimmers. Soft Robot. 2018, 5, 389–398. 10.1089/soro.2017.0093. [DOI] [PubMed] [Google Scholar]
  262. Zhang J.; Onaizah O.; Middleton K.; You L.; Diller E. Reliable Grasping of Three-Dimensional Untethered Mobile Magnetic Microgripper for Autonomous Pick-and-Place. IEEE Robot. Autom. Lett. 2017, 2, 835–840. 10.1109/LRA.2017.2657879. [DOI] [Google Scholar]
  263. Zhang J.; Diller E. Tetherless Mobile Micrograsping using a Magnetic Elastic Composite Material. Smart Mater. Struct. 2016, 25, 11LT03. 10.1088/0964-1726/25/11/11LT03. [DOI] [Google Scholar]
  264. Sun H. C.; Liao P.; Wei T.; Zhang L.; Sun D. Magnetically Powered Biodegradable Microswimmers. Micromachines 2020, 11, 404. 10.1021/acsnano.0c00381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  265. Li H.; Go G.; Ko S. Y.; Park J.-O.; Park S. Magnetic Actuated pH-Responsive Hydrogel-Based Soft Micro-Robot for Targeted Drug Delivery. Smart Mater. Struct. 2016, 25, 027001. 10.1088/0964-1726/25/2/027001. [DOI] [Google Scholar]
  266. Kobayashi K.; Yoon C.; Oh S. H.; Pagaduan J. V.; Gracias D. H. Biodegradable Thermomagnetically Responsive Soft Untethered Grippers. ACS Appl. Mater. Interfaces 2019, 11, 151–159. 10.1021/acsami.8b15646. [DOI] [PubMed] [Google Scholar]
  267. Singh A. V.; Dad Ansari M. H.; Dayan C. B.; Giltinan J.; Wang S.; Yu Y.; Kishore V.; Laux P.; Luch A.; Sitti M. Multifunctional Magnetic Hairbot for Untethered Osteogenesis, Ultrasound Contrast Imaging and Drug Delivery. Biomaterials 2019, 219, 119394. 10.1016/j.biomaterials.2019.119394. [DOI] [PubMed] [Google Scholar]
  268. Liu M.; Wang Y.; Kuai Y.; Cong J.; Xu Y.; Piao H.-G.; Pan L.; Liu Y. Magnetically Powered Shape-Transformable Liquid Metal Micromotors. Small 2019, 15, 1905446. 10.1002/smll.201905446. [DOI] [PubMed] [Google Scholar]
  269. Maier A. M.; Weig C.; Oswald P.; Frey E.; Fischer P.; Liedl T. Magnetic Propulsion of Microswimmers with DNA-Based Flagellar Bundles. Nano Lett. 2016, 16, 906–910. 10.1021/acs.nanolett.5b03716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  270. Hawkes E.; An B.; Benbernou N. M.; Tanaka H.; Kim S.; Demaine E. D.; Rus D.; Wood R. J. Programmable Matter by Folding. Proc. Natl. Acad. Sci. U. S. A. 2010, 107, 12441. 10.1073/pnas.0914069107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  271. Wood R. J. The First Takeoff of a Biologically Inspired At-Scale Robotic Insect. IEEE Trans. Robot. 2008, 24, 341–347. 10.1109/TRO.2008.916997. [DOI] [Google Scholar]
  272. Ma K. Y.; Chirarattananon P.; Fuller S. B.; Wood R. J. Controlled Flight of a Biologically Inspired, Insect-Scale Robot. Science 2013, 340, 603. 10.1126/science.1231806. [DOI] [PubMed] [Google Scholar]
  273. Novelino L. S.; Ze Q.; Wu S.; Paulino G. H.; Zhao R. Untethered Control of Functional Origami Microrobots with Distributed Actuation. Proc. Natl. Acad. Sci. U. S. A. 2020, 117, 24096. 10.1073/pnas.2013292117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  274. Rus D.; Tolley M. T. Design, Fabrication and Control of Origami Robots. Nature Reviews Materials 2018, 3, 101–112. 10.1038/s41578-018-0009-8. [DOI] [Google Scholar]
  275. Gao W.; Sattayasamitsathit S.; Manesh K. M.; Weihs D.; Wang J. Magnetically Powered Flexible Metal Nanowire Motors. J. Am. Chem. Soc. 2010, 132, 14403–14405. 10.1021/ja1072349. [DOI] [PubMed] [Google Scholar]
  276. Gao W.; Manesh K. M.; Hua J.; Sattayasamitsathit S.; Wang J. Hybrid Nanomotor: A Catalytically/Magnetically Powered Adaptive Nanowire Swimmer. Small 2011, 7, 2047–2051. 10.1002/smll.201100213. [DOI] [PubMed] [Google Scholar]
  277. Puigmartí-Luis J.; Pellicer E.; Jang B.; Chatzipirpiridis G.; Sevim S.; Chen X.-Z.; Nelson B. J.; Pané S. In Magn. Nano-and Microwires; Elsevier, 2020. [Google Scholar]
  278. Petit T.; Zhang L.; Peyer K. E.; Kratochvil B. E.; Nelson B. J. Selective Trapping and Manipulation of Microscale Objects Using Mobile Microvortices. Nano Lett. 2012, 12, 156–160. 10.1021/nl2032487. [DOI] [PubMed] [Google Scholar]
  279. Li Z.; Bai L.; Zhou C.; Yan X.; Mair L.; Zhang A.; Zhang L.; Wang W. Highly Acid-Resistant, Magnetically Steerable Acoustic Micromotors Prepared by Coating Gold Microrods with Fe3O4 Nanoparticles via pH Adjustment. Part. Part. Syst. Charact. 2017, 34, 1600277. 10.1002/ppsc.201600277. [DOI] [Google Scholar]
  280. Losic D.; Lillo M.; Losic D. Jr. Porous Alumina with Shaped Pore Geometries and Complex Pore Architectures Fabricated by Cyclic Anodization. Small 2009, 5, 1392–1397. 10.1002/smll.200801645. [DOI] [PubMed] [Google Scholar]
  281. Bai A.; Hu C.-C.; Yang Y.-F.; Lin C.-C. Pore Diameter Control of Anodic Aluminum Oxide with Ordered Array of Nanopores. Electrochim. Acta 2008, 53, 2258–2264. 10.1016/j.electacta.2007.09.039. [DOI] [Google Scholar]
  282. Zhang J.; Pané S.; Sort J.; Pellicer E. Toward Robust Segmented Nanowires: Understanding the Impact of Crystallographic Texture on the Quality of Segment Interfaces in Magnetic Metallic Nanowires. Adv. Mater. Interfaces 2016, 3, 1600336. 10.1002/admi.201600336. [DOI] [Google Scholar]
  283. Jang B.; Pellicer E.; Guerrero M.; Chen X.; Choi H.; Nelson B. J.; Sort J.; Pané S. Fabrication of Segmented Au/Co/Au Nanowires: Insights in the Quality of Co/Au Junctions. ACS Appl. Mater. Interfaces 2014, 6, 14583–14589. 10.1021/am5038998. [DOI] [PubMed] [Google Scholar]
  284. Zhang L.; Petit T.; Lu Y.; Kratochvil B. E.; Peyer K. E.; Pei R.; Lou J.; Nelson B. J. Controlled Propulsion and Cargo Transport of Rotating Nickel Nanowires near a Patterned Solid Surface. ACS Nano 2010, 4, 6228–6234. 10.1021/nn101861n. [DOI] [PubMed] [Google Scholar]
  285. Zhou Q.; Petit T.; Choi H.; Nelson B. J.; Zhang L. Dumbbell Fluidic Tweezers for Dynamical Trapping and Selective Transport of Microobjects. Adv. Funct. Mater. 2017, 27, 1604571. 10.1002/adfm.201604571. [DOI] [Google Scholar]
  286. Mushtaq F.; Torlakcik H.; Hoop M.; Jang B.; Carlson F.; Grunow T.; Läubli N.; Ferreira A.; Chen X.-Z.; Nelson B. J.; et al. Motile Piezoelectric Nanoeels for Targeted Drug Delivery. Adv. Funct. Mater. 2019, 29, 1808135. 10.1002/adfm.201808135. [DOI] [Google Scholar]
  287. Palagi S.; Fischer P. Bioinspired Microrobots. Nat. Rev. Mater. 2018, 3, 113–124. 10.1038/s41578-018-0016-9. [DOI] [Google Scholar]
  288. Sun M.; Fan X.; Meng X.; Song J.; Chen W.; Sun L.; Xie H. Magnetic Biohybrid Micromotors with High Maneuverability for Efficient Drug Loading and Targeted Drug Delivery. Nanoscale 2019, 11, 18382–18392. 10.1039/C9NR06221A. [DOI] [PubMed] [Google Scholar]
  289. Li J.; Ji F.; Ng D. H. L.; Liu J.; Bing X.; Wang P. Bioinspired Pt-free Molecularly Imprinted Hydrogel-Based Magnetic Janus Micromotors for Temperature-Responsive Recognition and Adsorption of Erythromycin in Water. Chem. Eng. J. 2019, 369, 611–620. 10.1016/j.cej.2019.03.101. [DOI] [Google Scholar]
  290. Maric T.; Nasir M. Z. M.; Rosli N. F.; Budanović M.; Webster R. D.; Cho N.-J.; Pumera M. Microrobots Derived from Variety Plant Pollen Grains for Efficient Environmental Clean Up and as an Anti-Cancer Drug Carrier. Adv. Funct. Mater. 2020, 30, 2000112. 10.1002/adfm.202000112. [DOI] [Google Scholar]
  291. Zhang Y.; Yan K.; Ji F.; Zhang L. Enhanced Removal of Toxic Heavy Metals Using Swarming Biohybrid Adsorbents. Adv. Funct. Mater. 2018, 28, 1806340. 10.1002/adfm.201806340. [DOI] [Google Scholar]
  292. Wang X.; Cai J.; Sun L.; Zhang S.; Gong D.; Li X.; Yue S.; Feng L.; Zhang D. Facile Fabrication of Magnetic Microrobots Based on Spirulina Templates for Targeted Delivery and Synergistic Chemo-Photothermal Therapy. ACS Appl. Mater. Interfaces 2019, 11, 4745–4756. 10.1021/acsami.8b15586. [DOI] [PubMed] [Google Scholar]
  293. Yasa O.; Erkoc P.; Alapan Y.; Sitti M. Microalga-Powered Microswimmers toward Active Cargo Delivery. Adv. Mater. 2018, 30, 1804130. 10.1002/adma.201804130. [DOI] [PubMed] [Google Scholar]
  294. Magdanz V.; Khalil I. S. M.; Simmchen J.; Furtado G. P.; Mohanty S.; Gebauer J.; Xu H.; Klingner A.; Aziz A.; Medina-Sánchez M.; et al. IRONSperm: Sperm-templated soft magnetic microrobots. Sci. Adv. 2020, 6, eaba5855 10.1126/sciadv.aba5855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  295. Zhang Y.; Zhang L.; Yang L.; Vong C. I.; Chan K. F.; Wu W. K. K.; Kwong T. N. Y.; Lo N. W. S.; Ip M.; Wong S. H.; et al. Real-Time Tracking of Fluorescent Magnetic Spore-Based Microrobots for Remote Detection of C. diff Toxins. Sci. Adv. 2019, 5, eaau9650 10.1126/sciadv.aau9650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  296. Wu Z.; Li J.; de Ávila B. E.-F.; Li T.; Gao W.; He Q.; Zhang L.; Wang J. Water-Powered Cell-Mimicking Janus Micromotor. Adv. Funct. Mater. 2015, 25, 7497–7501. 10.1002/adfm.201503441. [DOI] [Google Scholar]
  297. Wu Z.; Li T.; Gao W.; Xu T.; Jurado-Sánchez B.; Li J.; Gao W.; He Q.; Zhang L.; Wang J. Cell-Membrane-Coated Synthetic Nanomotors for Effective Biodetoxification. Adv. Funct. Mater. 2015, 25, 3881–3887. 10.1002/adfm.201501050. [DOI] [Google Scholar]
  298. Striggow F.; Medina-Sánchez M.; Auernhammer G. K.; Magdanz V.; Friedrich B. M.; Schmidt O. G. Sperm-Driven Micromotors Moving in Oviduct Fluid and Viscoelastic Media. Small 2020, 16, 2000213. 10.1002/smll.202000213. [DOI] [PubMed] [Google Scholar]
  299. Magdanz V.; Sanchez S.; Schmidt O. G. Development of a Sperm-Flagella Driven Micro-Bio-Robot. Adv. Mater. 2013, 25, 6581–6588. 10.1002/adma.201302544. [DOI] [PubMed] [Google Scholar]
  300. Singh A. V.; Hosseinidoust Z.; Park B.-W.; Yasa O.; Sitti M. Microemulsion-Based Soft Bacteria-Driven Microswimmers for Active Cargo Delivery. ACS Nano 2017, 11, 9759–9769. 10.1021/acsnano.7b02082. [DOI] [PubMed] [Google Scholar]
  301. Stanton M. M.; Park B.-W.; Miguel-López A.; Ma X.; Sitti M.; Sánchez S. Biohybrid Microtube Swimmers Driven by Single Captured Bacteria. Small 2017, 13, 1603679. 10.1002/smll.201603679. [DOI] [PubMed] [Google Scholar]
  302. Magdanz V.; Medina-Sánchez M.; Schwarz L.; Xu H.; Elgeti J.; Schmidt O. G. Spermatozoa as Functional Components of Robotic Microswimmers. Adv. Mater. 2017, 29, 1606301. 10.1002/adma.201606301. [DOI] [PubMed] [Google Scholar]
  303. Sun H. C.; Liao P.; Wei T.; Zhang L.; Sun D. Magnetically Powered Biodegradable Microswimmers. Micromachines 2020, 11, 404. 10.1002/adma.202004172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  304. Yasa I. C.; Ceylan H.; Bozuyuk U.; Wild A.-M.; Sitti M. Elucidating the Interaction Dynamics between Microswimmer Body and Immune System for Medical Microrobots. Sci. Robot. 2020, 5, eaaz3867 10.1126/scirobotics.aaz3867. [DOI] [PubMed] [Google Scholar]
  305. Alapan Y.; Yasa O.; Schauer O.; Giltinan J.; Tabak A. F.; Sourjik V.; Sitti M. Soft Erythrocyte-Based Bacterial Microswimmers for Cargo Delivery. Sci. Robot. 2018, 3, eaar4423 10.1126/scirobotics.aar4423. [DOI] [PubMed] [Google Scholar]
  306. Iacovacci V.; Ricotti L.; Signore G.; Vistoli F.; Sinibaldi E.; Menciassi A. 2019 International Conference on Robotics and Automation (ICRA) 2019, 2495–2501. 10.1109/ICRA.2019.8794322. [DOI] [Google Scholar]
  307. Iacovacci V.; Ricotti L.; Sinibaldi E.; Signore G.; Vistoli F.; Menciassi A. An Intravascular Magnetic Catheter Enables the Retrieval of Nanoagents from the Bloodstream. Adv. Sci. 2018, 5, 1800807. 10.1002/advs.201800807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  308. Luo M.; Feng Y.; Wang T.; Guan J. Micro-/Nanorobots at Work in Active Drug Delivery. Adv. Funct. Mater. 2018, 28, 1706100. 10.1002/adfm.201706100. [DOI] [Google Scholar]
  309. Mhanna R.; Qiu F.; Zhang L.; Ding Y.; Sugihara K.; Zenobi-Wong M.; Nelson B. J. Artificial Bacterial Flagella for Remote-Controlled Targeted Single-Cell Drug Delivery. Small 2014, 10, 1953–1957. 10.1002/smll.201303538. [DOI] [PubMed] [Google Scholar]
  310. Xu X.; Hou S.; Wattanatorn N.; Wang F.; Yang Q.; Zhao C.; Yu X.; Tseng H.-R.; Jonas S. J.; Weiss P. S. Precision-Guided Nanospears for Targeted and High-Throughput Intracellular Gene Delivery. ACS Nano 2018, 12, 4503–4511. 10.1021/acsnano.8b00763. [DOI] [PubMed] [Google Scholar]
  311. Alapan Y.; Bozuyuk U.; Erkoc P.; Karacakol A. C.; Sitti M. Multifunctional Surface Microrollers for Targeted Cargo Delivery in Physiological Blood Flow. Sci. Robot. 2020, 5, eaba5726 10.1126/scirobotics.aba5726. [DOI] [PubMed] [Google Scholar]
  312. Felfoul O.; Mohammadi M.; Taherkhani S.; de Lanauze D.; Zhong Xu Y.; Loghin D.; Essa S.; Jancik S.; Houle D.; Lafleur M.; et al. Magneto-Aerotactic Bacteria Deliver Drug-Containing Nanoliposomes to Tumour Hypoxic Regions. Nat. Nanotechnol. 2016, 11, 941–947. 10.1038/nnano.2016.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  313. Wu Z.; Esteban-Fernández de Ávila B.; Martín A.; Christianson C.; Gao W.; Thamphiwatana S. K.; Escarpa A.; He Q.; Zhang L.; Wang J. RBC Micromotors Carrying Multiple Cargos towards Potential Theranostic Applications. Nanoscale 2015, 7, 13680–13686. 10.1039/C5NR03730A. [DOI] [PubMed] [Google Scholar]
  314. Srivastava S. K.; Medina-Sánchez M.; Koch B.; Schmidt O. G. Medibots: Dual-Action Biogenic Microdaggers for Single-Cell Surgery and Drug Release. Adv. Mater. 2016, 28, 832–837. 10.1002/adma.201504327. [DOI] [PubMed] [Google Scholar]
  315. Kadiri V. M.; Bussi C.; Holle A. W.; Son K.; Kwon H.; Schütz G.; Gutierrez M. G.; Fischer P. Biocompatible Magnetic Micro- and Nanodevices: Fabrication of FePt Nanopropellers and Cell Transfection. Adv. Mater. 2020, 32, 2001114. 10.1002/adma.202001114. [DOI] [PubMed] [Google Scholar]
  316. Zong Z.; Zhou X.; Zhang L.; Tan Q.; Xiong J.; Zhang W. Magnetically Propelled Soft Micromachines with Multipatterned Fabrications. J. Micromech. Microeng. 2020, 30, 085001. 10.1088/1361-6439/ab8ebd. [DOI] [Google Scholar]
  317. Zhang L.; Petit T.; Peyer K. E.; Nelson B. J. Targeted Cargo Delivery using a Rotating Nickel Nanowire. Nanomedicine 2012, 8, 1074–1080. 10.1016/j.nano.2012.03.002. [DOI] [PubMed] [Google Scholar]
  318. Huang J.; Zhang H.; Yan X.; Zhang L. Cell Encapsulation and Magnetic Manipulation for Targeted Delivery. Nanomedicine 2016, 2, 488–489. 10.1016/j.nano.2015.12.122. [DOI] [Google Scholar]
  319. Xu H.; Medina-Sánchez M.; Schmidt O. G. Magnetic Micromotors for Multiple Motile Sperm Cells Capture, Transport, and Enzymatic Release. Angew. Chem., Int. Ed. 2020, 59, 15029–15037. 10.1002/anie.202005657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  320. Schwarz L.; Karnaushenko D. D.; Hebenstreit F.; Naumann R.; Schmidt O. G.; Medina-Sánchez M. A Rotating Spiral Micromotor for Noninvasive Zygote Transfer. Adv. Sci. 2020, 7, 2000843. 10.1002/advs.202000843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  321. Kim E.; Jeon S.; An H.-K.; Kianpour M.; Yu S.-W.; Kim J.-y.; Rah J.-C.; Choi H. A Magnetically Actuated Microrobot for Targeted Neural Cell Delivery and Selective Connection of Neural Networks. Sci. Adv. 2020, 6, eabb5696 10.1126/sciadv.abb5696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  322. Wang W.; Wu Z.; He Q. Swimming Nanorobots for Opening a Cell Membrane Mechanically. View 2020, 1, 20200005. 10.1002/VIW.20200005. [DOI] [Google Scholar]
  323. Venugopalan P. L.; Esteban-Fernández de Ávila B.; Pal M.; Ghosh A.; Wang J. Fantastic Voyage of Nanomotors into the Cell. ACS Nano 2020, 14, 9423–9439. 10.1021/acsnano.0c05217. [DOI] [PubMed] [Google Scholar]
  324. Lee S.; Lee S.; Kim S.; Yoon C.-H.; Park H.-J.; Kim J.-y.; Choi H. Fabrication and Characterization of a Magnetic Drilling Actuator for Navigation in a Three-dimensional Phantom Vascular Network. Sci. Rep. 2018, 8, 3691. 10.1038/s41598-018-22110-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  325. Martel S.; Felfoul O.; Mathieu J.-B.; Chanu A.; Tamaz S.; Mohammadi M.; Mankiewicz M.; Tabatabaei N. MRI-based Medical Nanorobotic Platform for the Control of Magnetic Nanoparticles and Flagellated Bacteria for Target Interventions in Human Capillaries. Int. J. Robot. Res. 2009, 28, 1169–1182. 10.1177/0278364908104855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  326. Kikuchi K.; Yamazaki A.; Sendoh M.; Ishiyama K.; Arai K. I. Fabrication of a Spiral Type Magnetic Micromachine for Trailing a Wire. IEEE Trans. Magn. 2005, 41, 4012–4014. 10.1109/TMAG.2005.855155. [DOI] [Google Scholar]
  327. Martel S. 2007 29th Annual International Conference of the IEEE Eng. Med. Bio. Soci. 2007, 1475–1478. 10.1109/IEMBS.2007.4352579. [DOI] [PubMed] [Google Scholar]
  328. Garcia-Gradilla V.; Orozco J.; Sattayasamitsathit S.; Soto F.; Kuralay F.; Pourazary A.; Katzenberg A.; Gao W.; Shen Y.; Wang J. Functionalized Ultrasound-Propelled Magnetically Guided Nanomotors: Toward Practical Biomedical Applications. ACS Nano 2013, 7, 9232–9240. 10.1021/nn403851v. [DOI] [PubMed] [Google Scholar]
  329. Magdanz V.; Koch B.; Sanchez S.; Schmidt O. G. Sperm Dynamics in Tubular Confinement. Small 2015, 11, 781–785. 10.1002/smll.201401881. [DOI] [PubMed] [Google Scholar]
  330. Qiu T.; Schamel D.; Mark A. G.; Fischer P. 2014 IEEE International Conference on Robotics and Automation (ICRA) 2014, 3801–3806. 10.1109/ICRA.2014.6907410. [DOI] [Google Scholar]
  331. Pokki J.; Ergeneman O.; Chatzipirpiridis G.; Lühmann T.; Sort J.; Pellicer E.; Pot S. A.; Spiess B. M.; Pané S.; Nelson B. J. Protective Coatings for Intraocular Wirelessly Controlled Microrobots for Implantation: Corrosion, Cell Culture, and in Vivo Animal Tests. J. Biomed. Mater. Res., Part B 2017, 105, 836–845. 10.1002/jbm.b.33618. [DOI] [PubMed] [Google Scholar]
  332. Jeong M.; Choi E.; Li D.; Palagi S.; Fischer P.; Qiu T. Soft Continuous Surface for Micromanipulation driven by Light-controlled Hydrogels. 2019 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS) 2019, 1–6. 10.1109/MARSS.2019.8860936. [DOI] [Google Scholar]
  333. Chen J.; Wang Y. Personalized Dynamic Transport of Magnetic Nanorobots inside the Brain Vasculature. Nanotechnology 2020, 31, 495706. 10.1088/1361-6528/abb392. [DOI] [PubMed] [Google Scholar]
  334. Li J.; Thamphiwatana S.; Liu W.; Esteban-Fernández de Ávila B.; Angsantikul P.; Sandraz E.; Wang J.; Xu T.; Soto F.; Ramez V.; et al. Enteric Micromotor Can Selectively Position and Spontaneously Propel in the Gastrointestinal Tract. ACS Nano 2016, 10, 9536–9542. 10.1021/acsnano.6b04795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  335. Gao W.; Dong R.; Thamphiwatana S.; Li J.; Gao W.; Zhang L.; Wang J. Artificial Micromotors in the Mouse’s Stomach: A Step toward in Vivo Use of Synthetic Motors. ACS Nano 2015, 9, 117–123. 10.1021/nn507097k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  336. Hamdi M.; Ferreira A. Guidelines for the Design of Magnetic Nanorobots to Cross the Blood-Brain Barrier. IEEE Trans. Robot. 2014, 30, 81–92. 10.1109/TRO.2013.2291616. [DOI] [Google Scholar]
  337. Wu Z.; Chen Y.; Mukasa D.; Pak O. S.; Gao W. Medical Micro/Nanorobots in Complex Media. Chem. Soc. Rev. 2020, 49, 8088–8112. 10.1039/D0CS00309C. [DOI] [PubMed] [Google Scholar]
  338. Nelson B. J.; Peyer K. E. Micro- and Nanorobots Swimming in Heterogeneous Liquids. ACS Nano 2014, 8, 8718–8724. 10.1021/nn504295z. [DOI] [PubMed] [Google Scholar]
  339. Palagi S.; Walker D.; Qiu T.; Fischer P. In Microbiorobotics, 2nd ed.; Kim M., Julius A. A., Cheang U. K., Eds.; Elsevier: Boston, 2017. 10.1016/B978-0-32-342993-1.00015-X. [DOI] [Google Scholar]
  340. Qiu F.; Zhang L.; Tottori S.; Marquardt K.; Krawczyk K.; Franco-Obregón A.; Nelson B. J. Bio-Inspired Microrobots. Mater. Today 2012, 15, 463. 10.1016/S1369-7021(12)70201-8. [DOI] [Google Scholar]
  341. Jin Q.; Yang Y.; Jackson J. A.; Yoon C.; Gracias D. H. Untethered Single Cell Grippers for Active Biopsy. Nano Lett. 2020, 20, 5383–5390. 10.1021/acs.nanolett.0c01729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  342. Yim S.; Gultepe E.; Gracias D. H.; Sitti M. Biopsy using a Magnetic Capsule Endoscope Carrying, Releasing, and Retrieving Untethered Microgrippers. IEEE Trans. Biomed. Eng. 2014, 61, 513–521. 10.1109/TBME.2013.2283369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  343. Son D.; Gilbert H.; Sitti M. Magnetically Actuated Soft Capsule Endoscope for Fine-Needle Biopsy. Soft Robot. 2020, 7, 10–21. 10.1089/soro.2018.0171. [DOI] [PubMed] [Google Scholar]
  344. Ongaro F.; Scheggi S.; Yoon C.; den Brink F. v.; Oh S. H.; Gracias D. H.; Misra S. Autonomous Planning and Control of Soft Untethered Grippers in Unstructured Environments. J. Micro-Bio Robot. 2017, 12, 45–52. 10.1007/s12213-016-0091-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  345. Ghosh A.; Yoon C.; Ongaro F.; Scheggi S.; Selaru F. M.; Misra S.; Gracias D. H. Stimuli-Responsive Soft Untethered Grippers for Drug Delivery and Robotic Surgery. Front. Mech. Eng. 2017, 3, 7. 10.3389/fmech.2017.00007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  346. Malachowski K.; Breger J.; Kwag H. R.; Wang M. O.; Fisher J. P.; Selaru F. M.; Gracias D. H. Stimuli-Responsive Theragrippers for Chemomechanical Controlled Release. Angew. Chem., Int. Ed. 2014, 53, 8045–8049. 10.1002/anie.201311047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  347. Gultepe E.; Randhawa J. S.; Kadam S.; Yamanaka S.; Selaru F. M.; Shin E. J.; Kalloo A. N.; Gracias D. H. Biopsy with Thermally-Responsive Untethered Microtools. Adv. Mater. 2013, 25, 514–519. 10.1002/adma.201203348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  348. Flemming H.-C.; Wingender J.; Szewzyk U.; Steinberg P.; Rice S. A.; Kjelleberg S. Biofilms: an Emergent Form of Bacterial Life. Nat. Rev. Microbiol. 2016, 14, 563–575. 10.1038/nrmicro.2016.94. [DOI] [PubMed] [Google Scholar]
  349. Lewis K. Riddle of Biofilm Resistance. Antimicrob. Agents Chemother. 2001, 45, 999. 10.1128/AAC.45.4.999-1007.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  350. Stanton M. M.; Park B.-W.; Vilela D.; Bente K.; Faivre D.; Sitti M.; Sánchez S. Magnetotactic Bacteria Powered Biohybrids Target E. coli Biofilms. ACS Nano 2017, 11, 9968–9978. 10.1021/acsnano.7b04128. [DOI] [PubMed] [Google Scholar]
  351. Bhuyan T.; Simon A. T.; Maity S.; Singh A. K.; Ghosh S. S.; Bandyopadhyay D. Magnetotactic T-Budbots to Kill-n-Clean Biofilms. ACS Appl. Mater. Interfaces 2020, 12, 43352–43364. 10.1021/acsami.0c08444. [DOI] [PubMed] [Google Scholar]
  352. Hwang G.; Paula A. J.; Hunter E. E.; Liu Y.; Babeer A.; Karabucak B.; Stebe K.; Kumar V.; Steager E.; Koo H. Catalytic Antimicrobial Robots for Biofilm Eradication. Sci. Robot. 2019, 4, eaaw2388 10.1126/scirobotics.aaw2388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  353. Pané S.; Puigmartí-Luis J.; Bergeles C.; Chen X.-Z.; Pellicer E.; Sort J.; Počepcová V.; Ferreira A.; Nelson B. J. Imaging Technologies for Biomedical Micro- and Nanoswimmers. Adv. Mater. Technol. 2019, 4, 1800575. 10.1002/admt.201800575. [DOI] [Google Scholar]
  354. Vartholomeos P.; Fruchard M.; Ferreira A.; Mavroidis C. MRI-Guided Nanorobotic Systems for Therapeutic and Diagnostic Applications. Annu. Rev. Biomed. Eng. 2011, 13, 157–184. 10.1146/annurev-bioeng-071910-124724. [DOI] [PubMed] [Google Scholar]
  355. Wang B.; Kostarelos K.; Nelson B. J.; Zhang L. Trends in Micro-/Nanorobotics: Materials Development, Actuation, Localization, and System Integration for Biomedical Applications. Adv. Mater. 2021, 33, 2002047. 10.1002/adma.202002047. [DOI] [PubMed] [Google Scholar]
  356. Martel S. Magnetic Nanoparticles in Medical Nanorobotics. J. Nanopart. Res. 2015, 17, 75. 10.1007/s11051-014-2734-2. [DOI] [Google Scholar]
  357. Wang W.; Zhou C. A Journey of Nanomotors for Targeted Cancer Therapy: Principles, Challenges, and a Critical Review of the State-of-the-Art. Adv. Healthcare Mater. 2021, 10, 2001236. 10.1002/adhm.202001236. [DOI] [PubMed] [Google Scholar]
  358. Aziz A.; Pane S.; Iacovacci V.; Koukourakis N.; Czarske J.; Menciassi A.; Medina-Sánchez M.; Schmidt O. G. Medical Imaging of Microrobots: Toward In Vivo Applications. ACS Nano 2020, 14, 10865–10893. 10.1021/acsnano.0c05530. [DOI] [PubMed] [Google Scholar]
  359. Medina-Sánchez M.; Schmidt O. G. Medical Microbots Need Better Imaging and Control. Nature 2017, 545, 406. 10.1038/545406a. [DOI] [PubMed] [Google Scholar]
  360. Wang B.; Zhang Y.; Zhang L. Recent Progress on Micro- and Nano-Robots: Towards in Vivo Tracking and Localization. Quant. Imag. Med. Surg. 2018, 8, 461–479. 10.21037/qims.2018.06.07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  361. Mutlu S.; Yasa O.; Erin O.; Sitti M. Magnetic Resonance Imaging-Compatible Optically Powered Miniature Wireless Modular Lorentz Force Actuators. Adv. Sci. 2021, 8, 2002948. 10.1002/advs.202002948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  362. Tiryaki M. E.; Önder E.; Sitti M. A Realistic Simulation Environment for MRI-Based Robust Control of Untethered Magnetic Robots With Intra-Operational Imaging. IEEE Robot. Autom. Lett. 2020, 5, 4501–4508. 10.1109/LRA.2020.3002213. [DOI] [Google Scholar]
  363. Martel S.; Mathieu J.-B.; Felfoul O.; Chanu A.; Aboussouan E.; Tamaz S.; Pouponneau P.; Yahia L. H.; Beaudoin G.; Soulez G.; et al. Automatic Navigation of an Untethered Device in the Artery of a Living Animal using a Conventional Clinical Magnetic Resonance Imaging System. Appl. Phys. Lett. 2007, 90, 114105. 10.1063/1.2713229. [DOI] [Google Scholar]
  364. Servant A.; Qiu F.; Mazza M.; Kostarelos K.; Nelson B. J. Controlled In Vivo Swimming of a Swarm of Bacteria-Like Microrobotic Flagella. Adv. Mater. 2015, 27, 2981–2988. 10.1002/adma.201404444. [DOI] [PubMed] [Google Scholar]
  365. Deng G.; Peng X.; Sun Z.; Zheng W.; Yu J.; Du L.; Chen H.; Gong P.; Zhang P.; Cai L.; et al. Natural-Killer-Cell-Inspired Nanorobots with Aggregation-Induced Emission Characteristics for Near-Infrared-II Fluorescence-Guided Glioma Theranostics. ACS Nano 2020, 14, 11452–11462. 10.1021/acsnano.0c03824. [DOI] [PubMed] [Google Scholar]
  366. Steager E. B.; Selman Sakar M.; Magee C.; Kennedy M.; Cowley A.; Kumar V. Automated Biomanipulation of Single Cells using Magnetic Microrobots. Int. J. Robot. Res. 2013, 32, 346–359. 10.1177/0278364912472381. [DOI] [Google Scholar]
  367. Wang Q.; Yang L.; Yu J.; Chiu P. W. Y.; Zheng Y. P.; Zhang L. Real-Time Magnetic Navigation of a Rotating Colloidal Microswarm Under Ultrasound Guidance. IEEE Trans. Biomed. Eng. 2020, 67, 3403–3412. 10.1109/TBME.2020.2987045. [DOI] [PubMed] [Google Scholar]
  368. Wang Q.; Yang L.; Yu J.; Vong C.; Chiu P. W. Y.; Zhang L. Magnetic Navigation of a Rotating Colloidal Swarm Using Ultrasound Images. 2018 IEEE/RSJ. International Conference on Intelligent Robots and Systems (IROS) 2018, 5380–5385. 10.1109/IROS.2018.8593898. [DOI] [Google Scholar]
  369. Wang Q. W.; Chan K. F. C.; Schweizer K.; Du X.; Jin D.; Yu S. C. H.; Nelson B. J.; Zhang L. Ultrasound Doppler-guided real-time navigation of a magnetic microswarm for active endovascular delivery. Sci. Adv. 2021, 7, eabe5914 10.1126/sciadv.abe5914. [DOI] [PMC free article] [PubMed] [Google Scholar]
  370. Sánchez A.; Magdanz V.; Schmidt O. G.; Misra S. 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics 2014, 169–174. 10.1109/BIOROB.2014.6913771. [DOI] [Google Scholar]
  371. Yu J.; Wang Q.; Li M.; Liu C.; Wang L.; Xu T.; Zhang L. Characterizing Nanoparticle Swarms With Tuneable Concentrations for Enhanced Imaging Contrast. IEEE Robot. Autom. Lett. 2019, 4, 2942–2949. 10.1109/LRA.2019.2924055. [DOI] [Google Scholar]
  372. Li D.; Dong D.; Lam W.; Xing L.; Wei T.; Sun D. Automated In Vivo Navigation of Magnetic-Driven Microrobots Using OCT Imaging Feedback. IEEE Trans. Biomed. Eng. 2020, 67, 2349–2358. 10.1109/TBME.2019.2960530. [DOI] [PubMed] [Google Scholar]
  373. Iacovacci V.; Blanc A.; Huang H.; Ricotti L.; Schibli R.; Menciassi A.; Behe M.; Pané S.; Nelson B. J. High-Resolution SPECT Imaging of Stimuli-Responsive Soft Microrobots. Small 2019, 15, 1900709. 10.1002/smll.201900709. [DOI] [PubMed] [Google Scholar]
  374. Hang D.; Li F.; Che W.; Wu X.; Wan Y.; Wang J.; Zheng Y. One-Stage Positron Emission Tomography and Magnetic Resonance Imaging to Assess Mesenchymal Stem Cell Survival in a Canine Model of Intervertebral Disc Degeneration. Stem Cells Dev. 2017, 26, 1334–1343. 10.1089/scd.2017.0103. [DOI] [PubMed] [Google Scholar]
  375. Cai H.; Li K.; Li J.; Wen S.; Chen Q.; Shen M.; Zheng L.; Zhang G.; Shi X. Dendrimer-Assisted Formation of Fe3O4/Au Nanocomposite Particles for Targeted Dual Mode CT/MR Imaging of Tumors. Small 2015, 11, 4584–4593. 10.1002/smll.201500856. [DOI] [PubMed] [Google Scholar]
  376. Wang Q.; Yang L.; Yu J.; Vong C.; Chiu P. W. Y.; Zhang L. Magnetic Navigation of a Rotating Colloidal Swarm Using Ultrasound Images. 2018 IEEE/RSJ. International Conference on Intelligent Robots and Systems (IROS) 2018, 5380–5385. 10.1101/2020.06.22.146282. [DOI] [Google Scholar]
  377. Karageorgou M.-A.; Vranješ-Djurić S.; Radović M.; Lyberopoulou A.; Antić B.; Rouchota M.; Gazouli M.; Loudos G.; Xanthopoulos S.; Sideratou Z.; et al. Gallium-68 Labeled Iron Oxide Nanoparticles Coated with 2,3-Dicarboxypropane-1,1-diphosphonic Acid as a Potential PET/MR Imaging Agent: A Proof-of-Concept Study. Contrast Media Mol. Imaging 2017, 2017, 6951240. 10.1155/2017/6951240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  378. Felfoul O.; Aboussouan E.; Chanu A.; Martel S. 2009 IEEE Inter. Conference Robot. Autom (ICRA). 2009, 2693–2698. 10.1109/ROBOT.2009.5152567. [DOI] [Google Scholar]
  379. Gleich B.; Weizenecker J. Tomographic Imaging Using the Nonlinear Response of Magnetic Particles. Nature 2005, 435, 1214–1217. 10.1038/nature03808. [DOI] [PubMed] [Google Scholar]
  380. Nothnagel N.; Rahmer J.; Gleich B.; Halkola A.; Buzug T. M.; Borgert J. Steering of Magnetic Devices With a Magnetic Particle Imaging System. IEEE Trans. Biomed. Eng. 2016, 63, 2286–2293. 10.1109/TBME.2016.2524070. [DOI] [PubMed] [Google Scholar]
  381. Bakenecker A. C.; von Gladiss A.; Friedrich T.; Heinen U.; Lehr H.; Lüdtke-Buzug K.; Buzug T. M. Actuation and Visualization of a Magnetically Coated Swimmer with Magnetic Particle Imaging. J. Magn. Magn. Mater. 2019, 473, 495–500. 10.1016/j.jmmm.2018.10.056. [DOI] [Google Scholar]
  382. Graeser M.; Thieben F.; Szwargulski P.; Werner F.; Gdaniec N.; Boberg M.; Griese F.; Möddel M.; Ludewig P.; van de Ven D.; et al. Human-sized Magnetic Particle Imaging for Brain Applications. Nat. Commun. 2019, 10, 1936. 10.1038/s41467-019-09704-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  383. Yang L.; Zhang Y.; Wang Q.; Chan K.; Zhang L. Automated Control of Magnetic Spore-Based Microrobot Using Fluorescence Imaging for Targeted Delivery With Cellular Resolution. IEEE Trans. Autom. Sci. Eng. 2020, 17, 490–501. 10.1109/TASE.2019.2937232. [DOI] [Google Scholar]
  384. Yang L.; Zhang Y.; Vong C.; Zhang L. Automated Control of Multifunctional Magnetic Spores Using Fluorescence Imaging for Microrobotic Cargo Delivery. 2018 IEEE/RSJ. International Conference on Intelligent Robots and Systems (IROS) 2018, 1–6. 10.1109/IROS.2018.8593790. [DOI] [Google Scholar]
  385. Shang L.; Dong S.; Nienhaus G. U. Ultra-Small Fluorescent Metal Nanoclusters: Synthesis and Biological Applications. Nano Today 2011, 6, 401–418. 10.1016/j.nantod.2011.06.004. [DOI] [Google Scholar]
  386. Wu X.; Liu H.; Liu J.; Haley K. N.; Treadway J. A.; Larson J. P.; Ge N.; Peale F.; Bruchez M. P. Immunofluorescent Labeling of Cancer Marker Her2 and Other Cellular Targets with Semiconductor Quantum Dots. Nat. Biotechnol. 2003, 21, 41–46. 10.1038/nbt764. [DOI] [PubMed] [Google Scholar]
  387. Karmakar A.; Samanta P.; Dutta S.; Ghosh S. K. Fluorescent “Turn-on” Sensing Based on Metal-Organic Frameworks (MOFs). Chem. - Asian J. 2019, 14, 4506–4519. 10.1002/asia.201901168. [DOI] [PubMed] [Google Scholar]
  388. Ma Y.; Su H.; Kuang X.; Li X.; Zhang T.; Tang B. Heterogeneous Nano Metal-Organic Framework Fluorescence Probe for Highly Selective and Sensitive Detection of Hydrogen Sulfide in Living Cells. Anal. Chem. 2014, 86, 11459–11463. 10.1021/ac503622n. [DOI] [PubMed] [Google Scholar]
  389. Fenster A.; Downey D. B.; Cardinal H. N. Three-Dimensional Ultrasound Imaging. Phys. Med. Biol. 2001, 46, R67–R99. 10.1088/0031-9155/46/5/201. [DOI] [PubMed] [Google Scholar]
  390. Williamson T. H.; Harris A. Color Doppler Ultrasound Imaging of Theeye and Orbit. Surv. Ophthalmol. 1996, 40, 255–267. 10.1016/S0039-6257(96)82001-7. [DOI] [PubMed] [Google Scholar]
  391. Bell A. G. The Production of Sound by Radiant Energy. Science 1881, 2, 242–253. 10.1126/science.os-2.49.242. [DOI] [PubMed] [Google Scholar]
  392. Aziz A.; Medina-Sánchez M.; Claussen J.; Schmidt O. G. Real-Time Optoacoustic Tracking of Single Moving Micro-objects in Deep Phantom and Ex Vivo Tissues. Nano Lett. 2019, 19, 6612–6620. 10.1021/acs.nanolett.9b02869. [DOI] [PubMed] [Google Scholar]
  393. Yang K.; Feng L.; Hong H.; Cai W.; Liu Z. Preparation and Functionalization of Graphene Nanocomposites for Biomedical Applications. Nat. Protoc. 2013, 8, 2392–2403. 10.1038/nprot.2013.146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  394. Chen F.; Hong H.; Zhang Y.; Valdovinos H. F.; Shi S.; Kwon G. S.; Theuer C. P.; Barnhart T. E.; Cai W. In Vivo Tumor Targeting and Image-Guided Drug Delivery with Antibody-Conjugated, Radiolabeled Mesoporous Silica Nanoparticles. ACS Nano 2013, 7, 9027–9039. 10.1021/nn403617j. [DOI] [PMC free article] [PubMed] [Google Scholar]
  395. Sandhöfer B.; Meckel M.; Delgado-López J. M.; Patrício T.; Tampieri A.; Rösch F.; Iafisco M. Synthesis and Preliminary in Vivo Evaluation of Well-Dispersed Biomimetic Nanocrystalline Apatites Labeled with Positron Emission Tomographic Imaging Agents. ACS Appl. Mater. Interfaces 2015, 7, 10623–10633. 10.1021/acsami.5b02624. [DOI] [PubMed] [Google Scholar]
  396. Vilela D.; Cossío U.; Parmar J.; Martínez-Villacorta A. M.; Gómez-Vallejo V.; Llop J.; Sánchez S. Medical Imaging for the Tracking of Micromotors. ACS Nano 2018, 12, 1220–1227. 10.1021/acsnano.7b07220. [DOI] [PubMed] [Google Scholar]
  397. Dekanovsky L.; Khezri B.; Rottnerova Z.; Novotny F.; Plutnar J.; Pumera M. Chemically Programmable Microrobots Weaving a Web from Hormones. Nat. Mach. Intell. 2020, 2, 711–718. 10.1038/s42256-020-00248-0. [DOI] [Google Scholar]
  398. Jin D.; Zhang L. Embodied Intelligence Weaves a Better Future. Nat. Mach. Intell. 2020, 2, 663–664. 10.1038/s42256-020-00250-6. [DOI] [Google Scholar]
  399. Ji F.; Wang B.; Zhang L. Light-Triggered Catalytic Performance Enhancement Using Magnetic Nanomotor Ensembles. Research 2020, 2020, 6380794. 10.34133/2020/6380794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  400. Wang D.; Zhao G.; Chen C.; Zhang H.; Duan R.; Zhang D.; Li M.; Dong B. One-Step Fabrication of Dual Optically/Magnetically Modulated Walnut-like Micromotor. Langmuir 2019, 35, 2801–2807. 10.1021/acs.langmuir.8b02904. [DOI] [PubMed] [Google Scholar]
  401. Sun M.; Chen W.; Fan X.; Tian C.; Sun L.; Xie H. Cooperative Recyclable Magnetic Microsubmarines for Oil and Microplastics Removal from Water. Appl. Mater. Today 2020, 20, 100682. 10.1016/j.apmt.2020.100682. [DOI] [Google Scholar]
  402. Hoop M.; Shen Y.; Chen X.-Z.; Mushtaq F.; Iuliano L. M.; Sakar M. S.; Petruska A.; Loessner M. J.; Nelson B. J.; Pané S. Magnetically Driven Silver-Coated Nanocoils for Efficient Bacterial Contact Killing. Adv. Funct. Mater. 2016, 26, 1063–1069. 10.1002/adfm.201504463. [DOI] [Google Scholar]
  403. Singh A. K.; Bhuyan T.; Maity S.; Mandal T. K.; Bandyopadhyay D. Magnetically Actuated Carbon Soot Nanoparticle-Based Catalytic CARBOts Coated with Ni/Pt Nanofilms for Water Detoxification and Oil-Spill Recovery. ACS Appl. Nano Mater. 2020, 3, 3459–3470. 10.1021/acsanm.0c00199. [DOI] [Google Scholar]
  404. Liu J.; Li J.; Wang G.; Yang W.; Yang J.; Liu Y. Bioinspired Zeolitic Imidazolate Framework (ZIF-8) Magnetic Micromotors for Highly Efficient Removal of Organic Pollutants from Water. J. Colloid Interface Sci. 2019, 555, 234–244. 10.1016/j.jcis.2019.07.059. [DOI] [PubMed] [Google Scholar]
  405. Zhang Y.; Yuan K.; Zhang L. Micro/Nanomachines: from Functionalization to Sensing and Removal. Adv. Mater. Technol. 2019, 4, 1800636. 10.1002/admt.201800636. [DOI] [Google Scholar]
  406. Yang L.; Zhang Y.; Wang Q.; Zhang L. An Automated Microrobotic Platform for Rapid Detection of C. diff Toxins. IEEE Trans. Biomed. Eng. 2020, 67, 1517–1527. 10.1109/TBME.2019.2939419. [DOI] [PubMed] [Google Scholar]
  407. Jurado-Sánchez B.; Pacheco M.; Rojo J.; Escarpa A. Magnetocatalytic Graphene Quantum Dots Janus Micromotors for Bacterial Endotoxin Detection. Angew. Chem., Int. Ed. 2017, 56, 6957–6961. 10.1002/anie.201701396. [DOI] [PubMed] [Google Scholar]
  408. Park S.; Yossifon G. Micromotor-Based Biosensing Using Directed Transport of Functionalized Beads. ACS Sens. 2020, 5, 936–942. 10.1021/acssensors.9b02041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  409. Sim S.; Aida T. Swallowing a Surgeon: Toward Clinical Nanorobots. Acc. Chem. Res. 2017, 50, 492–497. 10.1021/acs.accounts.6b00495. [DOI] [PubMed] [Google Scholar]

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