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. 2025 Feb 4;10(6):5214–5250. doi: 10.1021/acsomega.4c09806

Advancements in Micro/Nanorobots in Medicine: Design, Actuation, and Transformative Application

Induni Nayodhara Weerarathna †,*, Praveen Kumar , Hellen Yayra Dzoagbe §, Lydia Kiwanuka
PMCID: PMC11840590  PMID: 39989765

Abstract

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In light of the ongoing technological transformation, embracing advancements that foster shared benefits is essential. Nanorobots, a breakthrough within nanotechnology, have demonstrated significant potential in fields such as medicine, where diagnostic and therapeutic applications are the primary focus areas. This review provides a comprehensive overview of nanotechnology, robots, and their evolving role in medical applications, particularly highlighting the use of nanorobots. Various design strategies and operational principles, including sensors, actuators, and nanocontrollers, are discussed based on prior research. Key nanorobot medical applications include biomedical imaging, biosensing, minimally invasive surgery, and targeted drug delivery, each utilizing advanced actuation technologies to enhance precision. The paper further examines recent progress in micro/nanorobot actuation and addresses important considerations for the future, including biocompatibility, control, navigation, delivery, targeting, safety, and ethical implications. This review offers a holistic perspective on how nanorobots can reshape medical practices, paving the way for precision medicine and improved patient outcomes.

1. Introduction

By manipulating matter at the atomic and molecular levels, nanotechnology enables the creation of materials with a startlingly wide range of sophisticated features. This fast-growing field of study has enormous potential across various industries, including electronics, construction, and healthcare. The development of nanotechnology spurs significant scientific advancements in the medical sciences.1 The discipline of nano oncology has emerged due to the application of nanotechnology in oncology, and nanoparticles have entirely transformed the drug delivery industry due to their ease of design. Drug-loaded nanoparticles can protect our healthy cells by explicitly targeting malignant cells. Above all, these nanoparticles can get through our body’s physiological barrier because of their small size.2 Also, nanotechnology is used for minimally invasive surgery, biomedical imaging, biosensing, and more medical applications.

Nanotechnology is utilized to create diagnostic systems, and nanomedicine is the branch of medicine used to diagnose and treat illnesses. The material can be measured at the nanoscale thanks to technologies like electrochemiluminescence.3 Nanoprobes such as quantum dots, plasmonic nanoparticles, magnetic nanoparticles, nanotubes, nanowires, and multifunctional nanomaterials can be used for cellular imaging in medical diagnosis. High volume/surface ratio, surface tailor ability, multifunctionality, and inherent features are benefits of employing nanoprobes.4,5 Additionally, nanotechnology aids drug development, enhances drug distribution within the body, and targets specific therapeutic sites. It can also be included to improve the effectiveness of traditional medical procedures.6 Nowadays, robot technology is leading in every sector. Scientists and engineers try to make different types of robots using nanotechnology. As a result of nanotechnology, they can make nanorobots. Creating machines or robots with components at or near the scale of a nanometer (10–9 meters) is known as nanorobots or simply nanobots.7 Nanoid robotics, also known as nanorobotics or nanobotics, is an emerging technology sector. Specifically, nanorobotics (as opposed to microrobotics) is the engineering discipline of nanotechnology that deals with the design and construction of nanorobots that have devices made of molecular or nanoscale components and range in size from 0.1 to 10 μm.8

The history of robotics goes from ancient dreams to modern reality. The earliest known example of a robotic device dates back to ancient Greece (Leonardo Da Vinci’s), where Archytas of Tarentum built a mechanical bird that could fly. The Industrial Revolution of the 18th and 19th centuries saw the development of several machines that could perform repetitive tasks, such as the Jacquard loom and the cotton gin. These machines were not robots, but they paved the way for developing automated machinery that would later be used in factories. The early robots, the first programmable robots, were created in 1954 by George Devol and Joseph Engelberger. The Unimate robot was used to lift and stack hot metal parts in a General Motors factory. In the late 20th and early 21st centuries, robots began to move beyond the factory and into the home. Robots like the Roomba vacuum cleaner and the iRobot Create educational robot made it possible for people to experience the benefits of robotics in their daily lives. And the future of robotics is bright, with exciting possibilities in healthcare, space exploration, and environmental monitoring.9 Robots are becoming increasingly sophisticated, capable of learning, adapting, and working collaboratively with humans. Robots will play an increasingly important role in our lives in the future.10

The creation of nanorobots/microrobots was prompted by the swift expansion of robot technology’s uses in health and medical science. Nanorobots are controlled nanoscale devices that carry out bodily functions. They are highly accurate, versatile, and flexible. Sensors and motors make up nanorobots.11 When trouble-making intruders are present, they undergo conformational changes that trigger the release of an agent that works against them. Even smaller nanorobots operate at the breathtaking nanoscale, ranging from 1 to 100 nm (1 billionth of a meter). Also, nanorobots require specialized microscopy techniques for observation.12

The concept of nanorobots was first introduced by Richard Feynman in 1959 in his talk “There’s Plenty of Room at the Bottom”, where he highlighted their potential in treating cardiac conditions.13 Building on this, Robert Freitas conducted pioneering research on “respirocytes”, artificial red blood cells designed for therapeutic purposes. Recent advancements in bioinformatics, robotics, nanostructuring, medicine, and computing have driven the development of nanorobots and microrobots, especially for drug delivery systems. These robots exist in various forms, such as respirocytes, microbivores, surgical nanorobots, and cellular repair nanorobots, each tailored to specific medical applications.14 Carbon, known for its exceptional strength and inertness, is a critical material for constructing the external surfaces of nanorobots, providing structural durability and shielding them from immune system attacks. Advanced microscopy techniques like Atomic Force Microscopy (AFM) and Scanning Electron Microscopy (SEM) are indispensable tools for studying and refining the molecular structure of nanorobots. These techniques allow researchers to visually and tactilely analyze their design and functionality, ensuring optimal performance. Despite these advancements, nano robots’ precise creation, control, and navigation remain significant challenges, requiring further technological and scientific breakthroughs.15

Robotic systems have significantly increased human awareness, interaction, manipulation, and transformation of our surroundings. In particular, a revolution in the medical applications of robotic technologies to improve healthcare has been made possible by the convergence of multiple technologies.16 Medical robot devices are made for settings and tasks related to illness prevention and treatment. They need intelligent materials with small bits for intricate and accurate operations and to match with the human body. Technological advancements in motors, control theory, materials, medical imaging, and improved surgeon/patient acceptance have all contributed to the explosive rise of medical robots.17

The emergence of nanorobots is a significant development in biomedical engineering that has the potential to completely transform healthcare.18 The field of micro/nanorobots has seen extensive review efforts, with many articles focusing on specific aspects such as fabrication techniques, actuation mechanisms, or biomedical applications. While these reviews provide valuable insights into individual components of the field, there is a lack of comprehensive integration that holistically connects the design, manufacturing processes, actuation mechanisms, and diverse biomedical applications of micro/nanorobots. This manuscript aims to fill this gap by offering a multidimensional review that synthesizes these elements into a unified framework. First, the review highlights the complex procedures used in their design and manufacture, such as chemical etching, thin layer deposition, electrode placement, and soft lithography. Next, we highlight the wide range of biomedical uses that nanorobots make possible, including minimally invasive surgery, precise target drug administration, and state-of-the-art biomedical imaging and biosensing technologies. Moreover, the article clarifies the many actuation processes that drive nanorobots into motion, whether by fuel-dependent self-propulsion or external field actuation. Lastly, the authors explore the prospects and problems in this emerging sector, focusing on important topics, including delivery and targeting accuracy, control and navigation, biocompatibility, and safety and ethics.

2. Design and Fabrication of Nanorobots

Nanorobot design takes into account many important factors, including biocompatibility, functionality, size, and shape.19 Nanorobots must have specific functions suited to their intended uses and be small enough to maneuver through biological settings and engage with molecules and cells. Furthermore, making sure that an object is biocompatible is crucial to avoiding adverse reactions when it is used on living things.20 The fabrication of nanorobots necessitates specific methods able to precisely and consistently create structures at the nanoscale.21 Soft lithography, electrodeposition, thin film deposition, and chemical etching are fabrication processes. Each method adds something unique to the fabrication process concerning resolution, scalability, and material compatibility. The available fabrication techniques are intrinsically tied to micro- and nanorobot device design.22Figure 1 shows the fabrication methods of micro/nanorobots.

Figure 1.

Figure 1

Schematic diagram of fabrication methods of micro/nanorobots.

Although there has been some stability in the development of microfabrication methods over the past ten years, these technologies are still actively being pursued, and the design limitations they generate have not been thoroughly studied.23 The procedures utilized in conventional microfabrication, including lithography, thin-film deposition, chemical etching, and electrodeposition, will be briefly highlighted in this section. The traditional fabrication techniques created for the semiconductor industry are the foundation of most micro- and nanofabrication techniques. Therefore, anyone starting a research and development career in the micro/nano domain must thoroughly understand these methodologies. Fabrication of micro/nanorobots is a very complex process. Fabrication of micro/nanorobots is done by following the process. Such as Soft lithography, thin film deposition, chemical etching and electrodeposition.24 The advancement in the creation of nanorobots is never-ending. In two studies published in 2014, two fabrication methods were also provided. Researchers in Bao et al.25 created nanorobots from platinum and carbon nanotubes (CNTs) using the focused ion beam (FIB) technology. Hayakawa et al. experimented with inserting an infrared laser into cells to create a puncture site and generate heat.26

2.1. Soft Lithography

Lithography is a planographic printmaking process in which a design is drawn onto a flat stone (or prepared metal plate, usually zinc or aluminum) and affixed using a chemical reaction. Transferring a computer-generated design onto a substrate (silicon, glass, GaAs, etc.) is called lithography.24 The underlying thin layer (oxide, nitride, etc.) is then etched using this pattern for various uses (doping, etching, etc.). While photolithography, which uses an ultraviolet light source for lithography, is the most commonly used method in microelectronic fabrication, X-ray and electron-beam lithography are two other options that have garnered significant interest in the Micro-Electro-Mechanical Systems (MEMS) and nanofabrication fields.27 Developing a photomask is the first step after the computer layout for a particular manufacturing sequence. Origami designs inspired Huang et al. They used a one-step photolithography approach to use the hydrogel’s self-folding upon hydration to create microswimmers with various 3D topologies. The gel composites were strengthened with magnetic nanoparticles.28

Phic procedures (using e-beam or optical pattern generators) produce a thin (about 100 nm) chromium layer on a glass plate with the required pattern.29 The first step in the photolithography process is spin-coating the substrate with a photoresist once the desired material has been deposited. This polymeric photosensitive material can be spun onto the wafer in liquid form; adhesion promoters like hexamethyldisilane (HMDS) are typically utilized before the resist is applied. The final resist thickness, usually 0.5–2.5 μm, depends on the photoresist viscosity and spinning speed. Positive and negative photoresists are the two available types.30 In the succeeding development stage, UV-exposed areas with a positive resist will dissolve, whereas those with a negative photoresist will stay exposed after development. The photoresist is spun on the wafer, and then the substrate is soft-baked (5–30 min at 60–100 °C) to improve adhesion by eliminating solvents from the resist. After that, the photoresist is exposed to a UV source while the mask is positioned about the wafer. The photoresist is developed in a manner akin to that of developing photographic film following exposure. The resist is then hard-baked (20–30 min at 120–180 °C) to enhance adhesion even more. The hard-bake phase completes the photolithography sequence, which transfers the intended design onto the wafer. Following the etching of the underlying thin film, the photoresist is removed using acetone or another organic solvent.31 In 2013, lasers made it possible to fabricate nanorobots. A construction process using an optical tweezer laser beam is proposed, coupled with a manipulation technique, for a robot whose components are inside the nanoscale but whose overall body size is in the microscale. Fukada et al. have also achieved translation speeds of 100 μm/s and rotation speeds of 1140 deg/s using holographic optical tweezers.32

2.2. Thin Film Deposition

Micro- and nanofabrication technologies make considerable use of thin-film deposition and doping. Most of the constructed structures are made of materials different from the substrate and are either modified or deposited using different methods.33 Oxidation, doping, chemical vapor deposition (CVD), physical vapor deposition (PVD), and electroplating are some of these methods. A material undergoes oxidation when it reacts with oxygen to produce an oxide layer on its surface.34 This technique is frequently used to change a material’s surface characteristics, including improving adhesion or resistance to corrosion. For instance, silicon wafers can be thermally oxidized to create a layer of silicon dioxide (SiO2), which is used in microelectronics as a passivation or insulating layer.35

Doping is adding impurities to a semiconductor material to change its electrical characteristics. This method is critical to producing semiconductor devices because it allows for exact control over the conductivity and carrier concentration of materials.36 Common dopants are substances that are integrated into the semiconductor substrate’s crystal lattice, such as phosphorus (P), arsenic (Ar), and boron (Br). In CVD, a thin layer of material is deposited on a substrate surface through the chemical reaction of precursor gases.37 With its ability to precisely manage film composition, thickness, and uniformity, it can be applied to a variety of situations. In semiconductors, CVD is widely used to deposit materials such as silicon nitride (Si3N4), SiO2, and several thin-film metals for electrodes and interconnects. PVD refers to methods in which a substance is physically transferred, usually via sputtering or evaporation, from a solid source to a substrate.38 PVD is a commonly employed technique for the uniform and high-purity thin-film deposition of metals, alloys, and other materials. Thin-film transistors in display technology, protective coatings in tribology, and mirror-reflection coatings are a few examples of applications. By running an electric current through a solution containing metal ions, a thin coating of metal is deposited onto a substrate through the process of electroplating.39 This process is widely utilized in applications including corrosion protection, decorative coatings, and semiconductor device metallisation because it gives exact control over the thickness and composition of the deposited metal layer.40 Various methods for depositing thin material layers on a substrate are combined to form thin film deposition. Electrodeposition is one of these methods that is used extensively, particularly for applications where exact control over the film’s thickness, content, and shape is needed.41

2.2.1. Electrodeposition

Electrodeposition is a popular thin-film deposition technique in which an electric current is applied to place a material onto a conductive substrate. To create a consistent and cohesive layer on the substrate, metal ions in an electrolyte solution must be reduced by this procedure. Electrodeposition presents several benefits, namely its ease of use, economic feasibility, and capacity to attain precise regulation of the film’s characteristics through the manipulation of variables like current density, electrolyte composition, and deposition duration.42

Various metal and polymer materials can create microrobots with different three-dimensional geometries by electrodeposition, also known as electrochemical deposition.43 Electrodeposition is, therefore, a practical technique for creating microrobots. This method can be readily modified to meet the requirements of microrobots of different sizes and does not require expensive equipment or exacting testing conditions.44 Redox reactions can be used instead of the usual method of applying an electric current to deposit the substance.45 Template-assisted electrochemical deposition (TAED) can be used to create helical topologies in addition to the tubular micro motors for which it has been commonly utilized. Li et al. presented a representative example by creating magnetic helical nanomotors cloaked in platelet membrane.46Figure 2 shows the Fabrication of magnetic nanowires by TAED and some examples.

Figure 2.

Figure 2

A) CoPt nanowires are synthesized using a template-assisted electrodeposition process. B) The magnetization angle of hard-magnetic CoPt nanowires aligns with the short axis (yellow). In contrast, soft-magnetic CoNi nanowires align with the direction of the magnetic field (red). Reproduced with permission from the ref47 Copyright 2019 American Chemical Society. C) The dumbbell-shaped MagRobot is composed of a nickel nanowire (Ni NW) connected to two polystyrene (PS) microbeads. Reproduced with permission from ref (48). Copyright 2016 Wiley-VCH Verlag GmbH and Co. KGaA, Weinheim. D) A fish-like nano swimmer exhibits traveling-wave motion when subjected to an oscillating magnetic field. Reproduced with permission from ref (49). Copyright 2016 Wiley-VCH Verlag GmbH and Co. KGaA, Weinheim. E) A two-arm nano swimmer can freestyle swimming. Reproduced with permission from ref (50). Copyright 2017 American Chemical Society. F) SEM images show 1-, 2-, and 3-link microswimmers, with the 3-link microswimmer demonstrating traveling-wave propulsion under an oscillating magnetic field. Reproduced with permission from ref (51). Copyright 2015 American Chemical Society. G) PVDF-Ppy-Ni nanoeels exhibit three distinct motion modes, as illustrated in the SEM image provided. Reproduced with permission from ref (52). Copyright 2019 Wiley-VCH Verlag GmbH and Co. KGaA, Weinheim.

2.2.2. Membrane Template-Assisted Electrodeposition

Membrane Template-Assisted Electrodeposition is a specific type of electrodeposition in which a porous membrane template guides the deposition process. This method makes it possible to create nanostructured films with particular morphologies and patterns that are hard to do with conventional electrodeposition.

Using thin-film micropores, a variety of materials, including polymers, metals, semiconductors, and carbon, are synthesized into desired tubular or nanowire shapes in membrane template-assisted electrodeposition.53 These micropores serve as reactors, enabling the necessary micromachines to be synthesized. The membrane micropores are perfect for mass-producing microrobots with comparable nanostructures because of their high micropore density and monodispersed diameter.54 Trace-etchable polycarbonate membranes and alumina membranes are common membrane materials. The diameter of the particles matches the diameter of the micropores, and the length of the created microrobots is proportionate to the electrical charge.55 The created nanostructures can be solid or hollow, depending on the material’s characteristics and the pore walls’ chemical makeup. Electrodeposition with membrane templates offers a low-cost and effective way to manufacture nanowires, nanotubes, or helical micro motors. This section covers the preparation of nanowires, nanotubes, and helically organized micro motors using membrane-template-assisted electrodeposition.

The first to create bimetallic gold (Au)–platinum (Pt) nanowires, measuring 370 nm in diameter and 2 um in length, were Paxton et al.56 These nanowires moved along the axial platinum end direction in a 2–3% aqueous hydrogen peroxide (H2O2) solution at a velocity of up to 10 times the body length per second. Electrodeposition with membrane template assistance was the primary method to create these bimetallic nanowire motors. Later on, an enhanced electrodeposition technique for creating bimetallic nanowire motors was suggested by Fournier-Bidoz et al.57 A silver (Ag) or gold (Au) coating was first physically vapor deposited on one side of the membrane to serve as the working electrode. After assembling the membrane in a Teflon plating bath, the metal layer was covered with a flat aluminum (Al) sheet that served as a conductive contact for the following electrodeposition. The different desirable metal elements are usually deposited after a sacrificial layer of copper (Cu) or Ag has been put. After physically polishing or chemically etching the Ag/Au substrate and sacrificial layer away, the aluminum oxide membrane is dissolved by immersing it in a sodium hydroxide solution. Once the nanowire motor has been centrifuged and rinsed several times, it is extracted from the template and gathered. It was utilized to create threaded rod-like nanowire motors by depositing several metals one after the other into an alumina membrane that had nanoscale micropores.

At the unattached nickel (Ni) end of the bimetallic nanorods, H2O2 underwent oxidative breakdown to produce oxygen (O2), which propelled the nanorods toward consistent circular motion. This bimetallic nanorod produces its energy through the catalytic breakdown of H2O2 into O2 and water (H2O). The interfacial tension gradient, bubble recoil, viscous Brownian ratcheting, and autoelectrophoresis underpin the nanorods’ driving concept, translating chemical energy into the mechanical energy needed to move the system. Based on the Tafel plots produced by the reaction of H2O2 on the cathode and anode on several metal ultramicroelectrodes, Ambulo et al.58 calculated the potentials of the cathode and anode on each metal with similar reaction rates. The bipolar electrochemical driving mechanism of the bimetallic nanorods was further confirmed by predicting all possible directions of motion of the bimetallic assemblies based on the electrochemical mechanisms of the bimetals.

The fundamental idea of membrane template-assisted electrodeposition and electrodeposition is using electric current to deposit material onto a substrate. By adding a membrane template to the conventional electrodeposition technique, Membrane Template-Assisted Electro deposition allows for more control over the nanostructure of the film. Membrane template-assisted electrodeposition is a sophisticated form of electrodeposition that provides extra capabilities for nanoscale patterning and structuring of the deposited material. Both techniques are essential to thin-film deposition; choosing one will depend on the application’s needs.59

2.3. Chemical Etching

Further to thin film etching, the substrate (silicon, glass, GaAs, etc.) must frequently be removed in micro- and nanofabrication to form different mechanical structures (beams, plates, etc.). Selectivity and directionality are two crucial aspects of any etching process. The ability of the etchant to distinguish between the layer to be etched and the masking layer is known as selectivity. The etch profile beneath the mask determines directionality. An isotropic etch produces a semicircular profile beneath the mask because the etchant hits the material in all directions at the same rate. An anisotropic etch produces straight sidewalls or other noncircular features, with the dissolving rate dependent on specific directions. The different etching methods can also be separated into wet and dry groups. Due to the lateral undercut, wet etchants can only achieve a minimum feature size greater than 3 μm. Photoresist and Si3N4 are the two most popular masking materials for the wet oxide etch. Essential subjects in micro- and nanofabrication are isotropic and isotropic wet etching of crystalline (silicon and gallium arsenide) and noncrystalline (glass) surfaces.

2.4. Two-Photon Polymerization (TPP)

TPP is a cutting-edge fabrication technique that enables the creation of intricate micro- and nanostructures with high accuracy.60 This method exploits the simultaneous absorption of two photons to start polymerization, which allows for the formation of 3D structures at micro/nanoscale. The accuracy of TPP stems from its nonlinear absorption process, which confines the polymerization to the focal point of the laser beam, thus providing a higher resolution than traditional single-photon polymerization methods. This capability makes TPP particularly suitable for developing micro- and nanorobots, which require intricate and precise designs to function effectively in complex environments such as biological systems.6062

Recently, over the years, the TPP fabrication technique has been explored for the fabrication of micro/nanorobots with applications in minimally invasive surgery, targeted drug delivery, and other biomedical applications. Palagi et al. developed a microswimmer that navigates through viscous biological fluids driven by light-induced stimuli. These microswimmers, fabricated using TPP, exhibit high portability and can be steered with great accuracy.63 Furthermore, researchers integrate functional materials into TPP for fabricated micro- and nanorobots. Incorporating magnetic nanoparticles allows for the remote control of nanorobots using external magnetic fields, enabling precise positioning and movement within the body.64

Similarly, incorporating fluorescent dyes or quantum dots facilitates real-time tracking and imaging of nanorobots, which is crucial for monitoring their behavior and interactions in vivo.65 Haken et al. fabricated a biodegradable microswimmer for theragnostic cargo delivery and release to specific sites within the body. These microrobots are designed to degrade after execution of their function, minimizing probable long-term side effects. They exhibited the accuracy of TPP in creating complex, biodegradable structures that can navigate the body’s complex vascular system, showcasing the method’s potential to revolutionize targeted drug delivery.66 As research proceeds, the combination of TPP with advanced materials and technologies is expected to expand the applications of micro and nano robots, opening new frontiers in medicine, environmental science, and beyond. Table 1 illustrates the recent advancements in fabrication techniques in biomedical applications.

Table 1. Recent Advancements of Fabrication Techniques in Biomedical Applications.

Serial no. Fabrication technique Material used Application of nanorobots Refs
1 Photolithography Photoresist High-resolution patterning for microfluidic devices (67)
2 Electron-beam lithography Polymers, metals Analyte sensing and cellular dynamics (68)
3 X-ray lithography Poly(methyl methacrylate) (PMMA) Enhanced precision for MEMS applications (69)
4 Soft lithography Polymethyldisiloxane (PDMS), SU-8 Rapid prototyping for microfluidics (70)
5 TPP Photopolymer resins 3D nanostructures with submicron resolution (71)
6 Thin film deposition Metal oxides, polymers Atomic layer deposition for ultrathin conformal coatings (72)
7 Chemical etching Silicon X-ray imaging and spectrum detection systems (73)
8 Bioinspired fabrication Biomimetic hydrogels, peptides Self-assembling nanorobots for biocompatible applications (74)
9 Laser ablation Metals, ceramics High precision in creating nanotextured surfaces (75)
10 3D Printing Polymers, bioinks Bioprinting of organ-on-chip systems (76)
11 Inkjet printing Conductive inks, biomaterials Flexible electronics and sensors for healthcare (77)
12 Electrospinning Polymers, nanofibers Production of nanofiber scaffolds for tissue engineering (78)
13 Self-assembly Lipids, polymers Nanorobots for drug delivery through guided assembly (79)
14 Focused ion beam lithography Metals, semiconductors Nanosculpting for device customization (80)
15 Micromolding Thermoplastics, PDMS Creation of microscale implants (81)
16 Electrochemical deposition Metals, conductive polymers Development of electrochemical sensors (82)
17 Sol–gel process Silica Controlled porosity for drug delivery vehicles (83)
18 Plasma etching Silicon, polymers Enhancement of surface properties and device performance. (84)
19 Nanoimprint lithography Thermoplastics, resists Reduced membrane befouling, enhanced device performance (85)
20 Magnetron sputtering Metal films Enhanced mechanical and optical properties (86)

3. Actuation of Nanorobots

Micro/nanorobots are an emerging robotics field that has grown quickly in the last several decades. Macroscale robots can only be used in certain situations, such as small-space tasks. Feynman87 initially proposed employing microrobots in medical care in 1959. It has been suggested that human bodies may be implanted with nanorobots, which could kill different diseases and proliferate themselves. Scientists are becoming more and more excited about the field of micro- and nanorobot research. Micro/nanorobots and biomedicine can tackle issues that conventional medicine cannot address, and this combination is predicted to spark a new medical revolution. As a result, researchers and scientists are still investigating and studying micro and nanorobots. However, because of their small size, micro/nanorobots are challenging to create, assemble, and maneuver. They cannot use specific conventional robotic theories and technologies. The micro/nanorobot movement in fluids is in the regime of low Reynolds numbers when an object shrinks to the micro/nanoscale.88 The inertial force is minimal in this situation, and the viscous force is predominant. Because of this, micro/nanorobots require constant power to operate. Micro/nano robots, however, are complex to load with power sources like batteries and engines because of their small size. As a result, actuation technologies have been central to micro- and nanorobot research.

Transforming energy is one approach to operating micro/nanorobots to achieve motion. To carry out work duties flexibly and effectively at the micro/nanoscale, micro/nanorobots can transform magnetic, optical, audio, or other types of energy into kinetic energy or actuation force. Actuation technologies already used for micro/nanorobots can be categorized into two groups based on the various actuation mechanisms. External magnetic, electric, optical, and audio fields are examples of external field actuation. The other is self-actuation, encompassing many techniques such as chemical and biological self-actuation. Micro/nano robots employ various actuation techniques, contributing to their complexity compared to conventional macroscale robots. Research on micro/nanorobot actuation technologies is crucial and profound because the choice of actuation techniques for various micro/nanorobots will directly impact motion.89Table 2 provides a comparative overview of nanorobots based on their type, size, materials, propulsion mechanisms, and biomedical applications. It highlights advancements and variations in nanorobot design and functionality to guide future research and development.

Table 2. Quantified Comparison of Various Nanorobots/Microrobots.

Serial no. Study/author Year Type of robot Size range Material uses Propulsion mechanism Biomedical application Refs
1 Weiden and Bastings 2021 DNA origami 1–10 nm DNA Chemical reaction Controlled drug delivery (90)
2 Zhang et al. 2022 Micro Nanorobots 10–40 nm Lipid-based materials Ultrasound waves Drug delivery to tumor cells (91)
3 Andhari et al. 2020 Multicomponent magnetic Nanorobot. 10–100 nm Magnetic particles Magnetic fields Tumor targeting and destruction (92)
4 Li et al. 2022 Biohybrid micro – nanorobots 50–200 nm Biological tissues, e.g. erythrocytes, leukocytes, microorganisms Microfluidic Performing microsurgeries, targeting diseased cells (93)
5 Ning et al. 2018 Chemically powered robots 5–50 nm Metallic nanoparticles Catalytic reaction Gene therapy (94)
6 Arque et al. 2022 Self-propelled nanomotor 2–20 nm Polymeric Self-electrophoresis Treatment of bacterial infection (95)
7 Huang et al. 2008 Photothermal nanorobot 10–50 nm Gold nanoparticles Photothermal effects Cancer cell ablation (96)
8 Dong et al. 2016 Light-driven TiO2-Au Janus micromotors 15–80 nm Semiconductor materials Light activation Photocatalytic therapy, drug delivery (97)
9 Wang and Zhang 2020 Untethered micro/nanorobots 10–50 nm Titanium dioxide, gold, barium titanate, lipid based materials Acoustic waves Diagnostics imaging, drug delivery, biosensing (98)
10 Li et al. 2022 pH responsive nanoparticle 20–100 nm pH sensitive polymers pH changes Programmable antibiotics release for targeted microbial activity (99)
11 Sanchez Moreno et al. 2018 Thermal-sensitive nanoparticles 10–60 nm Thermal-sensitive polymers, iron oxide, gold particles Temperature changes Drug delivery, thermal therapy (100)
12 Volpatti et al. 2020 Nanosensors 25–100 nm Carbon nanotubes, platinum, gold Glucose oxidation Glucose monitoring in diabetes patients, insulin delivery (101)
13 Kushwaha et al. 2022 Biodegradable nanorobots 10–50 nm Zinc oxide, silver, gold, biodegradable polymers Enzymatic degradation Wound healing by the generation of reactive oxygen species, bacterial tidal effect by the materials used (102)
14 Robert D. Crapnell and Craig E. Banks 2021 Nanoparticle-based biosensors 1–100 nm Conductive polymers, gold Electrochemical gradients Biosensing, e.g., for detecting bacterial pathogens (103)
15 Zhou et al. 2021 Electromagnetic micro nanorobots 1–50 nm Electromagnetic materials Electromagnetic fields Surgery, ablation, biopsies, image guided procedures (104)
16 Hortelão et al. 2017 Urease-powered nanomotors (nanobots) 200–300 nm Silica Silica is driven by enzymes like catalase, that respond to H2O2, producing thrust and propulsion for the nanobots For increasing percision of targeting Doxorubicin (DOX) for cancer cells of the bladder (105)
17 Xu et al. 2021 Mg microrobots 5 μm Magnesium core with poly (lactic-co-glycolic acid) (PLGA) and hyaluronic acid layers Chemical propulsion by generation of hydrogen (H2) gas from gastric acid To enhance the delivery and effectiveness of PLGA and hyaluronic acid for ther treatment of rheumatoid arthritis by directly aiming inflamed joint tissues (106)
18 Nguyen et al. 2015 Bacteriobot 800 nm Bacteria (Salmonella typhimurium) and liposome Flagella movement of Salmonella typhimurium and its chemotactic behavior allows it to actively move to and penetrate tumor cells using chemical gradients of the tumor cells For increased penetration as well as targeted and controlled release of paclitaxel for breast cancer cells (107)
19 Li et al. 2016 PEDOT/Au microrobots 5 μm Enteric coated magnesium core Chemical propulsion by generation of H2 gas in acidic pH and self-propulsion at neutral pH For target deliver of magnesium to the intestine (108)
20 Wang et al. 2022 Pt-coated mesoporous silica 200–300 nm Gold nanorods in silica shell Thermophoretic self-propulsion and biological chemotaxis Form improvement if drug delivery and penetration of cisplatin in treatment of colorectal cancer (109)
21 Wu et al. 2021 Silica nanobottle (Si NB) robots 200 nm Chitosan coated zinc core Chemical propulsion by generation of H2 gas from gastric acid For effective delivery of clarithromycin for treating stomach ulcers and even cancer (110)
22 Karshalev et al. 2019 TiO2/PLGA/Fe-Se@chitosan-coated Mg microspheres 5 μm Magnesium core with iron oxide, eudragit and gold layers Chemical propulsion by generation of H2 gas from gastric acid For targeting of iron and selenium to the intestine (111)
23 Park et al. 2019 Degradable hyperthermia microrobot (DHM) 40 μm Silica core with magnetite nanoparticles (Fe3O4), drug loaded gelatin methacryloyl and PLGA Magnetic actuation For aiming 5-fluorouracil (5-FU) to cancer cells and inducing hypothermia in cancer cells (112)
24 Villa et al. 2018 Superparamagnetic/catalytic microrobots (PM/Pt microrobots) 5 μm Paramagnetic polystyrene bead core with functionalized surface and platinum coating Oxygen bubbles generated from decomposition of H2O2 from platinum coating and magnetic field actuation. To enhace the specificity and reduce the sytemic side effects in delivering DOX to breast cancer cells (113)
25 Wei et al. 2019 Biomimetic micromotor toxoid 20 μm Magnesium core with erythrocyte membrane coating, loaded with ovalbium Chemical propulsion by generation of H2 gas from gastric acid To improve the delivery and effectiveness of staphylococcal α-toxin and other therapeutic agents via oral route into the small intestine (114)
26 Kim et al. 2020 Retrievable intraocular bilayer hydrogel microrobot 200 μm Fe3O4 nanoparticles with an upper layer of poly(N-isopropylacrylamide) and a lower layer of carboxymethyl cellulose (CMC) Magnetic field actuation For delivery of drugs in treating intraocular conditions and retrieval of nanoparticles from the eyes, postsurgery for monitoring treatrment (115)
27 Yan et al. 2015 Porous hollow helical microswimmers 5–8 μm Fe3O4 nanoparticles with a porous and hollow helical shell having a biocompatible coating Magnetic actuation of the helical microswimmers Spirulina, not specified (116)
28 Alapan et al. 2018 Soft erythrocyte-based bacterial microswimmers 6–8 μm Erythrocyte membranes to which E. coli bacteria has been attached Magnetic actuation along with, flagella movement of E. coli For targeted delivery of doxorubicin to cancer cells (117)
29 Peng et al. 2018 Poly (ethylene glycol)-b-polystyrene (PEG-PS) polymersome-based Janus nanomotors 300 nm Platinum core, functionalized with polyethylene glycol (PEG) Oxygen bubbles generated from decomposition of H2O2 from platinum coating For therapeutic penetration and delivery of fluorescein sodium salt to the endothelium of cancer cells (118)
30 Wan et al. 2019 Nitric oxide nanomotors 80 nm Mesoporous silica nanoparticles (MSNs) with manganese dioxide (MnO2) and biomimetic cell membrane layer, derived from red blood cells Generation of gas bubbles by the decomposition of nitric oxide on the MnO2 surface of nanparticle For target delivery of nitric oxide to various cells including joint muscle cells and cancer cells (119)

3.1. External Field Actuation

Applying external forces to regulate the motion and functionality of nanorobots is known as external field actuation. This technique uses different fields, such as light, acoustic, electric, or magnetic, to power and guide nanorobots inside the body remotely. Because they can precisely manage their depth of tissue penetration and allow focused navigation across complex biological contexts, magnetic fields are very desirable. Acoustic fields provide propulsion through ultrasonic waves, whereas electric fields can be employed to manipulate nanorobots using electrophoresis or dielectrophoresis. Photons are used in light-driven actuation to create movements, offering excellent temporal and spatial resolution. External field actuation is critical in applications like targeted medication delivery, microsurgery, and sophisticated diagnostic procedures requiring precise control and low invasiveness.

3.1.1. Magnetic Field Actuation

In an electromagnetic system, the electric field is mainly used to produce an external magnetic field, which is then used to actuate the nanorobot/microrobot. This external magnetic field can regulate the nano robot’s movement and function, facilitating accurate navigation and task performance in a biological setting. This mechanism is essential to the efficient functioning of magnetic field-actuated nanorobots/microrobots because it permits targeted and responsive actuation depending on the characteristics of the magnetic field.120

The field of developing micro/nanorobots that are actuated by magnetic fields has advanced during the past few years. In 2005, Dreyfus and colleagues developed a micro/nanorobot powered by a different magnetic field.121 The robot may move like cilia in microorganisms by applying a steady magnetic field along its horizontal axis and an oscillating magnetic field perpendicular to it. The success of this study provided the groundwork for additional research. Steager et al. constructed a magnetic U-shaped robot that was actuated using five electromagnetic coil controllers to generate a gradient magnetic field. They also presented a magnetically actuated robotic system that can automatically manipulate cells and microbeads. A U-shaped pattern is created by photolithography when magnetic nanoparticles and photoresists are combined uniformly to create a magnetic U-shaped robot. Using a gradient magnetic field, the robot might autonomously pick up and move chemically injected microbeads to particular areas within neurons, perhaps serving a purpose in targeted medication administration.122 With one passive gold segment serving as the caudal fin, two active Ni segments serving as the body, and one passive gold segment serving as the head, Li et al. created a fish-shaped magnetic actuation micro/nanorobot that was coupled via a flexible porous Ag structure. How the robot swims in response to a plane oscillating magnetic field is remarkably similar to how fish move. As a result, the robot can travel at relatively high speeds and has good propulsion efficiency. It has proven possible to achieve a maximum speed of 30.9 μm/s, or a dimensionless speed of 0.6, by employing an 11 Hz oscillating magnetic field.49Figure 3 depicts the Magnetically powered micromotors for targeted cargo delivery.

Figure 3.

Figure 3

(A) Fe-coated camptothecin-loaded magnetic tube for killing HeLa cells. White circles highlight dead cells. (B) Controllable navigation and targeted transport of antibodies inside blood flow by using Janus micropropellers. (C) Sperm-based MagRobots are capable of delivering heparin-loaded liposomes through flowing blood. (D) pDNA transfection by human embryo kidney cells when in targeted contact with helical microrobots loaded with plasmid DNA. (E) Released drugs from hydrogel-based microswimmer for active labeling.

After completing the design, Li et al. focused on creating a symmetric multilinked two-arm nano swimmer, or freestyle swimmer-type, of magnetically actuated micro/nanorobots. This type of nano swimmer comprises two Ni arm segments and a central Au body segment joined by flexible porous Ag hinges. The robot swings symmetrically thanks to the flexible porous Ag part. The robot’s two arms may swing in different directions under the influence of an oscillating magnetic field by magnetizing the Ni piece, enabling a freestyle swimming mode. The robot’s speed and orientation may be changed remotely by altering the magnetic field. At 59.6 μm/s, the most incredible speed is comparable to a relative speed of almost 12 body lengths per second. A nonplanar swinging swimming mode was created for the first time using oscillating magnetic fields. Regarding maximal movement speed and propulsion efficiency, the freestyle swimmer micro/nanorobot and the fish-like micro/nanorobot both have clear benefits, with the latter robot outperforming the former.50

The nano eel is a soft hybrid nanorobot created by Mushtaq et al. that resembles an electric eel. It is equipped with a polyvinylidene fluoride copolymer tail that is flexible and intelligent, attached to the head of a polypyrrole nanowire. A Ni ring for magnetic actuation decorates the head. The magnetic head module (Ni–polypyrrole) oscillates in response to an applied alternating magnetic field. The ferroelectric tail bends, and the electric polarization shifts because of the piezoelectric effect. The results of experimental research demonstrate that the nano eel can move from surface walking to three-dimensional swinging and spiralling by varying the strength and frequency of the magnetic field. In addition, the nanoeel may be precisely guided to a particular site for medication release by adding an appropriate magnetic field. Delivering drugs to cancer cells with a magnetic field of 10 mT and 7 Hz is possible. In the drug release mode, the efficiency of killing cancer cells is 35%, whereas in the swimming mode, it is 10%. The research findings statistically validated the feasibility of employing nanorobots for precise medication administration. This will encourage the application of nanorobots in medical settings and lay a strong basis for upcoming studies.123Figure 4 shows the magnetic stimulation of micro/nanorobots for hyperthermia, thermophoresis, and magnetoelectric applications.

Figure 4.

Figure 4

(A) Schematic process of removing cholesterol plaque in the blood artery via the magnetic hyperthermia of nanorobots. (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. (C) Underlying physics of the magnetoelectrically triggered drug (i.e., AZTTP) release process.

Wang et al. created a novel kind of micro/nanorobot that can monitor cancer’s condition to treat it. This robot manipulates living cells with precision using multistage magnetic tweezers. The multistage magnetic tweezers have six magnetic poles and six coils positioned at the top and bottom. The high permeability foil used to make the tip ensures a large magnetic gradient. To make sure the robot is subjected to the force of a three-dimensional magnetic field when entering cells put on the glass slide, the device was mounted on a microscope glass slide. Early cancer detection may be possible with robots that monitor the force between cells. This discovery has new hope for cancer treatment.124

A micro/nanorobot with three-dimensional magnetic actuation was created by Kim et al.125 That can precisely move grown nerve cells to join separated nerve clusters. It can selectively reconstruct neuronal networks in vitro and direct the growth of axons. With its repeatability, selectivity, and exact connection, the micro/nanorobot can serve as a foundation for the targeted transport of nerve cells and the development of active neural networks in vitro, thereby increasing the study of neural networks and neural connectivity. This offers a possible basis for sophisticated artificial neural network programmable models in vitro. Zheng et al. created a sea star-like microrobot whose flexible tentacles can efficiently conform to the outer outlines of any target with autonomous deformation in a liquid environment for gripping and releasing. The design was inspired by the movement process of starfish preying on shellfish. The robot can be operated in a variety of ways, such as by encasing magnetic nanoparticles inside its body or by capturing magnetic microspheres.126

3.1.2. Electric Field Actuation

Robots that are micro- or nanoscale can be activated by external electric fields. In general, magnetic and electric fields are inseparable, yet there are situations in which they can change into one another. An innovative kind of micro robot without intricate mechanical components was created by Jeong et al. There were two suggested actuation systems. The first uses a pair of Helmholtz and Maxwell electric coils to power microrobots electromagnetically. The second is medication release by acoustic bubble actuation. This suggests the new microrobot will find applications in other biomedical domains and targeted drug delivery.127 A theoretical proposal of a nanorobot with four single-stranded DNAs and a nanoparticle positioned atop a quad-nanopore device for motion control was presented by Si et al.128 When an electric field is applied, the nanopores may sequentially pick up each of the robot’s four single-stranded DNAs.

To more efficiently actuate micro/nanorobots, Qu et al., who also wished to research electromagnetic fields in the application of micro/nanorobots, employed finite element methods to mimic the magnetic field generated by a coil assembly. The study’s findings offer benchmarks for the use of electromagnetically powered micro- and nanorobots.129 Actuation can also be produced by adding conductive materials to a micro or nanorobot and then modifying the robot’s surface charge or the electrochemical reaction at the interface using electric fields. A microelectrode device with interdigitation was proposed by Zhang et al.130 Also, Guo et al.’s technique involved applying alternating current (AC) and direct current (DC) electric fields to a three-dimensional orthogonal microelectrode device to control nanomotors.131Figure 5 depicts the electrically stimulated artificial muscles using electrically controlled magnetic nanorobots (MNRs).

Figure 5.

Figure 5

(A) The structural similarities and differences between natural and artificial muscles. (Adapted with permission from ref (132). Copyright 2021, Microsystems and Nanoengineering.) (B) Polarized optical microscope of liquid crystal formation observed at 45° angles concerning cross-polarizers (top) and scanning electron microscope image of an electrographite flake (bottom). (C) The shape deformation of artificial muscles during relaxation and contraction. (Adapted with permission from ref (133). Copyright 2022, Springer Nature.)

3.1.3. Light Field Actuation

The discipline of micro and nanorobotics has seen a notable increase in the use of light as an actuator, indicating its extraordinary potential for various applications, such as drug release mechanisms and theranostics. Light actuation uses the unique qualities of light, namely its high accuracy, noncontact nature, and small-scale object manipulation capabilities, to provide precise control over micro and nanorobots. These capacities have sparked innovative methods in other fields, including biomedical research.134

Micro/nanorobot movement and functionality are controlled by light field actuation, which uses several different concepts. One such idea is the photocatalytic reaction, in which light energy causes chemical reactions on the nanorobots’ surface that propel them forward or activate particular functionalities.120 Another necessary process is the photothermal effect, which produces localized thermal gradients that can propel the nanorobots by light absorption and subsequent conversion to heat. In biomedical applications, these effects are used to enable precise control and targeted actions.135 In recent years, notable progress has been made in creating light-field-actuated micro/nanorobots. Researchers have investigated a variety of light-responsive materials and techniques to enable controlled actuation and navigation of these microscopic robots in biological contexts.

A liquid metal gallium nano swimmer in the shape of a needle that can move in a controlled manner when exposed to near-infrared laser light was created by Wang et al.136 (Figure 6). Ingeniously, Sato et al.32 created a molecular robot that resembles an amoeba and uses particular photoresponsive DNA signaling molecules to regulate the robot’s movement. Unlike previous nanorobots, this robot is made solely of chemical and biological materials. This work effectively replicated the motion of cells and offered a strong foundation for the advancement of molecular robotics.137 A novel kind of electrochemical actuator was studied by Miskin et al.138 It has a controlled voltage, works with current silicon electrical devices, and can cause a robot to move.

Figure 6.

Figure 6

A) A controlled, needle-like LMGNS that moves when exposed to NIR laser. Reproduced with permission.136 Copyright 2021, Elsevier. B) B-TiO2/Ag nanorobot fabrication and characterization. Reproduced with permission.139 Copyright 2022, Wiley-VCH. C) Schematic of The Pt NP-modified polyelectrolyte multilayer manufacturing process of micro engines. Reproduced with permission.140 Copyright 2014, American Chemical Society. D) Schematic illustration of DOX-functionalized carboxy betaine microrobots for UV-light-triggered drug release and an example for the drug release demonstration. Reproduced with permission.141 Copyright 2020, Wiley-VCH.

3.1.4. Acoustic Field Actuation

Sound at a frequency higher than the upper threshold of human hearing is known as ultrasound. Robots can move due to the pressure difference created by an asymmetric robot body structure in an ultrasonic field or the ultrasonic bubble-gathering effect produced by external ultrasonic fields. By using template electrodeposition, Wang et al. produced metal rod-shaped micro/nanorobots in batches. With the ultrasonic field’s help, the robots could reach speeds of up to 200 μm/s.142 Another novel ultrasonic actuation mechanism was proposed by Lee et al.143 Drug particle/cell manipulation and micro/nanorobot actuation in clinical biology and medicine were made possible by creating an acoustic radiation force in a standing wave to trap and move particles. A novel technique was presented by Valdez-Garduño et al. that fixes the direction of a micromotor using an external magnetic field and transforms the ultrasound-induced oscillation motion of an asymmetrically dense Janus microstructure into a translational motion. This work offers a fresh approach to developing and using micro/nanomotors with ultrasonic propulsion.144

Focused ultrasound (FU) has been utilized to power and operate a variety of micro/nano robots. To create a focused ultrasonic field, researchers have developed transducers, such as concave, cylindrical, or organized ones, that concentrate MHz waves with high pressure onto a focal point.134 This pressure can evaporate a liquid fuel or trigger a bubble trapped inside a specially built structure. For example, when exposed to a high-intensity FU beam, perfluorocarbon (PFC) emulsions can be caused to evaporate quickly. This procedure is called vaporization of acoustic droplets (Figure 7).

Figure 7.

Figure 7

A) Convert porphyrin nanodroplets into PFC microbubbles by phase transition. Used by permission.145 Copyright Wiley-VCH, 2016. B) A PFC-powered microcannon that fires NBs. Used by permission.146 Copyright The American Chemical Society. All rights reserved. C) Experimental design of fluorescein isothiocyanate-labeled mesoporous silica nanoparticle delivery via ultrasound-mediated cavitation-enhanced extravasation in the agarose phantom model. Used by permission.147 Copyright Elsevier 2018.

3.2. Self-Actuation

Nanorobots that are self-actuating move and operate independently at the nanoscale using internal mechanics. These small robots use a variety of energy sources, including light, magnetic fields, and chemical reactions, to propel themselves and carry out specified activities without the need for outside control. This capacity is critical for applications requiring precise and controlled movements at the nanoscale, such as targeted medication administration, medical diagnostics, and environmental monitoring. A significant achievement in nanotechnology is the creation of self-actuating nanorobots, which allow for more complex and effective molecular interactions.

3.2.1. Chemical Self-Actuation

Creating an asymmetric field, such as bubble recoil or concentration gradients, is the fundamental component of chemical self-actuation, which allows a micro- or nanorobot to break its static equilibrium and begin to move. In 2002, Whitesides et al.148 created the first micro/nanoscale self-actuation robot. This micro/nano robot’s terminal was fitted with a Pt-plated porous glass filter, which can produce a lot of O2 through the breakdown of H2O2 on the Pt surface and create an actuation force to push the robot at the point where the H2O2 solution and air meet. Through an oxidation–reduction reaction, this mechanism transforms the chemical energy in the surrounding environment into kinetic energy. As the first self-actuation micro/nanorobot, despite its limitations, its design served as a source of inspiration and ideas for further study.

Based on prior studies, Bao et al. creatively created a V-shaped micro/nanorobot composed entirely of Pt. The nanorobot can sustain rotation and follow a stable course because it is powered by oxygen molecules produced during the breakdown of H2O2.149 A z-shaped Au/Pt hybrid self-actuation micro/nanorobot for cancer treatment and targeted drug delivery systems was proposed by Chen et al.150 Self-electrophoretic actuation serves as its foundation. Subsequently, Chen et al. created a z-shaped Pt hybrid nanorobot to satisfy the biomedical industry’s increasing need for micro/nanorobots. Focused ion beam and plasma sputtering were employed in its production, and the robot’s actuation system is self-electrophoretic.151

A micro/nanorobot based on Pt catalysis was created by Xu et al. (Figure 7c). It can be controlled by an electric mechanism that breaks down H2O2. Xu investigated the motion behavior of the number of rotations by using a chemical vapor deposition technique to create a large number of helical molecule chains.152 To combat dental plaque and other oral health issues, Villa et al. developed a self-actuated tubular microrobot that combines reactive chemicals that grow on the surface of the biofilm with microbubbles.153 How proteins move molecularly in animal cells inspired scientists to use enzymes as catalytic engines, utilizing chemical reactions to power micro/nanorobots. Enzyme actuation provides a superior development possibility and uses biocompatible fuels compared to conventional chemical self-actuation techniques. Antimicrobial Peptides (AMP)-coated bioactive micro- and nanomotors for autonomous infection therapy are schematically illustrated in Figure 8.

Figure 8.

Figure 8

A). The urease micro- and nanomotors’ AMP-coating technique allows for independent propulsion of the motors, which can target pathogenic infections in vivo and in vitro. Used by permission.154 The American Chemical Society. Copyright 2022. B) Au–Pt bimetallic nanorod in an aqueous H2O2 solution driven by a self-electrophoresis process. Used by permission.155 All rights reserved by Wiley-VCH, 2018. C) Diagram showing the catalytic helical carbon motor system’s propulsion. Used by permission.156 D) Diagrammatic representation of the production processes for reversed Janus motors and the different mobility scenarios. Copyright 2019, Wiley-VCH. Used by permission.157 The American Chemical Society. All rights reserved. E) SMMC and SMMF optical pictures show how pH variations cause the fins and claws to open and close. Reproduced with permission.158 Copyright 2021, American Chemical Society.

DNA nano switches and urease-powered micromotors were paired by Patino et al. to accomplish swimming and pH value sensing.159 Wang and colleagues44 developed a lipase-based nanomotor. Lipase serves two purposes in this instance. First, it can be used as a power engine by utilizing triacetin as fuel and a catalytic reaction to achieve particle diffusion. Within 50 min, the second feature, an active cleaning function, can break down triglyceride droplets by almost 98%. This has much promise for use in biomedicine and can be utilized to treat disorders linked to triglycerides.160

3.2.2. Biological Self-Actuation

Suitable biological materials, such as the flagella or cilia of swimming microorganisms, are actuators of micro/nanorobots, drawing inspiration from nature. In a solution of water and glucose, Behkam and Sitti161 suspended droplets of bacteria, including E. coli and polystyrene. To prepare micro/nanorobots, Magdanz et al.162 suggested using spermatozoa-bearing flagella as an actuation force. Researchers have made magnetically navigated, ultrasonically propelled red blood cell (RBC) micromotors in the whole blood (Figure 9a). The robot moves when sperm cells and nanotubes are combined because the sperm flagella’s swing interacts with the microtubes. Sperm-driven micro/nanorobots (Figure 9b) are anticipated to emerge as a potential tool in artificial insemination and other reproductive technologies because of the spermatozoa’s superior motility and safety benefits over bacteria (Figure 9c) and other microorganisms.

Figure 9.

Figure 9

(a) Schematic illustration of magnetically navigated, ultrasonically propelled RBC micromotors in the whole blood. Reproduced with permission from reference (165). Copyright 2014, American Chemical Society. (b) Sperm flagella-driven microbiorobots. Reproduced with permission from reference (162). Copyright 2013, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim. (c) Bacteria-driven microswimmers based on PEM-MNP microparticles attached to E. coli MG1655 bacteria. Reproduced with permission from reference (166). Copyright 2017, American Chemical Society. (d) Magnetically guided, bacterially driven RBC microswimmers for active drug delivery. Reproduced with permission from reference (167). Copyright 2018, Science Robotics.

Martel47 discovered that no information regarding the use of MC-1 magnetotactic bacteria (MTB) in cancer treatment, particularly as an additional strategy to spread into tiny capillaries, had been included in earlier research. Therefore, Martel devised a novel method for pushing medicinal chemicals and microbeads together for targeted therapy by combining ferromagnetic materials with the magneto tactic bacteria MC-1 and magnetically guided, bacterially driven RBC microswimmers for active drug delivery (Figure 14d). This study’s findings suggest that using magnetotactic bacteria to treat cancer is a successful strategy.163 Xing et al. developed an intelligent micro/nanorobot known as an AI microrobot using marine-derived magnetotactic bacteria (AMB-1) as a template.164

Figure 14.

Figure 14

(A) MRI of microrobot swarms in rat stomach tissue after magnetic actuation over time. Reproduced with permission from ref (169). Copyright 2017, Science Robotics. (B) The image-guided theranostic platform combining magnetic particle imaging and localized hyperthermia in a U87MG xenograft mouse shows superparamagnetic nano robots in the liver and tumor. Reproduced with permission from ref (212). Copyright 2018 ACS. (C) In vivo fluorescence of spirulina-based MagRobots in mouse intraperitoneal cavity over time. Reproduced with permission from ref (169). Copyright 2017, Science Robotics. (D) Ultrasound tracking of MagRobot swarm generation in a bovine eyeball. Reproduced with permission from ref (213). Copyright 2019 Nature. (E) Real-time tracking of microrobots in phantoms using multispectral optoacoustic tomography actuated by a permanent magnet. Reproduced with permission from ref (214). Copyright 2019 ACS. (F) SPECT images of radiolabeled microrobots in an Eppendorf tube and mice. Reproduced with permission from ref (215). Copyright 2019 Wiley-VCH.

4. Use of Nanorobots in Medical Applications

Due to their precise and varied capabilities, nanorobots are transforming medical applications. Nanorobots can deliver drugs directly to damaged cells through targeted drug delivery, reducing side effects and increasing therapy effectiveness. These tiny devices navigate through the body to conduct complex tasks with less harm and faster recovery times during minimally invasive surgery. By serving as contrast agents, nanorobots in biomedical imaging increase the resolution and precision of diagnostic scans, facilitating the early and precise diagnosis of disease. Furthermore, nanorobots can detect biomarkers and other molecular signals with great sensitivity in biosensing, making it easier to diagnose diseases early and monitor physiological states in real time. In addition to cancer therapy and tissue engineering applications, nano and microrobots hold a significant place. These uses demonstrate how revolutionary nanorobots may improve patient care and medical research.

4.1. Target Drug Delivery

Targeted cargo delivery is one of the most significant medical uses for nanorobots that can transform what is considered the pinnacle of medical practice. Systemic pathways and local diffusion provide limited delivery and distribution efficiency; however, active navigation of immensely concentrated diagnostic and therapeutic substances to the site of action may overcome them. Thus, it could limit systemic toxicity’s impact by maximizing the cumulative effectiveness of single-dose delivery. A nanorobot must have these abilities to succeed and efficiently implement targeted drug delivery strategies. Positional control: The nanorobot must be capable of actively moving and directing concentrated products, e.g. drugs, imaging contrast compounds, siRNA, cells, vaccines, etc., and reduce the inaccurate distribution by maintaining the cargo throughout its journey up until getting to the designated site; (3) Temporal control: The therapeutic discharge need to be configurable and activated via environmental or outwardly regulated stimulation to ensure the nanorobot can offer a refined and maintained therapeutic window. About these needs, actuation and manipulation techniques, the nanorobot’s material design, cargo unloading plan, and biodegradable qualities become crucial ideas in a delivery nanorobot.168 The correct body form with porousness in the material may accomplish focused cargo loading. Porous hydrogel networks in a nanorobot may very efficiently store significant volumes of diagnostic and therapeutic products.66 After achieving the objective, the nanorobot should disintegrate in a suitable period in its specific physiological milieu to avoid a foreign body response.66,169 Autodelivery of diagnostic and therapeutic product varieties with customizable kinetics using environmental detection of local signals, e.g. disease indicators, may allow nanorobotic diagnostics and therapies in a meticulously performed and configurable operation.66 Also, nanorobots may be externally actuated by employing light to deliver products in specified temporal patterns170–translational prospects. To extend life expectancy through the advancement of medication delivery systems, drug development and delivery have shifted from the micro to the nano level during the previous few decades (Figure 10).

Figure 10.

Figure 10

Diagram showing how conventional drugs were supplied without using nanocarriers, causing damage to cells or organs that were considered healthy. By contrast, current techniques use nanorobots to deliver drugs to targeted body areas.

In stomach tissue, acidic conditions are frequently employed to promote medication administration, such as encouraging the propulsion of nanorobots via hydrogen generated by the interaction of metals with hydrogen ions. Esteban-Fernández de Ávila et al. devised a Mg-based micro robot filled with clarithromycin (CLR) for treating mice having stomach infection.171H. pylori-infected mice were orally treated with nanorobots to cure stomach infections. The findings indicated that the CLR-loaded nanorobots group decreased about 1.8 times the magnitudes of the H. pylori load over the negative control group (treated using deionized water or microrobot with no CLR). The scientists established this approach’s safety and nontoxic properties in mice along with the therapeutic efficacy. A comparable Zn-based microrobot was similarly constructed by Gao al (Figure 11).172 Utilizing gold nanoparticles (AuNPs) as a model medication, microrobots could effectively administer and maintain the drug in the mice’s stomachs at a rate more than three times higher than that of the oral NPs group. Mice injected with nanorobots had their stomach tissue sections examined to verify the devices’ safety. Figure 11 shows the motile drug delivery by biocompatible fuel-powered MNR, and Figure 12 depicts the motile drug delivery by biocompatible fuel-powered MNRs.

Figure 11.

Figure 11

(A) Zinc-based micromotors driven by acid for improved retention in the mouse stomach. (Adapted with permission from ref (172). Copyright 2015, American Chemical Society.) (B) To avoid the acidic stomach environment and instead selectively position and propel spontaneously within the gastrointestinal tract, an enteric micromotor coated with a pH-sensitive polymer barrier (enteric coating) is used. (Adapted with permission from ref (173). Copyright 2016, American Chemical Society.) (C) Regulated swimming of a swarm of microrobotic flagella that resemble bacteria in vivo (Adapted with permission from ref (174). Copyright 2015, John and Wiley.) (D) Drug-containing nanoliposomes are delivered to tumor-hypoxic areas by magneto-aerotactic motor-like bacteria. (Adapted with permission from ref (175). Copyright 2016, Springer Nature.)

Figure 12.

Figure 12

(A) Macrophage-magnesium biohybrid micromotor. (Adapted with permission from ref (176). Copyright 2019 John Wiley and Sons.) (B) Bacteriophage virus-like nanoparticles (QβVLPs)-loaded Mg-based micromotors. (Adapted with permission from ref (177). Copyright 2020, John Wiley and Sons.) (C) Mg-Fe3O4-based magneto-fluorescent nanorobot. (Adapted with permission from ref (178). Copyright 2021, Springer Nature.) (D) Poly(aspartic acid)/iron–zinc microrockets. (Adapted with permission from ref (179). Copyright 2019, American Chemical Society.) (E) Calcium carbonate micromotors. (Adapted with permission from ref (180). Copyright 2016, Springer Nature.) (F) NO-driven nanomotors (Adapted with permission from ref (119). Copyright 2019, Springer Nature.)

Wu et al. achieved deep imaging of the microrobotic system in the intestines using photoacoustic computed tomography (PACT) technology.181 To create a micromotor capsule, the outside of the magnesium-based micromotors was coated with enteric coating. As the capsule entered the gut, near-infrared red (NIR) caused it to undergo a phase change, which allowed the capsule shell to break and release the micromotors. The chemical interaction between magnesium and H2O powers the micromotor. The medications were released gradually as the nanorobots disintegrated. Dox was successfully transferred to the mice’s gut via the micromotors’ alginate layer.

Blood presents more significant mobility barriers for micro/nanorobots than other bodily fluids since it contains many free-moving cells and other materials. By using the chemical interaction between tranexamic acid and carbonate, Baylis et al.182 developed self-propelled particles. In mice and pigs, blood vessel bleeding was stopped using thrombin adsorbed on porous particles. The studies demonstrated that this device could supply thrombin for hemostatic therapy and flow steadily through the circulation. For intravascular medication administration, novel model microrobots, such as sperm micromotors183 and multifunctional surface micro rollers184 have also been developed recently. Studies on medication delivery to tumors, the eyes, and other locations are also being conducted.

Because of problems with undesirable drug buildup and nanoparticle biodistribution, finding a balance between therapeutic efficacy and negative effects on healthy tissues is a barrier to the clinical adoption of nanoscale agents for targeted therapy—an intravascular catheter developed by Iacovacciet al.185 is suggested because it may effectively remove magnetic nanocarriers that are not helpful to therapy from the bloodstream, reducing their uncontrollably dispersed dispersion and potential side effects. The device is a tiny module fitted into a 12-French catheter used in therapeutic settings. It is based on 27 permanent magnets grouped in two coaxial series. When 500 and 250 nm nominal diameter superparamagnetic iron oxide nanoparticles are utilized as carriers, this device can catch approximately 94% and 78% of the unused agents, respectively. Table 3 shows the different types of nanomaterials used in target drug delivery.

Table 3. Different Types of Nanomaterials, Fabrication Method, Target Drug Name, and Location of Target Site.

S. no Nanomaterial Fabrication Method Target Drug Location of targeted site Refs
1 Urease-powered nanomotors (nano robots) 4D printing DOX Bladder cancer cells (105)
2 Bacteri robot Biohybrid fabrication Paclitaxel Breast cancer (107)
3 Light-responsive polymers Photoinitiated polymerization Curcumin Inflammatory sites (186)
4 Drug-loaded NIR-driven nano robots Magnetic field-assisted synthesis Paclitaxel Blood vessels (187)
5 PEDOT/Au micro robots Electrodeposition, enteric polymer coating Magnesium Intestine (108)
6 Mg/TiO2/ PLGA microrobots Asymmetric coating Clarithromycin Stomach (171)
7 TiO2/PLGA/Fe-Se@chitosan-coated Mg microspheres Ionic gelation Iron and selenium Intestine (111)
8 Pt-coated mesoporous silica Asymmetric coating Cisplatin colorectal cancer (109)
9 Mg microrobots Asymmetric coating PLGA and hyaluronic acid Bone (188)
10 DHM Magnetic field-assisted synthesis 5-FU Cancer cells (112)
11 Superparamagnetic/catalytic microrobots (PM/Pt microrobots) Magnetic field-assisted synthesis DOX Breast cancer cells (113)
12 Mg-based micro robots Asymmetric coating Dexamethasone Bone (188)
13 Biomimetic micromotor toxoid Atomic layer deposition (ALD) Staphylococcal α-toxin Small intestine (114)
14 Microcapsules (encapsulated micro robots) Embedding method with layer-by-layer deposition DOX Colon cancer cells (181)
15 Silica nanobottle (Si NB) robots Asymmetric chemical synthesis method Clarithromycin Stomach (110)
16 Retrievable intraocular bilayer hydrogel microrobot Photocuring of PDMS mold through UV exposure DOX Eye (115)
17 Porous hollow helical microswimmers Biotemplated synthesis Spirulina Not specified (189)
18 Soft erythrocyte-based bacterial microswimmers Attachment of drug-loaded RBCs to E. coli MG1655 via biotin-avidin-biotin binding complex DOX Cancer cells (117)
19 Poly(ethylene glycol)-b-polystyrene (PEG-PS) polymersome-based Janus nanomotors Electron beam evaporation Fluorescein sodium salt Endothelium of cancer cells (118)
20 Nitric oxide-nanomotors Not specified Nitric oxide Various cells including joint muscle cells and cancer cells (190)

4.2. Minimally Invasive Surgery

The field of robotics-assisted surgery, defined as “the use of a mechanical device to assist surgery in place of a human-being or in a human-like way”191 is gaining ground on several standard general surgical procedures, particularly minimally invasive surgery.16 Currently, the surgical field uses three primary kinds of robotic systems. Active, semiactive and master–slave systems. Active systems carry out preprogrammed duties and operate independently (under the supervision of the operating surgeon). The PROBOT and ROBODOC systems are notable instances of this. In addition to these robot systems’ preprogrammed components, semiactive systems provide a surgeon-driven component. Formal master-slave systems, of which the ZEUS and da Vinci platforms were the predecessors, do not have any setup or succinct reviews of how robotics may improve autonomous surgery components of other systems. They are entirely reliant on surgical action. Surgeon hand motions are relayed to laparoscopic surgical equipment, which accurately duplicates surgeon hand activity but intracorporeally. Since they traded world records and advanced the boundaries of minimally invasive surgery, these two competing systems, da Vinci and ZEUS have dominated the area of robotic surgery for some time.

The three-armed ZEUS platform used the speech-activated Automated Endoscopic System for Optimal Positioning (AESOP) camera system. Its three arms were divided into two for holding surgical equipment and one for holding the camera. A three-to-four-armed system was depicted by the da Vinci platform, with a binocular lens (for three-dimensional vision) held by the center arm. More important, however, could be the ability of the surgical tools attached to the cart’s remaining arms to be moved in seven different ways at the wrist. It was a unique marketing factor and an invention that eventually proved vital in the future supremacy of the da Vinci platform year Carpentier et al. (also employing the da Vinci platform) completed a mitral valve replacement–notably making use of the revolutionary “wristed” devices for the first time. In 1998, a Fallopian tube reanastomosis was carried out with the ZEUS technology. At the London Health Sciences Centre in Ontario, Douglas Boyd and associates performed the first closed-chest beating-heart cardiac bypass surgery the following year. The same team then executed a heart revascularization surgery, again utilizing the ZEUS platform. The year 2001 saw the use of the ZEUS system in a transatlantic cholecystectomy, with the patient residing in Strasbourg, France, but the operational surgeon doing the surgery in New York. The ZEUS and da Vinci systems were combined after the merger of Computer Motion and Intuitive Surgical in 2003. Consequently, the da Vinci platform became the focus of further advancements and modifications, and it has dominated the robotic surgery field for over ten years.192195

With the use of endoscopy or robot-assisted surgery, the risks associated with radical procedures have been decreased, postoperative patient morbidity has been minimized, recuperating periods have been cut short, and centimeter-sized incisions have been reduced to millimeter-sized key holes.196 The notion of minimally invasive surgery may be extended to highly tiny, targeted, and controlled physical harm as a curative therapy paradigm via remote microscopic manipulation.197 Nanorobots can remove blockages in the ductal and urinary systems and drill through blood clots in the circulatory system to restore normal flow conditions.198200 Millimeter incisions or fenestrations may be performed by configured robots, going beyond luminal modifications. Malignant tumors in delicate areas, including the central nervous system (CNS), may be removed with great precision and mechanical force, which can have significant medical implications. The nano robots’ soft carrier compartment may release drugs or disintegrate enzymes locally to remove any debris left behind after hard drilling. Additionally, nanorobots may be used in obstructive procedures to maintain lumen openings or as semi or permanent implants in the luminal organs. Certain obstructions might require the nanorobots to remain quiescent inside the body until a local corrective operation needs to be conducted. Figure 13 shows the nanorobots used in minimally invasive surgery.

Figure 13.

Figure 13

(A) Schematic and experimental images (inset) depict rolled-up magnetic microdrillers with a sharp end penetrating a pig liver postdrilling motion. (B) Schematic of a driller operating in a 3D vascular network and experimental results showing the driller dislodging a blood clot. (C) The movement of an Au/Ag/Ni surface walker under varying frequencies of a transversal rotating field shows the magnetic navigation of microrobots penetrating and removing a cell fragment. (D) Magnetic manipulation of Si/Ni/Au nanospheres for targeted intracellular transfection. (E) Penetration of Helicobacter pylori, a helical MagRobot, into mucin gels and mucus liquefaction via enzyme-catalyzed reaction. (F) Long-range propulsion of injected slippery MagRobots in the vitreous toward the retina, aided by a magnetic field and standard optical coherence tomography.

The design and implantation of novel kinds of reconfigurable stents in the circulatory system and luminal organs may benefit significantly from remote control and steering. It is essential to thoroughly evaluate the robustness and biocompatibility of nanorobots in such long-term applications. The execution of such physical surgeries in tissues requires extremely accurate spatial navigation with great dexterity, as well as force and position regulation methods. Additionally, for remote actuation systems to be widely used in clinical settings, they should be affordable for hospitals and provide sufficient penetration force to carry out the intended purpose.168 Miniaturised devices that can administer different drugs, including DNA intracellularly, and open cell membranes with precision to destroy aberrant cells offer exciting prospects for noninvasive surgery. Drilling can be done by nano/microrobots emitting sharp points or moving corkscrew-likely when a rotating magnetic field is applied. With its exceptional precision, the drilling feature holds enormous potential for performing untethered microsurgeries.

Mechanical drilling driven by magnetism allowed microdrillers (tubular Ti/Cr/Fe microdrillers with sharp points) to pierce some pig liver tissue. Cardiovascular disorders may benefit from applying a millimeter-sized magnetic driller that can perforate a blood clot in a simulated thrombosis model environment and navigate through a 3D vascular channel. The surface walkers exhibit exceptional minimally invasive microsurgery capabilities by acting as microscalpels that can penetrate cancer cells, seize a portion of the cytosol, and escape the cells without damaging the cytoplasmic membrane. Using revolving magnets, Au/Ni/Si nano spears functionalized with plasmid could enter U87 glioblastoma cells and distribute the gene (eGFP expression-plasmid) across the cells in a significant area. The locomotion behaviors and application performance of micro/nanorobots in biological environments are influenced by various factors, including crowded biological environments, complex rheology (such as viscoelastic-ity, shear-thinning), interactions with boundaries, hysico chemical and histological barriers (e.g., cell membrane, blood-brain barrier, intestinal mucosal barrier), and others. There have been attempts to take advantage of MagRobots’ ability to actuate in complicated biofluids. For instance, Peer Fischer’s group created a helical micro driller surface functionalized with urease to overcome the mucus barrier. The same group developed magnetic helical micro propellers that could swim inside the biopolymeric network of pig vitreous humor over a centimeter distance while being navigated by a rotating magnetic field and clinical optical coherence tomography to advance toward clinical application. Table 4 shows the different types of nanomaterials used in minimally invasive surgery.

Table 4. Different tYpes of Nanomaterials Used in Minimally Invasive Surgery, Fabrication Method, and Location of Targeted Site.

S. no Nanomaterial Fabrication method Location of targeted site Refs
1 Gold nanoparticles CVD Tumors (201)
2 Silver nanoparticles Laser ablation Blood vessels (202)
3 Quantum dots Molecular beam epitaxy Brain (203)
4 Carbon nanotubes Arc discharge method Lungs (204)
5 Iron oxide Coprecipitation Liver (205)
6 Silica nanoparticles Sol–gel method Kidney (206)
7 Zinc oxide Hydrothermal synthesis Pancreas (207)
8 Polymeric micelles Self-assembly Heart (208)
9 Liposomes Thin film hydration Colon (209)
10 Dendrimers Divergent/convergent synthesis Bladder (210)

4.3. Biomedical Imaging

Numerous applications exist in the medical area for integrating medical imaging modalities with micro/nano robots. Micro/nano robots are useful as carriers for accessing the lesion site and release medications since they may penetrate regions of the body that are not accessible with catheters or other tools. Micro/nano robot placement, tracking, and guiding may be facilitated by medical imaging technology’s reliable and timely pictures. Medical imaging technology may be of considerable assistance in precisely locating and controlling micro/nanorobots inserted into the body. Precision medicine is one of the many medical specialties where the two work well together.211 Zhang’s group reported on the in vivo medical resonance imaging (MRI) tracking of a swarm of microalgae-based helical robots inside the subcutaneous tissues of a mouse stomach, as one sample example depicted in Figure 14.169

The ability to monitor individuals or groups is a crucial clinical advantage of medical micro/nano robots. They can be readily detected and directed throughout the body, and even transmit signals to promote trigger release, therefore their possibility for medical imaging is not to be discounted. For instance, at a penetration depth of 2 mm, the micro/nanorobot is readily discernible in the in vivo environment. Its real-time location in a mouse vein is tracked by optical coherence tomography imaging, which provides information on the micro/nano robot’s movement in vivo.216 An alternative approach involves creating live intestinal micro/nanorobots that are controlled drug carriers and imaging contrast agents using PACT guidance. The micro/nanorobot is equipped with a multilayer functional coating; the Au layer amplifies optical absorption and boosts conveyance rate; the gelatin hydrogel layer increases the load capacity of various operational components; and the polyethene layer preserves the robot’s geometry during motion. Real-time observations of the movement of micro/nanorobot capsules to their designated location are possible due to their excellent space-time resolution, noninvasiveness, outstanding molecular contrast, and superior penetration.181

Furthermore, Iacovacci et al.215 suggested a therapeutic microrobot powered by magnetism and composed of double-layer hydrogels that react thermally. Within the hydrogel frame of the little robot are radioactive chemicals and magnetic nanoparticles that serve as imaging agents. Whereas imaging agents can track micro/nanorobots inside the body, magnetic nanoparticles may be utilized to externally control and initiate shape modifications of microdevices. After the mouse underwent epithelial imaging, the micro/nanorobots were found in the belly of the animal using single-photon emission tomography scanning. The research laid the groundwork for the subsequent creation of single-robot closed-loop control by demonstrating a first: that hydrogel structures as small as 100 μm in diameter may be used to image a single micro/nanorobot. Micro/nanorobots can also use magnetic resonance imaging in addition to photoacoustic. Using a simple immersion method, the spiral microcones robot created from spirulina microalgae in magnetite suspension possesses supersmooth magnetism. Given the benefits of in vivo fluorescence imaging, the spiral robot demonstrated perfect cytotoxicity, natural deterioration, inherent fluorescence, and magnetic resonance signals without modifying its surface. It can track noninvasively in deep organs or superficial tissues using autologous fluorescence and magnetic resonance imaging, and it can traverse steadily in a range of biological fluids. Mice were injected subcutaneously and abdominally, and magnetic resonance imaging revealed the presence of a micro/nanorobot group in their stomachs.169 A particular kind of biohybrid magnetite microrobot that is image-able, biodegradable, and specifically cytotoxic to cancer cells has been reported by Yan et al. MNPs are used in a simple, one-step fabrication process that is economical and appropriate for large-scale production. According to their findings, the synthesized biohybrid microagent may be monitored noninvasively by autofluorescence/MR imaging in either deep organs or superficial tissues and can navigate robustly in various biofluids.169Table 5 shows the nanomaterials used in biomedical imaging.

Table 5. Different Types of Nanomaterials Used in Minimal Biomedical Imaging, Fabrication Method, Modality, and Application.

S. no Nanomaterial Fabrication method Name of modalities Application Refs
1 Carbon nanotubes CVD MRI Target drug delivery (217), (218)
2 Carbon nano tubes CVD MRI Diagnostic imaging (219), (220)
3 Gold nano particles Self-assembly Computer tomography (CT) Photo thermal therapy (96), (220), (221), (222)
4 Lipid based nano particles Microfluidic assembly Fluoroscopic imaging Gene delivery (223), (224)
5 Silicon nano wires Electrochemical synthesis Ultrasonography (USG) Bio sensing (225), (226)
6 Silicon, gold nano wires Self-assembly, template assisted fabrication PACT Drug delivery and deep imaging (219), (227)
7 Carbon nano materials CVD Positron emission tomography (PET scan) Radiotherapuetics (228)
8 Gold or bismuth nano particles Citrate reduction method CT scan Contrast enhanced imaging (229), (230)
9 Carbon nano wires CVD PET scan Cancer diagnosis (231), (232)
10 Porous gold nano wires Electro chemical reduction USG Drug delivery (233), (234)
11. Iron oxide nano particles Chemical precipitation MRI Therapeutics in cancer (235), (236)
12 Single walled carbon nano tubes (SWNTS) CVD Near infrared fluorescence/positron emission tomography scan (PET/NIRF imaging) Tumor target imaging (227), (237)
13 Colloidal gold nanoparticles Citrate reduction CT Nano diagnostics (238), (229)
14 Meso porous silica nano materials Electro chemical reduction Fluoroscopy imaging Drug delivery (237), (239)
15 Gold nano particles Chemical reduction CT Angiogenesis monitoring of tumors (240)
16 CNT CVD MRI Active therapy triggering (241)

In addition, numerous sophisticated tracking and imaging methods have shown their value in biomedical applications within the framework of micro/nanorobotics. Endoscopy provides a minimally invasive method for real-time tracking and visualization of nanorobots inside luminal structures and internal organs. Especially in gastrointestinal or vascular applications, it makes it easier to precisely track their movements and interactions with biological tissues.242 Dynamic X-ray-based tracking made possible by fluoroscopic imaging allows the real-time visualization of nano robots moving through the body. This method works particularly well for interventional operations like minimally invasive surgery or focused drug distribution. Furthermore, by observing blood flow and tissue perfusion at the microvascular level, laser speckle imaging has been investigated for tracking nanorobots.243 This technique is a promising tool for tracking the therapeutic effects of nanorobotic therapies since it can record dynamic physiological changes in real-time. The potential for accurate tracking, superior control, and better clinical results in cutting-edge medical applications is increased when these imaging modalities are incorporated into micro/nanorobotics research.244

4.4. Biosensing

Medical diagnosis may be possible thanks to the ability of micro/nanorobots to engage with specific receptors when mixed with fluids. Micro/nano robots provide precise pretreatment analysis for the treatment of diseases by specifically identifying various entities such as proteins, cells, bacterial toxins, metal ions, etc. Excessive ion concentration may be avoided by accurately detecting metal ions in the blood to safeguard human health. For instance, a novel class of magnetic mesoporous silica/Au/tetra ethylene pentamidine/heparin/ZnS·Mn/MMS/ZM/Au/T/Hep) micromotors can identify and eliminate blood copper excess directly. Tetra methylene pentaamine (TEPA) was adsorbable on the micro/nanorobot, demonstrating strong adsorption capacity and a short processing time for Cu2+. The solute was distributed more quickly and was thoroughly mixed with the target. The microtube made of magnetic meconium silica offered a rich load area for the adsorption of TEPA. A remarkable 74.1% of blood copper ions were removed because of the combined effects of the mesoporous structure, adsorption function group, and excellent mobility. Simultaneously, after being separated from the blood, the micro/nanorobot used variations in fluorescence signals to specifically monitor the blood’s copper ion content. Micro/nanorobot motion may be accomplished autonomously without requiring ultrasound or stirring, completing the self-mixing process. Once Cu2+ is extracted from the blood, the magnetic Fe3O4 allows the micro/nanorobot to split apart fast. The findings of this study addressed issues with lengthy treatment cycles, high costs, diagnosing and treating patients separately, and the limited therapeutic efficacy of conventional treatment approaches. They also offered evidence for integrating toxin detection and elimination in the blood.245Figure 15 shows the Strategies and examples of micro/nanorobots for sensing.

Figure 15.

Figure 15

(A) Equipping micro/nano robots with various bioreceptors to enable them to sense target analytes, such as proteins, nucleic acids, and cells. (B) Microrockets functionalized with ssDNA for nucleic acid separation and selective hybridization. (Adapted with permission from ref (246). Copyright 2011 American Chemical Society.) (C) Ultrasound-propelled nanomotors for the specific intracellular detection of miRNA in intact cancer cells. (Adapted with permission from ref (247). Copyright 2015 American Chemical Society.)

When used as an implanted mobile sensor, a micro robot may track certain biochemical markers and wirelessly communicate this spatiotemporal data to external sources. This data may be assessed via medical imaging techniques or biochemical signals generated as nano robot byproducts. This may provide ongoing health monitoring and prompt detection of developing diseases. It has been shown that featured surfaces, nanoparticles, and shape-changing polymers are viable options for implanted biosensors that react to intrinsic signals. In vivo, nucleic acid detection, for instance, is made easier by long-term durability and near contact with the targeted tissue as opposed to laborious traditional procedures.168 Yang et al. use the specific fluorescence responses that the fluorescent magnetic spore-based micro robot (FMSM), a microscale mobile sensing instrument, has to effectively detect C. diff toxins.226Table 6 shows the nanomaterials used in biosensing.

Table 6. Different Types of Nanomaterials, Fabrication Methods, and Biosensing Element.

S. no Nanomaterial Fabrication method Biosensing element Refs
1 Gold nanoparticle Photoelectrochemical Glucose level (248)
2 Quantum dots with gold nanoparticles Top-down approach DNA-modifying enzymes (249)
3 Carbon nanotubes Bottom up approach Cancer biomarkers (250)
4 Silicon nanowires Chemical etching Detect dopamine and serotonin (ST) neurotransmitters (251)
5 Magnetic nanoparticle Electrochemical Analyze carcinoembryonic antigen (N/A) (252)
6 ZnO nanostructure Hydrothermal synthesis Sensing biomolecules like glucose, cholesterol, urea, and uric acid (253)
7 Silver nanowires Electrochemical Glucose level (254)
8 Palladium nanoparticles Ultrasonic method Determination of glucose (255)
9 Lipid nanoparticles Thin film hydration Cholesterol level  
10 Chitosan (CHIT)-based nanofibers Electrochemical Detection of monosodium glutamate (256)
11 AuNp Physical freeze-drying technology Virus particles detection (257)
12 Ag nanoclusters (AgNCs) Fluorescent method Viral nucleic acids of SARS-CoV-2, HIV-1, and influenza virus (258)
13 Fe3O4@SiO2 core–shell nanorods Chemical colorimetry Biochemical detection technique is the enzyme-linked immunosorbent assay (ELISA) (259)
14 Gold nanowires Origami technique Detection of cancer cells (260)
15 Ag–AuNRs microrobots Magnetic SARS-CoV-2 virus (261)

4.5. Tissue Generation and Cancer Therapy

The goal of tissue regeneration, a dynamic and complex process in regenerative medicine, is to restore the structure and functions of tissues through a sequence of cellular and molecular events. With the ultimate goal of enhancing patient outcomes and quality of life, the developments in tissue regeneration show great promise for treating various medical ailments, from degenerative diseases to severe injuries. Nevertheless, it has certain drawbacks, such as the need for invasive surgical procedures, imprecise targeting, and adverse consequences such as local tissue damage. These problems might cause discomfort, hinder postoperative recovery, and affect how well a treatment works. Researchers have proposed using miniature synthetic micro/nanomotors to achieve precise therapeutic interventions with less invasiveness and no unfavorable side effects. These tools are intended to provide a minimally invasive platform for transforming external energy into regeneration signals or accurately distribute stem cells to the injured tissues. In this regard, nano/microrobots have special qualities that make them suitable for tissue regeneration applications, such as their small size, high precision, and efficiency.262

To treat osteoarthritis (OA), Li et al. utilized decellularised cartilage extracellular matrix (ECM) functionalized with Fe3O4 nanoparticles (by dip coating) as a scaffold for the transport of human bone marrow mesenchymal stem cells (MSCs). The scaffold’s porous structure offered a suitable area for cell seeding. Within 12 h of arriving at their intended location, MSCs were freed from the scaffold and began to proliferate. Additionally, the scaffold deteriorated 20 days after cultivation. In vivo test results demonstrated that this formulation efficiently restored knee joint function in 3 weeks, emphasizing the significance of functional cells and microenvironments.263

A porous chrysanthemum pollen shell was coated on iron nanoparticles to create CDBMRs by Liu et al. In an external magnetic field with magnetic velocity and input frequency dependency, they showed targeting ability by increasing magnetic frequency until critical frequency velocity increased while passing this critical point decreased velocity. This magnetic characteristic allowed an external magnetic field to convey this microrobot to its objective. The target site used time-varying magnetic fields to enter cells with microrobots. Cell perforation caused by burr-like micro spikes on this microrobot caused cell death. Its hollow shape facilitated therapeutic chemical loading and release at the target spot. The porous, burr-like microstructure makes it suited for cell adhesion and transport. An external magnetic field electrically stimulated cells to induce osteogenic differentiation and increase bone formation, proving tissue regeneration.264 In Choi et al. research, a biohybrid microrobot was built by integrating chitosan-heparin nano complex (NC) into the Chlamydomonas reinhardtii (C. reinhardtii) microalgae for speeding wound healing. It can permeate through the blood clots and produce oxygen in the microenvironment of diabetic wounds via photosynthesis that alleviates hypoxic conditions of wound.265

The high death rate and the dearth of efficient diagnostic and therapeutic techniques make cancer one of the most untreatable diseases. There are previously unheard-of possibilities to create MNR-based cancer diagnostic platforms thanks to micro- and nanorobot-assisted sensing, imaging, and therapy developments. In contrast to regular nanoparticles, which move in biofluids in a Brownian motion, MNRs effectively self-propel to overcome viscous resistance in an ultralow Reynolds number (Re ≪ 1) environment. This special motility ability has driven the advanced design and functionalization of MNRs as a foundation for next-generation cancer therapy platforms, which holds promise for better therapeutic drug penetration and accurate distribution. Additional research is being done to enable the promising cancer-related uses of MNRs through enhanced barrier penetration, imaging-guided operation, and biosensing.266 Researchers have established strict requirements for the core components of nanorobots’ designs to guarantee that they can successfully eradicate cancer cells from the human body. Notably, medical nanorobots are still in their early phases of development and have not yet been extensively used in therapeutic procedures. These devices ’ precise composition and structure can vary significantly depending on their intended use and the safety, effectiveness, and scalability requirements.244

As nanotechnology advances, drug delivery has emerged as one of the most common uses of nanorobots in cancer treatment. Small sizes, high specific surface area/internal void volumes, and exceptional physicochemical properties are some of the obvious characteristics of the nanodrug carriers that have been produced. Generally speaking, an ideal nanorobot has certain unique abilities like propulsion, tissue penetration, controlled navigation, cargo transportation, and release.267,268 The majority of drug delivery nanocarriers currently on the market rely on systemic circulation in addition to the constraints of passive mass transport. They also lack the self-driving force and navigational capabilities necessary for targeted distribution and tissue penetration. According to reports, several antitumor treatments employing nanorobots allow for accurate therapeutic drug delivery to specific tumor regions.269

Using a biological template approach, Xie et al. converted pine pollen into a magnetic microrobot, vacuum-loaded doxorubicin into the robot’s natural cavity, and then utilized the microrobot’s cooperative behavior to transfer medications through the PDMS narrow channels. The seminatural magnetic microrobot employs its magnetic rotor inside the cavity to create fluid and release the payload drug molecules to kill cancer cells once they reach their internal space.270 Felfoul et al. discovered that drug-loaded nanoliposomes may be effectively delivered to hypoxic areas of the tumor utilizing biohybrid microrobots (based on Magnetococcus marinus strain MC-1) powered by an external magnetic field.271 Garcia et al. demonstrated that near-infrared light-triggered medication release may be achieved using ultrasound-driven nanowire motors to deliver drugs quickly to HeLa cancer cells. In this instance, it was discovered that within 15 min of exposure to NIR light, 38% of the DOX payload medication was released inside cancer cells. He et al. used layer-by-layer self-assembly technology to construct a tubular multilayer microrobot. These microrobots can deliver doxorubicin to cancer cells at up to 68 μm/second thanks to a combination of bubble driving and magnetic field guidance.272 When subjected to NIR light, Xuan et al. demonstrated that a nanorobot system could move in a certain direction. Au half-nanoshells could create a thermal gradient under NIR irradiation, supplying self-heating energy to overcome Brownian motion. The immunological ability of the nanorobots to preferentially engage cancer cells was conferred by the wrapping of the Janus mesoporous silica nanomotor (MPCM@JMSNMs), which was powered by NIR light and cloaked in macrophage cell membranes.273

4.6. Biohybrid Microrobots

The concept of “biohybrid micro and nanorobots” describes functional micro- and nanorobots that combine artificial (such as inorganic or polymer particles) and biological (such as DNA, enzymes, cytomembranes, and cells) components.93 Micro- and nanorobots that combine biological and artificial components are known as biohybrids. The benefits of onboard actuation, sensing, control, and execution of various medicinal activities, including single-cell manipulation, cell microsurgery, and targeted drug delivery, can be possessed by them.274 A study by Maier et al. noted that by hybridizing complementary DNA strands, the DNA flagella were affixed to magnetic iron oxide microparticles (1 μm), creating biohybrid magnetic microrobots that rotated perpendicular to the direction of swimming.275

DNA nanorobots have demonstrated significant promise for precision cancer (immuno) treatment, vaccination, and tumor-targeted medication delivery.276,277 Leukocytes have been designed into biohybrid microrobots because of their inherent qualities and functions, such as chemotaxis and secretion activity. Immunocyte-based microrobots can target diseased tissues on their own, actively deliver therapeutic drugs, and release the drugs locally.278 To achieve NIR-responsive precision medication release at tumor locations in a spatiotemporally regulated way, Dogan et al. study reported that dual-targeting macrophage-based microrobots were created with controllability by innate chemotaxis and external magnetic field.279 Tubular and helical sperm robots, which have emerged from the combination of synthetic micro- and nanomaterials with spermatozoa, have enormous potential for use in biomedical and engineering domains, including aiding artificial insemination and delivering drugs or genes.280

It has been shown that attaching folate ligands to the surface of RBC vesicles through the FR interaction improves the effectiveness of tumor magnetic targeting and makes it easier to deliver specific medications to ovarian cancer cells.281,282 Multiple peritrichous flagella seen in Escherichia coli can be bioengineered into microrobots for noninvasive, targeted distribution in physiological settings.283,284 According to a study by Ouajdi, oxygen-depleted hypoxic areas of the tumor are typically resistant to treatment. This suggests that drug-loaded nanoliposomes can be delivered into hypoxic areas of the tumor using the magneto-aerotactic migration behavior of magnetotactic bacteria, specifically Magnetococcus marinus strain MC-14.285 In a revolutionary development, Sylvain Martel and associates have used magnetically directed nanorobotic agents derived from Magnetococcus marinus MC-1 cells to help deliver drug-loaded nanoliposomes into hypoxic tumor areas. A biohybrid microrobot was created in a study by Choi et al. by introducing chitosan-heparin nano complex (NC) into Chlamydomonas reinhardtii (C. reinhardtii) microalgae to speed up wound healing.286 The results of a study by Gundersen et al. showed that the creation of biohybrid microrobots based on guidable mesenchymal stem cells (MSCs) is compatible with their biological and therapeutic roles. Therefore, MSC-based biohybrid microrobots offer a new approach to delivering gene treatments to tumors and other disorders.287 A study by Gong et al. showed the enormous potential of magnetic biohybrid microrobot multimers (BMMs) based on Chlorella (Ch.) for targeted medicine administration and suggested a unique approach.288

A study by Wang et al. suggested a simple method for producing magnetic microrobots with several uses in large quantities by employing Spirulina (Sp.) as a biotemplate and depositing Fe3O4 and Au nanoparticles. The microrobots are a promising and effective platform for drug loading, targeted delivery, and chemo-photo thermal therapy because of their fascinating characteristics.289 Even though these robots have a lot of potential, issues, including biocompatibility, power supply, manufacturing processes, and control mechanisms, still need to be resolved. A major challenge is ensuring these biohybrid systems coexist peacefully with biological beings without eliciting negative reactions or rejections.290Table 7 describes the biohybrid micro robots with materials, size and their applications used.

Table 7. Biohybrid Microrobot Materials, Size, and Applications.

S. no. Material Size Application Refs
1 DNA flagella + magnetic iron oxide 1 μm Tumor-targeted drug delivery, vaccination for precision cancer (immune) therapy (275277)
2 Macrophages + silica particles 60–500 μm Enhances the ability to target tumors and fight them by magnetically activating and gathering many macrophages. (279)
3 Neutrophils + silica particles 5–20 μm Active drug delivery of drugs and slow release into malignant gliomas (291), (292)
4 Sperm cell + iron oxide 50–100 μm Artificial insemination, drug and gene delivery (280)
5 Erythrocytes + gold nanowires/magnetic mesoporous silica nanoparticles 6–8 μm Tumor cell-specific drug delivery and prolonged drug circulation in the bloodstream (281), (282)
6 Escherichia coli + gold particles 1–10 μm Transportation of drug-loaded nanoliposomes into hypoxic tumor lesions (283), (284)
7. Magnetococcus various strains + magnetic iron oxide crystals 1–2 μm Transportation of drug-loaded nanoliposomes into hypoxic tumor regions (285)
8 Chlamydomonas reinhardtii + chitosan heparin nanocomplex 5–15 μm Acceleration wound healing, especially chronic wounds (286)
9 Mesenchymal stem cells + magnetic nanoparticles 1–5 μm Anticancer therapy (target chemotherapeutic drug delivery) (287)
10 Chlorella + iron oxide nanoparticles 3–5 μm Target drug delivery (targeted anticancer therapy) (288)
11 Spirulina species + iron oxide, gold nanoparticles 5–20 μm Drug loading, targeted delivery, chemo photothermal therapy (289)
12 Thalassiosira weissflagii diatom + Fe3O4 20 nm–2 μm Combination therapy of glioblastoma (293)
13 Spirulina microalgae + Fe3O4 nanoparticles 5–20 μm Image-guided treatment (fluorescence compound and contrast agent for MRI) (284)
14 Spirulina plantesis + Fe3O4 nanoparticles 5–20 μm Cancer multimodal imaging and therapy (294)
15 Motile algae + red cell membrane-coated nanoparticles 100 μm Transportation of anticancer drugs to the targeted lung metastases (295)

5. Challenges and Opportunities

In the last ten years, micro/nanorobots have become a unique and adaptable framework for combining the benefits of robotic sciences with nanotechnologies. Thus, various design concepts and propulsion systems have been used to create extremely powerful and specialized micro/nanorobots. We are only beginning to explore the potential of micro/nanorobots in addressing healthcare challenges. Filling in the knowledge gaps in nanorobotics could significantly influence various medical fields. Enough efforts and developments are needed to fully realize the potential of these tiny robots for sophisticated surgeries in hitherto inaccessible body areas. With their high mobility, deformable structure, adaptive and sustainable operation, precise control, group behavior with swarm intelligence, sophisticated functions, and even the ability to self-evolve and self-replicate, future micro/nanorobots must emulate the natural intelligence of their biological counterparts.173

A major challenge is finding novel energy sources for biocompatible, long-term, autonomous in vivo functioning. New alternative fuels and propulsion mechanisms are required for safe and sustainable operation in the human body, even though many chemical fuels and external stimuli have been investigated for nanoscale locomotion in aqueous conditions.296 Due to their reliance on hydrogen peroxide fuel, most catalytic micromotors are limited to in vitro applications. The short lifespan of micromotors that run on active material propellants (such as magnesium, zinc, aluminum, or calcium carbonate) is caused by the propellant being used up quickly during propulsion. According to recent research, body fluid components like blood glucose or urea may be used to power enzyme-functionalized nanomotors.297,298 These enzyme-based motors’ power and stability still need to be improved for practical use. While fuel-free and on-demand speed regulation is a great feature for nanoscale surgery, magnetic and acoustic nanomotors may impede autonomous therapeutic interventions.299

Transferring nanorobots from test tubes to living things will take a lot of work. Viscous biological fluids like stomach fluid or entire blood have already been used to illustrate the potent performance of micro/nanorobots.300,301 Scrutiny is necessary when operating these tiny devices in human tissues and organs, which impose larger impediments to motion.302 Because the functioning and intelligence of small robots mostly depend on their materials and surface qualities, designing robots to accomplish tasks at the nanoscale scale is effectively a materials science or surface science problem. Biomedical nanorobots are made for delicate tissues, fluctuating physiological circumstances, and unexpected biological events. Thus, various smart materials, biological, responsive, or soft, are highly wanted to offer the actuation and multifunctionality required while preventing permanent robotic faults in intricate bodily systems relevant to human physiology. According to a recent publication, the rotational trap stiffness of a revolving magnetic microrobot can be adjusted to prevent macrophage absorption.303

On the other hand, combining artificial nanomachines with organic biological materials can reduce the negative impacts of immune evasion and biofouling in complicated biological fluids, improving mobility and longevity in these environments.304 Responsive materials are greatly desired to build reconfigurable nanorobots that can operate adaptively under quickly changing settings. To ensure mobility and mechanical compliance with the human body and tissues, nanorobots must also be soft and malleable.305,306 They ought to eventually be composed of temporary, biodegradable components that vanish after serving their purpose.307 The development of novel techniques for synthesis and fabrication, including three-dimensional nano printing, is necessary to produce biomedical nanorobots on a large scale, with excellent quality and at a reasonable cost. It will therefore be possible to advance nano robots to a new level through innovative materials and construction methods. Biomedical nano robots are anticipated to collaborate, with thousands of units moving simultaneously and autonomously to target the illness site. Multiple nano robots working in unison could be utilized to carry out tasks that are not feasible for a single robot, like large-scale detoxification procedures or the efficient distribution of medicinal payloads. While individual navigation and group behavior of nano robots have been studied, it is a difficult problem to duplicate the group communication and synchronized coordination of natural intelligence, from one to many. Enhancing the precision treatment capability of nano robots requires advancing their swarm intelligence toward machine learning and group motion planning at the nanoscale. The authors have discussed challenges and opportunities related biocompatibility, control and navigation, delivery and targeting, safety and ethical consideration separately.

5.1. Biocompatibility

Since the complexity of the interactions between biological matter and the materials used to build nano robots varies and can cause the nano robots’ surface characteristics to change depending on their environment, researchers have not fully understood the mechanisms underlying the interactions between nano robots and living systems.308 In a brief post, Kostarelos discussed the necessity for nano robots to be toxicologically inert, biodegradable, or able to be evacuated from the body. It should be noted that this mostly discusses human toxicity rather than potential environmental consequences that might arise after the nano robots have been ejected from the body.309 The application of nano robots for environmental sensing, monitoring, and cleanup was discussed by Gao and Wang. “To prevent potential adverse environmental impacts, the potential toxicity of micro/nanoscale motors needs to be evaluated,” they remark. Though they anticipate a broad application of nanorobots in the environment, they do not offer any concrete suggestions on achieving that.

A study on DNA nano robots and their compatibility with higher organisms’ immune systems was conducted by Surana et al. they observe that although DNA is a naturally occurring biopolymer, when it is present in the wrong location at the wrong time, it can cause a severe inflammatory response. As a result, alien, “nonself” DNA from other organisms can be damaging and immunogenic. They claimed, therefore, that it is critical to consider the different cellular and systemic reactions that such DNA designs can provoke, reactions that are probably specie specific. These factors serve two purposes: they protect the organism in question from the DNA nano robot while also ensuring that the nano robot performs its intended medicinal function in cells. Once more, human toxicological reactions are the main focus instead of environmental toxicity.310 The safety of the nano robot was evaluated in the work by Li et al.311 concerning the DNA nanosheet/tubular nano robot. At relevant concentrations, it was shown that the nanorobots did not cause any thrombi or enhanced blood coagulation in nontumor-bearing animals. Furthermore, no cytotoxic or immunological reactions were seen. Additionally, they did not affect blood coagulation or thrombi in Bama miniature pigs, an animal whose anatomy and physiology are similar to that of humans. These studies are restricted to effects on human toxicity, even though they offer a preliminary hint that such nano robots might be safe.

In addition, numerous other factors need to be considered when working with nano robots, including as the material, size, form, surface coating, actuation and sensing mechanisms employed, and the working environment in which the nano robot is operating.312 Although efforts have been made to identify potential targets such as the lung, liver, heart, and brain as well as key entrance channels such as the lung, gut, and maybe skin, the discovery of hazards associated with the usage of nano robots in the human body is still in its early stages.313

The degree of toxicity may vary in severity depending on the mechanism’s design, the material employed, the driving and sensing systems put in place, and the location of deposition within the human body.314 As a result, to preserve clinical significance, toxicity data is displayed through a system-based methodology that centers on targets related to the liver, neurological system, lung, and skin that are thoroughly covered in.315

5.2. Control and Navigation

Control is the capacity to direct and govern the behaviors and actions of nano robots, including their contact with biological targets, propulsion, and directionality and the capacity to steer nano robots through intricate biological environments such as blood arteries, tissues, or organs to deliver them to specific target places is known as navigation. A nano robot’s ability to move and function depends on its driving components; passive drive and active drive are the two types of driving modes available.316 While active drive uses an onboard molecular motor, electric nanomotor, pumps, or a membrane to power the nano robot, the former is used at bodily entry and in nanorobot control.317 Since energy is lost when moving, running, and transmitting data, the task requires a sufficient energy supply, which goes against the nano robot size constraint. Microchemical cells and its transformed versions, such as fuel cells, ATP motors, etc., are examples of internal energy sources. There are two sorts of external sources: one uses contact to dissipate energy in the form of light or current, and the other converts external energy using an onboard converter.316

Several attempts have been made to use motor proteins to create robotic robots that can move independently. However, the peculiarly unstable nature of proteins in various environments has limited their application.59 Diverse forms of self-propelled micro/nanomachines, including motors, engines, robots, and swimmers, provide a wide range of applications in the medical domain. However, sensing, regulated release and administration, biocompatibility, and propulsion are regarded as major obstacles in biological applications.318 When considering its fuel storage capacity, surface area-dependent factors like the energy dissipation rate become considerably relevant and limiting. Nano robots have been produced in a range of shapes (with spherical, helical, or asymmetric geometries) since they need to be able to harvest energy from the external environment to move. Fuel-based and fuel-free propulsion are the two categories into which propulsion mechanisms can be classified based on the driving force needed. Making these nano robots commercially viable will depend heavily on cost, scale-up, and fabrication.318

It is important to understand that for nano robots to perform difficult medical tasks, their complex in vivo environment requires precise and sophisticated control and navigation skills. Thus, another urgent problem is to investigate robust control and autonomous navigation of nano robots. Jiang et al. assert that sophisticated control techniques including path planning, localization, and mapping are crucial.319 Nano robots can travel across complicated biological settings using efficient path planning algorithms that identify the best paths while avoiding obstacles. Nano robots can precisely navigate and carry out tasks using mapping and localization techniques, allowing them to precisely determine their position and construct detailed maps of their environment. Incorporating real-time feedback systems and machine learning algorithms further enhances these capabilities, enabling nano robots to execute tasks with extreme accuracy and adjust to dynamic changes in their surroundings. Thus, to increase the effectiveness and dependability of nano robots in biomedical applications, future research should concentrate on creating these sophisticated control systems.320

Inspired by the way the skeleton of the cell moves the motor protein, Henry Hess et al. used motor protein to demonstrate a nanoscale train.321 Research by Yurke et al.322 showed that fuels and DNA components might be used to open and close an actuator. Using DNA strands, the NC Seeman group created the first biped nano robot with a spinning motor.323 The rotor rotates eight times per second as the ATP hydrolyzes and provides driving power and motion, thanks to the work of the Carlo Montemagno group at the University of Cornell, who used a unique substance to bind nickel ions to the ATP molecule.324 The Alex Zettl nano robot group, which constructed the smallest synthesis engine with a diameter of 500 nm in 2003,64 was a logical fit for cilia and flagellum. By combining sensors and imaging modalities, it is possible to monitor biological reactions and nano robot behavior in real-time, which improves navigation and control skills.

5.3. Scalability and Manufacturing

Scaling down the fabrication process of biohybrid robots while preserving their functionality and complexity can be problematic. Developing scalable manufacturing procedures is vital for practical application. One of the key issues in scalability is the translation of laboratory-scale fabrication technologies to mass-production approaches. Many biohybrid micro/nanorobots are initially produced utilizing specialized equipment and hand assembly methods which may not be suitable for large-scale manufacture. Adapting these technologies to high-throughput manufacturing environments without compromising the performance or biocompatibility of the devices is a critical problem. Moreover, integrating numerous components, including biological entities and synthetic materials, in biohybrid micro/nanorobots adds another degree of complexity to the production process.325 Coordinating the assembly of these varied components in a controlled and reproducible manner while maintaining the functionality and biocompatibility of the final product poses a considerable challenge. Research should focus on establishing scalable, high-throughput manufacturing processes that enable for mass production without losing quality or precision. Advancements in 3D and 4D printing technologies, which allow for the precise layering of materials at the nanoscale, could alter how biohybrid robots are made. 4D printing, in particular, can produce dynamic structures that change their shape over time in response to external stimuli. This allows for developing more sophisticated robots that evolve with their surroundings.326 Additionally promising are nanomanufacturing methods that make use of self-assembly processes. Developing biohybrid robots that can self-assemble complex nanostructures could result from self-assembling nanostructures, significantly reducing production time and costs. Another approach that might expedite the production process is investigating biofabrication methods that use biological systems such as bacterial or yeast-based systems to construct components.327

5.4. Delivery and Targeting

Nanorobotics in pharmaceuticals requires a thorough consideration of potential dangers and advantages before development and implementation. To protect patient safety, researchers and regulatory bodies must evaluate and control any hazards related to using nanorobots for interventions. This entails addressing issues with immunological reactions, long-term consequences, biocompatibility, and possible inadvertent interactions with biological systems. However, it is important to acknowledge the revolutionary potential of nanorobotics in the pharmaceutical industry. Precision medication administration increases therapeutic efficacy, and personalized treatment is made possible by nanorobots, and these developments have the potential to greatly benefit patient outcomes and quality of life. Thorough preclinical research and carefully planned clinical trials are necessary to minimize risks and maximize benefits. Clear communication of the capabilities and constraints of the technology is essential to establishing public confidence and encouraging moral decision-making.

It is anticipated that nano robots would advance in sophistication, gaining better medication loading capabilities and more precise drug delivery. This may result in the creation of cutting-edge treatments for a variety of illnesses, such as infectious diseases, neurological conditions, and cancer.328 Combining nano robots with cutting-edge imaging methods and customized medicine strategies may result in highly individualized treatments that are catered to the unique illness profiles of individual patients,329.330 Researchers are delving into the notion of nano robot swarms, in which numerous nano robots cooperate to accomplish intricate tasks. These swarms have the potential to improve medication delivery effectiveness and facilitate the simultaneous targeting of many bodily sites.331 Ghada Al-Hudhud has created a model and researched swarm nano robots. The experiment’s outcomes demonstrate how well the swarm is coordinated when it arrives, preventing overcrowding around the target concentration emitters. Furthermore, the grouping would encompass a larger region surrounding the target site.332

Combining biological elements with artificial nano robots, biohybrids have the potential to provide novel capabilities by combining the advantages of both naturally occurring and artificially created systems. In addition, scientists are using biological systems as inspiration to create nano robots that are more versatile and mobile.333 Technological developments in nanorobotics could lead to remote sensing and actuation, allowing external energy sources like light or magnetic fields to drive nanorobots. Micro/nanomotors must pass immune system clearance for in vivo applications like cargo transport and medication delivery, otherwise they risk being rejected as foreign objects. Therefore, defeating the host’s immune system is essential, in addition to improving medication delivery and therapeutic efficacy.334

Tissue penetration is one of challenges, due to size restrictions and physiological barriers, it is still difficult for nano robots to penetrate deeply into tissues or through biological barriers. Wang and associates presented the first example of delivering and releasing medication by an artificially catalytic micromotor; they were able to move the drug molecule and release it to the necessary locations.335 Controlled Release also can be difficult to maintain the appropriate medication concentrations at target areas by controlling the release kinetics of therapeutic payloads from nano robots. Clearance and Elimination: to reduce potential long-term consequences, it is important to ensure that nanorobots are cleared or degraded from the body promptly following medication administration.

5.5. Safety and Ethical Consideration

Like any new technology, nanorobots have ethical issues that must be carefully considered. The medical field’s ethical problems regarding nano robots include informed consent, privacy and autonomy, unexpected effects, equity, and access. Patients’ informed consent may be needed before using nano robots in medical procedures.336 Patients must receive sufficient information regarding the type of treatment, hazards, and advantages linked to interventions with nano robots. Patient autonomy and privacy concerns are brought up by using nanorobots in medical procedures. It should be the right of patients to make knowledgeable decisions regarding the employment of nano robotic technology in their treatment.20

Unintended effects or any potential unanticipated risks related to nano robot interventions must also be considered in nano robotics research. Important factors could include long-term environmental or inadvertent off-target effects on healthy cells. Also ensuring fair access to treatments utilizing nano robots is crucial. As with any new medical technology, questions concerning the accessibility and cost of medications based on nano robots may surface, possibly leading to inequities in healthcare access. Biocompatible nano robots have the potential to enhance safety profiles over traditional medicines by decreasing systemic toxicity and off-target effects.308 Ethical standards: guidelines for developing and using nanorobots in biomedical applications should be defined to address societal concerns and ensure ethical processes. Additionally, nanorobots could facilitate patient empowerment, giving people greater control over their health and well-being by offering customized treatment options and improved illness management.337

Medical nano robots offer a wide range of prospective applications that are still being investigated, whereas traditional nanomaterials have previously been used in many medical and biomedical applications. To reduce side effects and increase treatment effectiveness, these applications include targeted drug delivery, in which nanorobots can precisely administer treatments to particular tissues, cells, or even subcellular sites.338 Another possible use is in vivo diagnostics, where nanorobots are employed to monitor many physiological indicators in real time, potentially assisting in the early identification and detection of illnesses.339 Additionally, nanorobots can completely transform regenerative medicine by aiding in tissue regeneration and repair and modifying the immune system by either boosting its antitumor activity in cancer treatments or decreasing it in autoimmune illnesses. Additionally, medical nanorobots could be used for less invasive microsurgical operations, which would enable more targeted and accurate interventions, less trauma, and quicker recovery periods.340 It is projected that as medical nanorobots research and development progresses, their potential uses will grow even further, revolutionizing healthcare and offering novel treatment alternatives for a variety of illnesses.341

In conclusion, there are substantial differences between medical nanorobots and regular nanomaterials in their design components, targeting capabilities, power systems, biocompatibility, safety considerations, and possible uses. The development of medical nanorobots holds great promise for various innovative biomedical applications, such as cancer treatment, diagnostics, tissue repair, immune system modulation, and microsurgery, even though traditional nanomaterials have been effectively used in drug delivery applications.342 Medical nanorobots have the potential to revolutionize medicine and offer novel treatment approaches for a range of illnesses, improving patient outcomes and the standard of healthcare as research and development in this area advance.343 Certain nations have acknowledged the potential hazards linked with nanomaterials and have implemented legislative policies for advancing and investigating relevant nanotechnology. Marchant et al., for instance, put forth a framework centered on incremental international cooperation, in which programs about nanoresearch and development are carried out by established safety norms and where shared objectives can be decided upon and outlined as an international convention. These safety procedures provide suitable courses of action and significant safeguards against the possible harm of nanomedical technology if potential harm is discovered.344Figure 16 illustrates the challenges and future directions of micro/nanorobots.

Figure 16.

Figure 16

Limitations and future directions of micro/nanorobots

6. Conclusions

This paper thoroughly overviews the outstanding advancements in using micro/nanorobots in medicine, specifically in targeted drug delivery, minimally invasive procedures, image diagnosis, and biosensors. It also covers the design, manufacture, and actuation of nanorobots. The creation and use of nanorobots in medicine will grow into a significant subject of study in the upcoming years. Researchers must investigate nano robots’ biocompatibility, retention, toxicity, biodistribution, and therapeutic efficacy to fully understand their potential in this sector. Our interventions will become more effective and proactive with the advent of surgical nanorobots, targeted drug delivery, and gene therapy, enabling the treatment of diseases in currently unfeasible ways. The advantages of micro/nanorobots over traditional therapy methods are as follows: they can penetrate deep tissues, reduce trauma, and improve treatment efficiency. Research in this area is still in its early stages now, and there are still a lot of obstacles to be solved before clinical transformation occurs. Robot clusters may be able to move autonomously in the future thanks to developments in domains like artificial intelligence, and individual robot cooperation may even be made easier. These advancements are promising, particularly in complex treatments like large-scale medicine and tumor immune environment therapy. The ultimate objective is to create a micro/nanorobot system that is both safe and broadly available so that more people can receive accurate and effective medical care. In conclusion, there is still a long way to go before the full promise of micro- and nanorobots in treating human diseases is realized. There are a lot of aspects that need to be investigated, including moral issues. Over the next ten years, research into the micro/nanorobot platform will increase rapidly. Micro/nano robots could transform the medical profession if certain safety and controllability requirements are fulfilled.

Acknowledgments

We would like to convey our special thanks to the research house of the University.

Glossary

Abbreviations

AFM

Atomic Force Microscopy

SEM

Scanning Electron Microscopy

CNTs

Carbon Nanotubes

FIB

Focused Ion Beam

MEMS

Micro-Electro-Mechanical Systems

HMDS

Hexamethyldisilane

CVD

Chemical Vapor Deposition

PVD

Physical Vapor Deposition

SiO2

Silicon Dioxide

Si3N4

Silicon Nitride

TAED

Template-Assisted Electrochemical Deposition

H2O2

Hydrogen Peroxide

Ag

Silver

Au

Gold

Al

Aluminum

Cu

Copper

Ni

Nickel

O2

Oxygen

H2O

Water

TPP

Two-Photon Polymerization

PMMA

Poly(methyl methacrylate)

PDMS

Polymethyldisiloxane

DOX

Doxorubicin

PLGA

Poly(lactic-co-glycolic acid)

H2

Hydrogen

DHM

Degradable Hyperthermia Microrobot

CMC

Carboxymethyl Cellulose

PEG

Polyethylene Glycol

MSNs

Mesoporous Silica Nanoparticles

MnO2

Manganese Dioxide

AC

Alternating Current

DC

Direct Current

MNRs

Magnetic Nano Robots

FU

Focused Ultrasound

PFC

Perfluorocarbon

AMP

Antimicrobial Peptides

MTB

Magneto Tactic Bacteria

CLR

Clarithromycin

AuNPs

Gold Nanoparticles

PACT

Photoacoustic Computed Tomography

NIR

Near Infrared Red

ALD

Atomic Layer Deposition

PEG–PS

Poly(ethylene glycol)-b-polystyrene

AESOP

Automated Endoscopic System for Optimal Positioning

CNS

Central Nervous System

MRI

Medical Resonance Imaging

TEPA

Tetra Methylene Pentaamine

FMSM

Fluorescent Magnetic Spore-Based Micro Robot

OA

Osteoarthritis

ECM

Extracellular Matrix

MSCs

Mesenchymal Stem Cells

Author Contributions

Induni Nayodhara Weerarathna: Conceptualization, Methodology, Writing original draft, Visualization. Praveen Kumar: Conceptualization, Methodology, Writing- review and editing, Supervision. Hellen Yayra: Conceptualization, Writing- review and editing. Lydia Kiwanuka: Conceptualization, Writing- review and editing.

The authors declare no competing financial interest.

References

  1. Jain K. Advances in the field of nanooncology. BMC Med. 2010, 8, 83. 10.1186/1741-7015-8-83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Misra R.; Acharya S.; Sahoo S. K. Cancer nanotechnology: application of nanotechnology in cancer therapy. Drug Discovery Today. 2010, 15, 842–50. 10.1016/j.drudis.2010.08.006. [DOI] [PubMed] [Google Scholar]
  3. Rhyne P. W.; Wong O. T.; Zhang Y. J.; Weiner R. S. Electrochemiluminescence in bioanalysis. Bioanalysis. 2009, 1, 919–35. 10.4155/bio.09.80. [DOI] [PubMed] [Google Scholar]
  4. Matsue T. Bioimaging with Micro/Nanoelectrode Systems. ANAL SCI. 2013, 29, 171–9. 10.2116/analsci.29.171. [DOI] [PubMed] [Google Scholar]
  5. Choi Y.-E.; Kwak J.-W.; Park J. W. Nanotechnology for Early Cancer Detection. Sensors. 2010, 10, 428–55. 10.3390/s100100428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Rizvi S. A. A.; Saleh A. M. Applications of nanoparticle systems in drug delivery technology. Saudi Pharm. J. 2018, 26, 64–70. 10.1016/j.jsps.2017.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Ghosh A.; Fischer P. Controlled Propulsion of Artificial Magnetic Nanostructured Propellers. Nano Lett. 2009, 9, 2243–5. 10.1021/nl900186w. [DOI] [PubMed] [Google Scholar]
  8. Tarakanov A. O.; Goncharova L. B.; Tarakanov Y. A. Carbon nanotubes towards medicinal biochips. WIREs Nanomed Nanobiotechnol. 2010, 2, 1–10. 10.1002/wnan.69. [DOI] [PubMed] [Google Scholar]
  9. admin: History of Robots . Adelaide Robotics and Computer Science Academy. (2016). Accessed: February 29, 2024. https://www.roboticsacademy.com.au/history-of-robots/.
  10. Goel R.; Gupta P.. Robotics and Industry 4.0. Nayyar A, Kumar A., Eds.; In A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development; Springer International Publishing: Cham, 2020. 157–169 10.1007/978-3-030-14544-6_9. [DOI] [Google Scholar]
  11. Nanobots for Medicinal Applications. Accessed: February 29, 2024. https://austinpublishinggroup.com/nanomedicine-nanotechnology/fulltext/ajnn-v11-id1067.php.
  12. Saadeh Y.; Vyas D. Nanorobotic Applications in Medicine: Current Proposals and Designs. Am. J. Robot Surg. 2014, 1, 4–11. 10.1166/ajrs.2014.1010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Su H.; Wang Y.; Gu Y.; Bowman L.; Zhao J.; Ding M. Potential applications and human biosafety of nanomaterials used in nanomedicine. J. Appl. Toxicol. 2018, 38, 3–24. 10.1002/jat.3476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Hu M.; Ge X.; Chen X.; Mao W.; Qian X.; Yuan W.-E. Micro/Nanorobot: A Promising Targeted Drug Delivery System. Pharmaceutics. 2020, 12, 665. 10.3390/pharmaceutics12070665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Xi N, Fung C. K. M., Yang R, et al. : Atomic Force Microscopy as Nanorobot. Braga P. C., Ricci D., Eds.; In Atomic Force Microscopy in Biomedical Research: Methods and Protocols. Humana Press: Totowa, NJ, 2011; pp 485–503 10.1007/978-1-61779-105-5_29. [DOI] [PubMed] [Google Scholar]
  16. Denecke K.; Baudoin C. R.. A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems. Frontiers in Medicine. 2022, 9, 10.3389/fmed.2022.795957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Beasley R. A. Medical Robots: Current Systems and Research Directions. Journal of Robotics. 2012, 2012, e401613 10.1155/2012/401613. [DOI] [Google Scholar]
  18. Exploring the nexus of biomedical science and robots for enhanced clinical outcomes—a literature review. Accessed: May 23, 2024. https://www.aimspress.com/article/doi/10.3934/bioeng.2024001.
  19. Azar A. T., Madian A, Ibrahim H, Taha M. A., Mohamed N. A., Fathy Z, AboAlNaga B. M.: Chapter Eleven - Medical nanorobots: Design, applications and future challenges. Azar A. T., Ed.; In Control Systems Design of Bio-Robotics and Bio-mechatronics with Advanced Applications; Academic Press, 2020; pp 329–394 10.1016/B978-0-12-817463-0.00011-3. [DOI] [Google Scholar]
  20. Aggarwal M.; Kumar S. The Use of Nanorobotics in the Treatment Therapy of Cancer and Its Future Aspects: A Review. Cureus 2022, 14, e29366. 10.7759/cureus.29366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hu C.; Pané S.; Nelson B. J. Soft Micro- and Nanorobotics. Annu. Rev. Control Robot Auton Syst. 2018, 1, 53–75. 10.1146/annurev-control-060117-104947. [DOI] [Google Scholar]
  22. Schrittwieser S.; Haslinger M. J.; Mitteramskogler T.; et al. Multifunctional Nanostructures and Nanopocket Particles Fabricated by Nanoimprint Lithography. Nanomaterials (Basel). 2019, 9, 1790. 10.3390/nano9121790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Betancourt T.; Brannon-Peppas L. Micro- and nanofabrication methods in nanotechnological medical and pharmaceutical devices. Int. J. Nanomedicine. 2006, 1, 483–95. 10.2147/nano.2006.1.4.483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Atkinson N.; Morhart T. A.; Wells G.; et al. Microfabrication Process Development for a Polymer-Based Lab-on-Chip Concept Applied in Attenuated Total Reflection Fourier Transform Infrared Spectroelectrochemistry. Sensors. 2023, 23, 6251. 10.3390/s23146251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bao J.; Yang Z.; Nakajima M.; Shen Y.; Takeuchi M.; Huang Q.; Fukuda T. Self-Actuating Asymmetric Platinum Catalytic Mobile Nanorobot. IEEE Transactions on Robotics. 2014, 30, 33–9. 10.1109/TRO.2013.2291618. [DOI] [Google Scholar]
  26. Hayakawa T.; Fukada S.; Arai F. Fabrication of an On-Chip Nanorobot Integrating Functional Nanomaterials for Single-Cell Punctures. IEEE Transactions on Robotics. 2014, 30, 59–67. 10.1109/TRO.2013.2284402. [DOI] [Google Scholar]
  27. Parekh R., Dhavse R.: Nanofabrication. Nanoelectronics: Physics, Technology and Applications; IOP Publishing, 2023, 10.1088/978-0-7503-4811-9ch7. [DOI] [Google Scholar]
  28. 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]
  29. Thompson L. F.An Introduction to Lithography. Introduction to Microlithography; American Chemical Society, 1983; pp 1–13 10.1021/bk-1983-0219.ch001. [DOI] [Google Scholar]
  30. Turner S. R.; Daly R. C.. 7 - Photochemical and Radiation Sensitive Resists. Allen G., Bevington J. C., Eds.; In Comprehensive Polymer Science and Supplements; Pergamon: Amsterdam, 1989; pp 193–225 10.1016/B978-0-08-096701-1.00187-7. [DOI] [Google Scholar]
  31. Pai J.-H.; Wang Y.; Salazar G. T.; Sims C. E.; Bachman M.; Li G. P.; Allbritton N. L. Photoresist with Low Fluorescence for Bioanalytical Applications. Anal. Chem. 2007, 79, 8774–80. 10.1021/ac071528q. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Fukada S.; Onda K.; Maruyama H.; Masuda T.; Arai F.. 3D fabrication and manipulation of hybrid nanorobots by laser. 2013 IEEE International Conference on Robotics and Automation. 2013, 2594–2599, 10.1109/ICRA.2013.6630932. [DOI]
  33. Paladiya C.; Kiani A. Nano structured sensing surface: Significance in sensor fabrication. Sensors and Actuators B: Chemical. 2018, 268, 494–511. 10.1016/j.snb.2018.04.085. [DOI] [Google Scholar]
  34. Choy K. L. Chemical vapour deposition of coatings. Progress in Materials Science. 2003, 48, 57–170. 10.1016/S0079-6425(01)00009-3. [DOI] [Google Scholar]
  35. Shi Y.; He L.; Guang F.; Li L.; Xin Z.; Liu R. A Review: Preparation, Performance, and Applications of Silicon Oxynitride Film. Micromachines (Basel). 2019, 10, 552. 10.3390/mi10080552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Perkowitz S.; Seiler D. G.; Duncan W. M. Optical Characterization in Microelectronics Manufacturing. J. Res. Natl. Inst Stand Technol. 1994, 99, 605–39. 10.6028/jres.099.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Dahmen K.-H.Chemical Vapor Deposition. Meyers R. A., Ed.; In Encyclopedia of Physical Science and Technology, 3rd ed.; Academic Press: New York, 2003; pp 787–808 10.1016/B0-12-227410-5/00102-2. [DOI] [Google Scholar]
  38. Huff M. Review Paper: Residual Stresses in Deposited Thin-Film Material Layers for Micro- and Nano-Systems Manufacturing. Micromachines (Basel). 2022, 13, 2084. 10.3390/mi13122084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Panjan P.; Drnovšek A.; Gselman P.; Cekada M.; Panjan M. Review of Growth Defects in Thin Films Prepared by PVD Techniques. Coatings. 2020, 10, 447. 10.3390/coatings10050447. [DOI] [Google Scholar]
  40. Giurlani W.; Zangari G.; Gambinossi F.; et al. Electroplating for Decorative Applications: Recent Trends in Research and Development. Coatings. 2018, 8, 260. 10.3390/coatings8080260. [DOI] [Google Scholar]
  41. Vorobyova M.; Biffoli F.; Giurlani W.; Martinuzzi S. M.; Linser M.; Caneschi A.; Innocenti M. PVD for Decorative Applications: A Review. Materials. 2023, 16, 4919. 10.3390/ma16144919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Başol B. M.Application of electrochemical deposition techniques to thin film solar cell processing. Thin Film Solar Technology III; SPIE, 2011; pp 126–34 10.1117/12.896362. [DOI] [Google Scholar]
  43. Wang H.; Pumera M. Fabrication of Micro/Nanoscale Motors. Chem. Rev. 2015, 115, 8704–35. 10.1021/acs.chemrev.5b00047. [DOI] [PubMed] [Google Scholar]
  44. Zheng Z.; Wang H.; Demir S. O.; Huang Q.; Fukuda T.; Sitti M. Programmable aniso-electrodeposited modular hydrogel microrobots. Sci. Adv. 2022, 8, eade6135. 10.1126/sciadv.ade6135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Casado N.; Hernández G.; Sardon H.; Mecerreyes D. Current trends in redox polymers for energy and medicine. Prog. Polym. Sci. 2016, 52, 107–35. 10.1016/j.progpolymsci.2015.08.003. [DOI] [Google Scholar]
  46. Li J.; Angsantikul P.; Liu W.; et al. Biomimetic Platelet-Camouflaged Nanorobots for Binding and Isolation of Biological Threats. Adv. Mater. 2018, 30, 10.1002/adma.201704800. [DOI] [PubMed] [Google Scholar]
  47. Jang B.; Hong A.; Alcantara C.; et al. Programmable Locomotion Mechanisms of Nanowires with Semihard Magnetic Properties Near a Surface Boundary. ACS Appl. Mater. Interfaces. 2019, 11, 3214–23. 10.1021/acsami.8b16907. [DOI] [PubMed] [Google Scholar]
  48. Dumbbell Fluidic Tweezers for Dynamical Trapping and Selective Transport of Microobjects - Zhou - 2017 - Advanced Functional Materials - Wiley Online Library. Accessed: May 23, 2024. https://onlinelibrary.wiley.com/doi/10.1002/adfm.201604571.
  49. Li T.; Li J.; Zhang H.; et al. Magnetically Propelled Fish-Like Nanoswimmers. Small. 2016, 12, 6098–105. 10.1002/smll.201601846. [DOI] [PubMed] [Google Scholar]
  50. Li T.; Li J.; Morozov K. I.; et al. Highly Efficient Freestyle Magnetic Nanoswimmer. Nano Lett. 2017, 17, 5092–8. 10.1021/acs.nanolett.7b02383. [DOI] [PubMed] [Google Scholar]
  51. Jang B.; Gutman E.; Stucki N.; et al. Undulatory Locomotion of Magnetic Multilink Nanoswimmers. Nano Lett. 2015, 15, 4829–33. 10.1021/acs.nanolett.5b01981. [DOI] [PubMed] [Google Scholar]
  52. Mushtaq F.; Torlakcik H.; Hoop M.; et al. Motile Piezoelectric Nanoeels for Targeted Drug Delivery. Advanced Functional Materials. 2019, 29, 1808135. 10.1002/adfm.201808135. [DOI] [Google Scholar]
  53. Huczko A. Template-based synthesis of nanomaterials. Applied Physics A: Materials Science & Processing. 2000, 70, 365–76. 10.1007/s003390051050. [DOI] [Google Scholar]
  54. Fortuna L.; Buscarino A. Microrobots in Micromachines. Micromachines (Basel). 2022, 13, 1207. 10.3390/mi13081207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Micromachines | Free Full-Text | Preparation, Stimulus–Response Mechanisms and Applications of Micro/Nanorobots. Accessed: March 3, 2024. https://www.mdpi.com/2072-666X/14/12/2253.
  56. Paxton W. F.; Kistler K. C.; Olmeda C. C.; et al. Catalytic Nanomotors: Autonomous Movement of Striped Nanorods. J. Am. Chem. Soc. 2004, 126, 13424–31. 10.1021/ja047697z. [DOI] [PubMed] [Google Scholar]
  57. Fournier-Bidoz S. C.; Arsenault A.; Manners I. A.; Ozin G. Synthetic self-propelled nanorotors. Chemical Communications. 2005, 0, 441–443. 10.1039/b414896g. [DOI] [PubMed] [Google Scholar]
  58. Ambulo C. P.; Burroughs J. J.; Boothby J. M.; Kim H.; Shankar M. R.; Ware T. H. Four-dimensional Printing of Liquid Crystal Elastomers. ACS Appl. Mater. Interfaces. 2017, 9, 37332–9. 10.1021/acsami.7b11851. [DOI] [PubMed] [Google Scholar]
  59. Hu L.; Wang N.; Tao K.; Hu L.; Wang N.; Tao K.. Catalytic Micro/Nanomotors: Propulsion Mechanisms, Fabrication, Control, and Applications. Smart Nanosystems for Biomedicine, Optoelectronics and Catalysis; IntechOpen, 2020; 10.5772/intechopen.90456. [DOI] [Google Scholar]
  60. Huang Z.; Tsui GC-P; Deng Y.; Tang C.-Y. Two-photon polymerization nanolithography technology for fabrication of stimulus-responsive micro/nano-structures for biomedical applications. Nanotechnology Reviews. 2020, 9, 1118–1136. 10.1515/ntrev-2020-0073. [DOI] [Google Scholar]
  61. Nguyen A. K.; Narayan R. J. Two-photon polymerization for biological applications. Materials Today. 2017, 20, 314–22. 10.1016/j.mattod.2017.06.004. [DOI] [Google Scholar]
  62. Wan X.; Zhao Y.; Xue J.; Wu F.; Fang X. Water-soluble benzylidene cyclopentanone dye for two-photon photopolymerization. Journal of Photochemistry and Photobiology A: Chemistry. 2009, 202, 74–9. 10.1016/j.jphotochem.2008.10.029. [DOI] [Google Scholar]
  63. Palagi S.; Singh D. P.; Fischer P. Light-Controlled Micromotors and Soft Microrobots. Advanced Optical Materials. 2019, 7, 1900370. 10.1002/adom.201900370. [DOI] [Google Scholar]
  64. Micromachines | Free Full-Text | Evolution of the Microrobots: Stimuli-Responsive Materials and Additive Manufacturing Technologies Turn Small Structures into Microscale Robots. Accessed: August 3, 2024. https://www.mdpi.com/2072-666X/15/2/275. [DOI] [PMC free article] [PubMed]
  65. Wei K.; Tang C.; Ma H.; Fang X.; Yang R. 3D-printed microrobots for biomedical applications. Biomater Sci. 2024, 12, 4301. 10.1039/D4BM00674G. [DOI] [PubMed] [Google Scholar]
  66. Ceylan H.; Yasa I. C.; Yasa O.; Tabak A. F.; Giltinan J.; Sitti M. 3D-Printed Biodegradable Microswimmer for Drug Delivery and Targeted Cell Labeling. bioRxiv 2018, 10.1101/379024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ma J.; Jiang L.; Pan X.; Ma H.; Lin B.; Qin J. A simple photolithography method for microfluidic device fabrication using sunlight as UV source. Microfluid Nanofluid. 2010, 9, 1247–52. 10.1007/s10404-010-0630-3. [DOI] [Google Scholar]
  68. Palankar R.; Medvedev N.; Rong A.; Delcea M. Fabrication of Quantum Dot Microarrays Using Electron Beam Lithography for Applications in Analyte Sensing and Cellular Dynamics. ACS Nano 2013, 7, 4617–28. 10.1021/nn401424y. [DOI] [PubMed] [Google Scholar]
  69. Friedrich C.; Coane P.; Goettert J.; Gopinathin N. Direct fabrication of deep x-ray lithography masks by micromechanical milling. Precision Engineering. 1998, 22, 164–73. 10.1016/S0141-6359(98)00012-9. [DOI] [Google Scholar]
  70. Jenkins G.Rapid Prototyping of PDMS Devices Using SU-8 Lithography. Jenkins G., Mansfield C. D., Eds.; Microfluidic Diagnostics: Methods and Protocols; Humana Press: Totowa, NJ, 2013; pp 153–168 10.1007/978-1-62703-134-9_11. [DOI] [PubMed] [Google Scholar]
  71. Sun H.-B.; Kawata S.. Two-Photon Photopolymerization and 3D Lithographic Microfabrication. Fatkullin N., Ikehara T., Jinnai H., et al. Eds.; In NMR • 3D Analysis • Photopolymerization. Springer: Berlin, 2004; pp 169–273 10.1007/b94405. [DOI] [Google Scholar]
  72. He W.ALD: Atomic Layer Deposition, Precise and Conformal Coating for Better Performance. Nee A., Ed.; In Handbook of Manufacturing Engineering and Technology; Springer: London, 2013; pp 1–33 10.1007/978-1-4471-4976-7_80-1. [DOI] [Google Scholar]
  73. Chen X.; Jiang S.; Li Y.; Jiang Y.; Wang W.; Bayanheshig Fabrication of ultra-high aspect ratio silicon grating using an alignment method based on a scanning beam interference lithography system. Opt Express, OE 2022, 30, 40842–53. 10.1364/OE.469374. [DOI] [PubMed] [Google Scholar]
  74. Sedighi M.; Shrestha N.; Mahmoudi Z.; et al. Multifunctional Self-Assembled Peptide Hydrogels for Biomedical Applications. Polymers. 2023, 15, 1160. 10.3390/polym15051160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. De Zanet A.; Casalegno V.; Salvo M. Laser surface texturing of ceramics and ceramic composite materials - A review. Ceram. Int. 2021, 47, 7307–20. 10.1016/j.ceramint.2020.11.146. [DOI] [Google Scholar]
  76. Wu X.; Shi W.; Liu X.; Gu Z. Recent advances in 3D-printing-based organ-on-a-chip. EngMedicine. 2024, 1, 100003. 10.1016/j.engmed.2024.100003. [DOI] [Google Scholar]
  77. Yan K.; Li J.; Pan L.; Shi Y. Inkjet printing for flexible and wearable electronics. APL Materials. 2020, 8, 120705. 10.1063/5.0031669. [DOI] [Google Scholar]
  78. Zulkifli M. Z. A.; Nordin D.; Shaari N.; Kamarudin S. K. Overview of Electrospinning for Tissue Engineering Applications. Polymers. 2023, 15, 2418. 10.3390/polym15112418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Zhang L.; Chan J. M.; Gu F. X.; et al. Self-Assembled Lipid-Polymer Hybrid Nanoparticles: A Robust Drug Delivery Platform. ACS Nano 2008, 2, 1696–702. 10.1021/nn800275r. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Bassim N.; Scott K.; Giannuzzi L. A. Recent advances in focused ion beam technology and applications. MRS Bulletin. 2014, 39, 317–25. 10.1557/mrs.2014.52. [DOI] [Google Scholar]
  81. Karimi K.; Fardoost A.; Mhatre N.; Rajan J.; Boisvert D.; Javanmard M. A Thorough Review of Emerging Technologies in Micro- and Nanochannel Fabrication: Limitations, Applications, and Comparison. Micromachines. 2024, 15, 1274. 10.3390/mi15101274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Tonelli D.; Scavetta E.; Gualandi I. Electrochemical Deposition of Nanomaterials for Electrochemical Sensing. Sensors. 2019, 19, 1186. 10.3390/s19051186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Khoz R.; Yazdian F.; Pourmadadi M.; Rahdar A.; Fathi-karkan S.; Pandey S. Current trends in silica based drug delivery systems. European Journal of Medicinal Chemistry Reports. 2024, 12, 100206. 10.1016/j.ejmcr.2024.100206. [DOI] [Google Scholar]
  84. Puliyalil H.; Cvelbar U. Selective Plasma Etching of Polymeric Substrates for Advanced Applications. Nanomaterials. 2016, 6, 108. 10.3390/nano6060108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Cox L. M.; Martinez A. M.; Blevins A. K.; Sowan N.; Ding Y.; Bowman C. N. Nanoimprint lithography: Emergent materials and methods of actuation. Nano Today. 2020, 31, 100838. 10.1016/j.nantod.2019.100838. [DOI] [Google Scholar]
  86. Garg R.; Gonuguntla S.; Sk S.; Iqbal M. S.; Dada A. O.; Pal U.; Ahmadipour M. Sputtering thin films: Materials, applications, challenges and future directions. Adv. Colloid Interface Sci. 2024, 330, 103203. 10.1016/j.cis.2024.103203. [DOI] [PubMed] [Google Scholar]
  87. Xu K.; Liu B. Recent progress in actuation technologies of micro/nanorobots. Beilstein J. Nanotechnol. 2021, 12, 756–65. 10.3762/bjnano.12.59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Walker D.; Kübler M.; Morozov K. I.; Fischer P.; Leshansky A. M. Optimal Length of Low Reynolds Number Nanopropellers. Nano Lett. 2015, 15, 4412–6. 10.1021/acs.nanolett.5b01925. [DOI] [PubMed] [Google Scholar]
  89. Xu K.; Liu B. Recent progress in actuation technologies of micro/nanorobots. Beilstein J. Nanotechnol. 2021, 12, 756–65. 10.3762/bjnano.12.59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Weiden J.; Bastings M. M. C. DNA origami nanostructures for controlled therapeutic drug delivery. Curr. Opin. Colloid Interface Sci. 2021, 52, 101411. 10.1016/j.cocis.2020.101411. [DOI] [Google Scholar]
  91. Zhang Y.; Zhang Y.; Han Y.; Gong X. Micro/Nanorobots for Medical Diagnosis and Disease Treatment. Micromachines. 2022, 13, 648. 10.3390/mi13050648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Andhari S. S.; Wavhale R. D.; Dhobale K. D.; et al. Self-Propelling Targeted Magneto-Nanobots for Deep Tumor Penetration and pH-Responsive Intracellular Drug Delivery. Sci. Rep. 2020, 10, 4703. 10.1038/s41598-020-61586-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Li J.; Dekanovsky L.; Khezri B.; Wu B.; Zhou H.; Sofer Z. Biohybrid Micro- and Nanorobots for Intelligent Drug Delivery. Cyborg Bionic Syst. 2022, 2022, 9824057. 10.34133/2022/9824057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Ning H.; Zhang Y.; Zhu H.; Ingham A.; Huang G.; Mei Y.; Solovev A. A. Geometry Design, Principles and Assembly of Micromotors. Micromachines. 2018, 9, 75. 10.3390/mi9020075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Arqué X.; Torres M. D. T.; Patiño T.; Boaro A.; Sánchez S.; Fuente-Nunez C de la Autonomous Treatment of Bacterial Infections in Vivo Using Antimicrobial Micro- and Nanomotors. ACS Nano 2022, 16, 7547. 10.1021/acsnano.1c11013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Huang X.; Jain P. K.; El-Sayed I. H.; El-Sayed M. A. Plasmonic photothermal therapy (PPTT) using gold nanoparticles. Lasers Med. Sci. 2008, 23, 217–28. 10.1007/s10103-007-0470-x. [DOI] [PubMed] [Google Scholar]
  97. Dong R.; Zhang Q.; Gao W.; Pei A.; Ren B. Highly Efficient Light-Driven TiO 2 -Au Janus Micromotors. ACS Nano 2016, 10, 839–44. 10.1021/acsnano.5b05940. [DOI] [PubMed] [Google Scholar]
  98. 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]
  99. Li D.; Tang G.; Yao H.; et al. Formulation of pH-responsive PEGylated nanoparticles with high drug loading capacity and programmable drug release for enhanced antibacterial activity. Bioact Mater. 2022, 16, 47–56. 10.1016/j.bioactmat.2022.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Sánchez-Moreno P.; de Vicente J.; Nardecchia S.; Marchal J. A.; Boulaiz H. Thermo-Sensitive Nanomaterials: Recent Advance in Synthesis and Biomedical Applications. Nanomaterials (Basel). 2018, 8, 935. 10.3390/nano8110935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Volpatti L. R.; Matranga M. A.; Cortinas A. B.; Delcassian D.; Daniel K. B.; Langer R.; Anderson D. G. Glucose-Responsive Nanoparticles for Rapid and Extended Self-Regulated Insulin Delivery. ACS Nano 2020, 14, 488–97. 10.1021/acsnano.9b06395. [DOI] [PubMed] [Google Scholar]
  102. Kushwaha A.; Goswami L.; Kim B. S. Nanomaterial-Based Therapy for Wound Healing. Nanomaterials. 2022, 12, 618. 10.3390/nano12040618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Crapnell R. D.; Banks C. E. Electroanalytical overview: utilising micro- and nano-dimensional sized materials in electrochemical-based biosensing platforms. Mikrochim. Acta 2021, 188, 268. 10.1007/s00604-021-04913-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Zhou H.; Mayorga-Martinez C. C.; Pané S.; Zhang L.; Pumera M. Magnetically Driven Micro and Nanorobots. Chem. Rev. 2021, 121, 4999–5041. 10.1021/acs.chemrev.0c01234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Hortelão A. C.; Patiño T.; Perez-Jiménez A.; Blanco À; Sánchez S. Enzyme-Powered Nanobots Enhance Anticancer Drug Delivery. Adv. Funct Materials. 2018, 28, 1705086. 10.1002/adfm.201705086. [DOI] [Google Scholar]
  106. Xu C.; Wang S.; Wang H.; et al. Magnesium-Based Micromotors as Hydrogen Generators for Precise Rheumatoid Arthritis Therapy. Nano Lett. 2021, 21, 1982–91. 10.1021/acs.nanolett.0c04438. [DOI] [PubMed] [Google Scholar]
  107. Nguyen V. D.; Han J.-W.; Choi Y. J.; et al. Active tumor-therapeutic liposomal bacteriobot combining a drug (paclitaxel)-encapsulated liposome with targeting bacteria (Salmonella Typhimurium). Sensors and Actuators B: Chemical. 2016, 224, 217–24. 10.1016/j.snb.2015.09.034. [DOI] [Google Scholar]
  108. Li J.; Thamphiwatana S.; Liu W.; et al. Enteric Micromotor Can Selectively Position and Spontaneously Propel in the Gastrointestinal Tract. ACS Nano 2016, 10, 9536–42. 10.1021/acsnano.6b04795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Wang Z.-H.; Chu M.; Yin N.; et al. Biological chemotaxis-guided self-thermophoretic nanoplatform augments colorectal cancer therapy through autonomous mucus penetration. Sci. Adv. 2022, 8, eabn3917 10.1126/sciadv.abn3917. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Wu Y.; Song Z.; Deng G.; Jiang K.; Wang H.; Zhang X.; Han H. Gastric Acid Powered Nanomotors Release Antibiotics for In Vivo Treatment of Helicobacter pylori Infection. Small. 2021, 17, 2006877. 10.1002/smll.202006877. [DOI] [PubMed] [Google Scholar]
  111. Karshalev E.; Zhang Y.; Esteban-Fernández De Ávila B.; et al. Micromotors for Active Delivery of Minerals toward the Treatment of Iron Deficiency Anemia. Nano Lett. 2019, 19, 7816–26. 10.1021/acs.nanolett.9b02832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Park J.; Jin C.; Lee S.; Kim J.; Choi H. Magnetically Actuated Degradable Microrobots for Actively Controlled Drug Release and Hyperthermia Therapy. Adv. Healthcare Materials. 2019, 8, 1900213. 10.1002/adhm.201900213. [DOI] [PubMed] [Google Scholar]
  113. 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 Materials. 2018, 28, 1804343. 10.1002/adfm.201804343. [DOI] [Google Scholar]
  114. Wei X.; Beltrán-Gastélum M.; Karshalev E.; et al. Biomimetic Micromotor Enables Active Delivery of Antigens for Oral Vaccination. Nano Lett. 2019, 19, 1914–21. 10.1021/acs.nanolett.8b05051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Kim D.; Lee H.; Kwon S.; Sung Y. J.; Song W. K.; Park S. Bilayer Hydrogel Sheet-Type Intraocular Microrobot for Drug Delivery and Magnetic Nanoparticles Retrieval. Adv. Healthcare Materials. 2020, 9, 2000118. 10.1002/adhm.202000118. [DOI] [PubMed] [Google Scholar]
  116. Yan X.; Zhou Q.; Yu J.; et al. Magnetite Nanostructured Porous Hollow Helical Microswimmers for Targeted Delivery. Adv. Funct Materials. 2015, 25, 5333–42. 10.1002/adfm.201502248. [DOI] [Google Scholar]
  117. 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]
  118. Peng F.; Men Y.; Tu Y.; Chen Y.; Wilson D. A. Nanomotor-Based Strategy for Enhanced Penetration across Vasculature Model. Adv. Funct Materials. 2018, 28, 1706117. 10.1002/adfm.201706117. [DOI] [Google Scholar]
  119. Wan M.; Chen H.; Wang Q.; et al. Bio-inspired nitric-oxide-driven nanomotor. Nat. Commun. 2019, 10, 966. 10.1038/s41467-019-08670-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Zhou H.; Mayorga-Martinez C. C.; Pané S.; Zhang L.; Pumera M. Magnetically Driven Micro and Nanorobots. Chem. Rev. 2021, 121, 4999–5041. 10.1021/acs.chemrev.0c01234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Dreyfus R.; Baudry J.; Roper M. L.; Fermigier M.; Stone H. A.; Bibette J. Microscopic artificial swimmers. Nature. 2005, 437, 862–5. 10.1038/nature04090. [DOI] [PubMed] [Google Scholar]
  122. Steager E.; Sakar M.; Magee C.; Kennedy M.; Cowley A. Automated Biomanipulation of Single Cells using Magnetic Microrobots. International Journal of Robotics Research. 2013, 32, 346–359. 10.1177/0278364912472381. [DOI] [Google Scholar]
  123. Mushtaq F.; Torlakcik H.; Hoop M.; et al. Motile Piezoelectric Nanoeels for Targeted Drug Delivery. Advanced Functional Materials. 2019, 29, 1808135. 10.1002/adfm.201808135. [DOI] [Google Scholar]
  124. Wang X.; Ho C.; Tsatskis Y.; et al. Intracellular manipulation and measurement with multipole magnetic tweezers. Sci. Robot. 2019, 4, eaav6180 10.1126/scirobotics.aav6180. [DOI] [PubMed] [Google Scholar]
  125. Kim E.; Jeon S.; An H.-K.; et al. 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]
  126. Zheng Z.; Wang H.; Dong L.; et al. Ionic shape-morphing microrobotic end-effectors for environmentally adaptive targeting, releasing, and sampling. Nat. Commun. 2021, 12, 411. 10.1038/s41467-020-20697-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Jeong J.; Jang D.; Kim D.; Lee D.; Chung S. K. Acoustic bubble-based drug manipulation: Carrying, releasing and penetrating for targeted drug delivery using an electromagnetically actuated microrobot. Sensors and Actuators A: Physical. 2020, 306, 111973. 10.1016/j.sna.2020.111973. [DOI] [Google Scholar]
  128. Si W.; Yu M.; Wu G.; Chen C.; Sha J.; Zhang Y.; Chen Y. A Nanoparticle-DNA Assembled Nanorobot Powered by Charge-Tunable Quad-Nanopore System. ACS Nano 2020, 14, 15349–60. 10.1021/acsnano.0c05779. [DOI] [PubMed] [Google Scholar]
  129. Qu C.; Pei Y.-C.; Xu L.; Xia Z.-R.; Xin Q.-Y. A Study on Electromagnetic Field and Force for Magnetic Micro-Robots Applications. PIER M. 2020, 97, 201–13. 10.2528/PIERM20073005. [DOI] [Google Scholar]
  130. Zhang L.; Xiao Z.; Chen X.; Chen J.; Wang W. Confined 1D Propulsion of Metallodielectric Janus Micromotors on Microelectrodes under Alternating Current Electric Fields. ACS Nano 2019, 13, 8842–53. 10.1021/acsnano.9b02100. [DOI] [PubMed] [Google Scholar]
  131. Guo J.; Gallegos J. J.; Tom A. R.; Fan D. Electric-Field-Guided Precision Manipulation of Catalytic Nanomotors for Cargo Delivery and Powering Nanoelectromechanical Devices. ACS Nano 2018, 12, 1179–87. 10.1021/acsnano.7b06824. [DOI] [PubMed] [Google Scholar]
  132. Jang Y.; Kim S. M.; Kim E.; Lee D. Y.; Kang T. M.; Kim S. J. Biomimetic cell-actuated artificial muscle with nanofibrous bundles. Microsyst Nanoeng. 2021, 7, 70. 10.1038/s41378-021-00280-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Kim I. H.; Choi S.; Lee J.; et al. Human-muscle-inspired single fibre actuator with reversible percolation. Nat. Nanotechnol. 2022, 17, 1198–205. 10.1038/s41565-022-01220-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Elnaggar A.; Kang S.; Tian M.; Han B.; Keshavarz M. State of the Art in Actuation of Micro/Nanorobots for Biomedical Applications. Small Science. 2024, 4, 2300211. 10.1002/smsc.202300211. [DOI] [Google Scholar]
  135. Li M.; Hu X.; Zhao Y.; Jiao N. An Overview of Recent Progress in Micro/Nanorobots for Biomedical Applications. Advanced Materials Technologies. 2023, 8, 2201928. 10.1002/admt.202201928. [DOI] [Google Scholar]
  136. Wang D.; Gao C.; Si T.; Li Z.; Guo B.; He Q. Near-infrared light propelled motion of needlelike liquid metal nanoswimmers. Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2021, 611, 125865. 10.1016/j.colsurfa.2020.125865. [DOI] [Google Scholar]
  137. Sato Y.; Hiratsuka Y.; Kawamata I.; Murata S.; Nomura S. Micrometer-sized molecular robot changes its shape in response to signal molecules. Science Robotics. 2017, 2, eaal3735 10.1126/scirobotics.aal3735. [DOI] [PubMed] [Google Scholar]
  138. Miskin M. Z.; Cortese A. J.; Dorsey K.; et al. Electronically integrated, mass-manufactured, microscopic robots. Nature. 2020, 584, 557–61. 10.1038/s41586-020-2626-9. [DOI] [PubMed] [Google Scholar]
  139. Light-Propelled Nanorobots for Facial Titanium Implants Biofilms Removal - Ussia - 2022 - Small - Wiley Online Library. Accessed: May 23, 2024. https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.202200708. [DOI] [PubMed]
  140. Wu Z.; Lin X.; Wu Y.; Si T.; Sun J.; He Q. Near-Infrared Light-Triggered “On/Off” Motion of Polymer Multilayer Rockets. ACS Nano 2014, 8, 6097–105. 10.1021/nn501407r. [DOI] [PubMed] [Google Scholar]
  141. 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]
  142. Wang W.; Castro L. A.; Hoyos M.; Mallouk T. E. Autonomous Motion of Metallic Microrods Propelled by Ultrasound. ACS Nano 2012, 6, 6122–32. 10.1021/nn301312z. [DOI] [PubMed] [Google Scholar]
  143. Lee H.-S.; Go G.; Choi E.; Kang B.; Park J.-O.; Kim C.-S. Medical Microrobot - Wireless Manipulation of a Drug Delivery Carrier through an External Ultrasonic Actuation: Preliminary Results. Int. J. Control Autom Syst. 2020, 18, 175–85. 10.1007/s12555-019-0239-6. [DOI] [Google Scholar]
  144. 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. Advanced Functional Materials. 2020, 30, 2004043. 10.1002/adfm.202004043. [DOI] [Google Scholar]
  145. Paproski R. J.; Forbrich A.; Huynh E.; Chen J.; Lewis J. D.; Zheng G.; Zemp R. J. Porphyrin Nanodroplets: Sub-micrometer Ultrasound and Photoacoustic Contrast Imaging Agents. Small. 2016, 12, 371–80. 10.1002/smll.201502450. [DOI] [PubMed] [Google Scholar]
  146. Soto F.; Martin A.; Ibsen S.; et al. Acoustic Microcannons: Toward Advanced Microballistics. ACS Nano 2016, 10, 1522–8. 10.1021/acsnano.5b07080. [DOI] [PubMed] [Google Scholar]
  147. Paris J. L.; Mannaris C.; Cabañas M. V.; Carlisle R.; Manzano M.; Vallet-Regí M.; Coussios C. C. Ultrasound-mediated cavitation-enhanced extravasation of mesoporous silica nanoparticles for controlled-release drug delivery. Chemical Engineering Journal. 2018, 340, 2–8. 10.1016/j.cej.2017.12.051. [DOI] [Google Scholar]
  148. Ismagilov R. F.; Schwartz A.; Bowden N.; Whitesides G. M. Autonomous Movement and Self-Assembly. Angewandte Chemie International Edition. 2002, 41, 652–4. 10.1002/1521-3773(20020215)41:4<652::AID-ANIE652>3.0.CO;2-U. [DOI] [Google Scholar]
  149. Bao J.; Yang Z.; Nakajima M.; Shen Y.; Takeuchi M.; Huang Q.; Fukuda T. Self-Actuating Asymmetric Platinum Catalytic Mobile Nanorobot. IEEE Transactions on Robotics. 2014, 30, 33–9. 10.1109/TRO.2013.2291618. [DOI] [Google Scholar]
  150. Chen K.; Chen T.; Liu H.; Yang Z.. A Pt/Au hybrid self-actuating nanorobot towards to durg delivery system. 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems; 2015; pp 286–289, 10.1109/NEMS.2015.7147428. [DOI]
  151. Chen K.; Gu C.; Yang Z.; Nakajima M.; Chen T.; Fukuda T. Z”-Shaped Rotational Au/Pt Micro-Nanorobot. Micromachines. 2017, 8, 183. 10.3390/mi8060183. [DOI] [Google Scholar]
  152. Xu D.; Zhan C.; Sun Y.; Dong Z.; Wang G. P.; Ma X. Turn-Number-Dependent Motion Behavior of Catalytic Helical Carbon Micro/Nanomotors. Chemistry An Asian Journal. 2019, 14, 2497–502. 10.1002/asia.201900386. [DOI] [PubMed] [Google Scholar]
  153. Villa K.; Viktorova J.; Plutnar J.; Ruml T.; Hoang L.; Pumera M. Chemical Microrobots as Self-Propelled Microbrushes against Dental Biofilm. Cell Reports Physical Science. 2020, 1, 100181. 10.1016/j.xcrp.2020.100181. [DOI] [Google Scholar]
  154. Arqué X.; Torres M. D. T.; Patiño T.; Boaro A.; Sánchez S.; de la Fuente-Nunez C. Autonomous Treatment of Bacterial Infections in Vivo Using Antimicrobial Micro- and Nanomotors. ACS Nano 2022, 16, 7547–58. 10.1021/acsnano.1c11013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Micro-/Nanorobots at Work in Active Drug Delivery - Luo - 2018 - Advanced Functional Materials - Wiley Online Library. Accessed: May 23, 2024. https://onlinelibrary.wiley.com/doi/10.1002/adfm.201706100.
  156. Turn-Number-Dependent Motion Behavior of Catalytic Helical Carbon Micro/Nanomotors - Xu - 2019 - Chemistry - An Asian Journal - Wiley Online Library. Accessed: May 23, 2024. https://aces.onlinelibrary.wiley.com/doi/10.1002/asia.201900386. [DOI] [PubMed]
  157. Reversed Janus Micro/Nanomotors with Internal Chemical Engine | ACS Nano. Accessed: May 23, 2024. https://pubs.acs.org/doi/10.1021/acsnano.6b04358?src=getftr. [DOI] [PMC free article] [PubMed]
  158. Ma X.; Jang S.; Popescu M. N.; et al. Reversed Janus Micro/Nanomotors with Internal Chemical Engine. ACS Nano 2016, 10, 8751–9. 10.1021/acsnano.6b04358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  159. Patino T.; Porchetta A.; Jannasch A.; et al. Self-Sensing Enzyme-Powered Micromotors Equipped with pH-Responsive DNA Nanoswitches. Nano Lett. 2019, 19, 3440–7. 10.1021/acs.nanolett.8b04794. [DOI] [PubMed] [Google Scholar]
  160. Wang L.; Hortelão A. C.; Huang X.; Sánchez S. Lipase-Powered Mesoporous Silica Nanomotors for Triglyceride Degradation. Angew. Chem. Int. Ed. 2019, 58, 7992–6. 10.1002/anie.201900697. [DOI] [PubMed] [Google Scholar]
  161. Behkam B.; Sitti M. Bacterial flagella-based propulsion and on/off motion control of microscale objects. Appl. Phys. Lett. 2007, 90, 023902. 10.1063/1.2431454. [DOI] [Google Scholar]
  162. Magdanz V.; Sanchez S.; Schmidt O. G. Development of a Sperm-Flagella Driven Micro-Bio-Robot. Adv. Mater. 2013, 25, 6581–8. 10.1002/adma.201302544. [DOI] [PubMed] [Google Scholar]
  163. Martel S.Towards MRI-Controlled Ferromagnetic and MC-1 Magnetotactic Bacterial Carriers for Targeted Therapies in Arteriolocapillar Networks Stimulated by Tumoral Angiogenesis. In: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society; 2006; pp 3399–3402, 10.1109/IEMBS.2006.260413. [DOI] [PubMed]
  164. Xing J.; Yin T.; Li S.; et al. Sequential Magneto-Actuated and Optics-Triggered Biomicrorobots for Targeted Cancer Therapy. Adv. Funct Materials. 2021, 31, 2008262. 10.1002/adfm.202008262. [DOI] [Google Scholar]
  165. Wu Z.; Li T.; Li J.; et al. Turning Erythrocytes into Functional Micromotors. ACS Nano 2014, 8, 12041–8. 10.1021/nn506200x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Park B.-W.; Zhuang J.; Yasa O.; Sitti M. Multifunctional Bacteria-Driven Microswimmers for Targeted Active Drug Delivery. ACS Nano 2017, 11, 8910–23. 10.1021/acsnano.7b03207. [DOI] [PubMed] [Google Scholar]
  167. Soft erythrocyte-based bacterial microswimmers for cargo delivery. Accessed: May 23, 2024. https://www.science.org/doi/epdf/10.1126/scirobotics.aar4423. [DOI] [PubMed]
  168. Ceylan H.; Yasa I. C.; Kilic U.; Hu W.; Sitti M. Translational prospects of untethered medical microrobots. Prog. Biomed Eng. 2019, 1, 012002. 10.1088/2516-1091/ab22d5. [DOI] [Google Scholar]
  169. Yan X.; Zhou Q.; Vincent M.; et al. Multifunctional biohybrid magnetite microrobots for imaging-guided therapy. Sci. Robot. 2017, 2, eaaq1155 10.1126/scirobotics.aaq1155. [DOI] [PubMed] [Google Scholar]
  170. 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, 9617–25. 10.1021/acsnano.8b05997. [DOI] [PubMed] [Google Scholar]
  171. De Ávila BE-F; Angsantikul P.; Li J.; et al. Micromotor-enabled active drug delivery for in vivo treatment of stomach infection. Nat. Commun. 2017, 8, 272. 10.1038/s41467-017-00309-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. 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, 117–23. 10.1021/nn507097k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. 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]
  174. Controlled In Vivo Swimming of a Swarm of Bacteria-Like Microrobotic Flagella - Servant - 2015 - Advanced Materials - Wiley Online Library. Accessed: May 23, 2024. https://onlinelibrary.wiley.com/doi/10.1002/adma.201404444. [DOI] [PubMed]
  175. Felfoul O.; Mohammadi M.; Taherkhani S.; et al. Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions. Nat. Nanotechnol. 2016, 11, 941–7. 10.1038/nnano.2016.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Zhang F.; Mundaca-Uribe R.; Gong H.; et al. A Macrophage-Magnesium Hybrid Biomotor: Fabrication and Characterization. Adv. Mater. 2019, 31, 1901828. 10.1002/adma.201901828. [DOI] [PubMed] [Google Scholar]
  177. 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]
  178. Wavhale R. D.; Dhobale K. D.; Rahane C. S.; et al. Water-powered self-propelled magnetic nanobot for rapid and highly efficient capture of circulating tumor cells. Commun. Chem. 2021, 4, 159. 10.1038/s42004-021-00598-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Zhou M.; Hou T.; Li J.; et al. Self-Propelled and Targeted Drug Delivery of Poly(aspartic acid)/Iron-Zinc Microrocket in the Stomach. ACS Nano 2019, 13, 1324–32. 10.1021/acsnano.8b06773. [DOI] [PubMed] [Google Scholar]
  180. Guix M.; Meyer A. K.; Koch B.; Schmidt O. G. Carbonate-based Janus micromotors moving in ultra-light acidic environment generated by HeLa cells in situ. Sci. Rep. 2016, 6, 21701. 10.1038/srep21701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  181. Wu Z.; Li L.; Yang Y.; et al. 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]
  182. Baylis J. R.; Yeon J. H.; Thomson M. H.; et al. Self-propelled particles that transport cargo through flowing blood and halt hemorrhage. Sci. Adv. 2015, 1, e1500379 10.1126/sciadv.1500379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  183. 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, 2982–93. 10.1021/acsnano.9b07851. [DOI] [PubMed] [Google Scholar]
  184. 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]
  185. 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. (Weinh). 2018, 5, 1800807. 10.1002/advs.201800807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  186. Zeng X.; Yang M.; Liu H.; Zhang Z.; Hu Y.; Shi J.; Wang Z.-H. Light-driven micro/nanomotors in biomedical applications. Nanoscale. 2023, 15, 18550–70. 10.1039/D3NR03760F. [DOI] [PubMed] [Google Scholar]
  187. Oral C. M.; Pumera M. In vivo applications of micro/nanorobots. Nanoscale. 2023, 15, 8491–507. 10.1039/D3NR00502J. [DOI] [PubMed] [Google Scholar]
  188. Xu C.; Wang S.; Wang H.; et al. Magnesium-Based Micromotors as Hydrogen Generators for Precise Rheumatoid Arthritis Therapy. Nano Lett. 2021, 21, 1982–91. 10.1021/acs.nanolett.0c04438. [DOI] [PubMed] [Google Scholar]
  189. Yan X.; Zhou Q.; Yu J.; et al. Magnetite Nanostructured Porous Hollow Helical Microswimmers for Targeted Delivery. Adv. Funct Materials. 2015, 25, 5333–42. 10.1002/adfm.201502248. [DOI] [Google Scholar]
  190. Wan M.; Chen H.; Wang Q.; et al. Bio-inspired nitric-oxide-driven nanomotor. Nat. Commun. 2019, 10, 966. 10.1038/s41467-019-08670-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  191. Lane T. A short history of robotic surgery. annals. 2018, 100, 5–7. 10.1308/rcsann.supp1.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  192. Eichel L.; Ahlering T. E.; Clayman R. V. Role of robotics in laparoscopic urologic surgery. Urologic Clinics of North America. 2004, 31, 781–92. 10.1016/j.ucl.2004.06.014. [DOI] [PubMed] [Google Scholar]
  193. Eadie L. H.; Seifalian A. M.; Davidson B. R. Telemedicine in surgery. British Journal of Surgery. 2003, 90, 647–58. 10.1002/bjs.4168. [DOI] [PubMed] [Google Scholar]
  194. Sung G. T.; Gill I. S. Robotic laparoscopic surgery: a comparison of the da Vinci and Zeus systems. Urology. 2001, 58, 893–8. 10.1016/S0090-4295(01)01423-6. [DOI] [PubMed] [Google Scholar]
  195. Challacombe B. J.; Khan M. S.; Murphy D.; Dasgupta P. The history of robotics in urology. World J. Urol. 2006, 24, 120–7. 10.1007/s00345-006-0067-1. [DOI] [PubMed] [Google Scholar]
  196. Peters B. S.; Armijo P. R.; Krause C.; Choudhury S. A.; Oleynikov D. Review of emerging surgical robotic technology. Surg Endosc. 2018, 32, 1636–55. 10.1007/s00464-018-6079-2. [DOI] [PubMed] [Google Scholar]
  197. Fernandes R.; Gracias D. H. Toward a miniaturized mechanical surgeon. Materials Today. 2009, 12, 14–20. 10.1016/S1369-7021(09)70272-X. [DOI] [Google Scholar]
  198. Yu C.; Kim J.; Choi H.; et al. Novel electromagnetic actuation system for three-dimensional locomotion and drilling of intravascular microrobot. Sensors and Actuators A: Physical. 2010, 161, 297–304. 10.1016/j.sna.2010.04.037. [DOI] [Google Scholar]
  199. Jeong S.; Choi H.; Go G.; et al. Penetration of an artificial arterial thromboembolism in a live animal using an intravascular therapeutic microrobot system. Medical Engineering & Physics. 2016, 38, 403–10. 10.1016/j.medengphy.2016.01.001. [DOI] [PubMed] [Google Scholar]
  200. Mahdy D.; Hamdi N.; Hesham S.; Sharkawy A. E.; Khalil I. S. M.. The Influence of Mechanical Rubbing on the Dissolution of Blood Clots. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); IEEE: Honolulu, HI, 2018; pp 1660–1663, 10.1109/EMBC.2018.8512646. [DOI] [PubMed]
  201. Siddique S.; Chow J. C. L. Gold Nanoparticles for Drug Delivery and Cancer Therapy. Applied Sciences. 2020, 10, 3824. 10.3390/app10113824. [DOI] [Google Scholar]
  202. Gonzalez C.; Rosas-Hernandez H.; Ramirez-Lee M. A.; Salazar-García S.; Ali S. F. Role of silver nanoparticles (AgNPs) on the cardiovascular system. Arch. Toxicol. 2016, 90, 493–511. 10.1007/s00204-014-1447-8. [DOI] [PubMed] [Google Scholar]
  203. Utkin Y. N. Brain and Quantum Dots: Benefits of Nanotechnology for Healthy and Diseased Brain. Central Nervous System Agents in Medicinal Chemistry. 2018, 18, 193–205. 10.2174/1871524918666180813141512. [DOI] [PubMed] [Google Scholar]
  204. Vietti G.; Lison D.; van den Brule S. Mechanisms of lung fibrosis induced by carbon nanotubes: towards an Adverse Outcome Pathway (AOP). Particle and Fibre Toxicology. 2015, 13, 11. 10.1186/s12989-016-0123-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  205. Kandasamy G.; Sudame A.; Luthra T.; Saini K.; Maity D. Functionalized Hydrophilic Superparamagnetic Iron Oxide Nanoparticles for Magnetic Fluid Hyperthermia Application in Liver Cancer Treatment. ACS Omega. 2018, 3, 3991–4005. 10.1021/acsomega.8b00207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  206. Liu N.; Li M.; Pang H.; et al. Bioinformatics-driven discovery of silica nanoparticles induces apoptosis and renal damage via the unfolded protein response in NRK-52E cells and rat kidney. Computers in Biology and Medicine. 2024, 168, 107816. 10.1016/j.compbiomed.2023.107816. [DOI] [PubMed] [Google Scholar]
  207. Barui S.; Percivalle N. M.; Conte M.; Dumontel B.; Racca L.; Carofiglio M.; Cauda V. Development of doped ZnO-based biomimicking and tumor-targeted nanotheranostics to improve pancreatic cancer treatment. Cancer Nanotechnology. 2022, 13, 37. 10.1186/s12645-022-00140-z. [DOI] [Google Scholar]
  208. Yang F.; Xue J.; Wang G.; Diao Q. Nanoparticle-based drug delivery systems for the treatment of cardiovascular diseases. Front Pharmacol. 2022, 13, 999404. 10.3389/fphar.2022.999404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Krajewska J. B.; Bartoszek A.; Fichna J. New Trends in Liposome-based Drug Delivery in Colorectal Cancer. Mini-Reviews in Medicinal Chemistry. 2018, 19, 3–11. 10.2174/1389557518666180903150928. [DOI] [PubMed] [Google Scholar]
  210. Qiu X.; Cao K.; Lin T.; et al. Drug delivery system based on dendritic nanoparticles for enhancement of intravesical instillation. Int. J. Nanomedicine. 2017, 12, 7365–74. 10.2147/IJN.S140111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  211. Liu X.; Jing Y.; Xu C.; et al. Medical Imaging Technology for Micro/Nanorobots. Nanomaterials. 2023, 13, 2872. 10.3390/nano13212872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  212. Tay Z. W.; Chandrasekharan P.; Chiu-Lam A.; et al. Magnetic Particle Imaging-Guided Heating in Vivo Using Gradient Fields for Arbitrary Localization of Magnetic Hyperthermia Therapy. ACS Nano 2018, 12, 3699–713. 10.1021/acsnano.8b00893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  213. 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]
  214. 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, 6612–20. 10.1021/acs.nanolett.9b02869. [DOI] [PubMed] [Google Scholar]
  215. Iacovacci V.; Blanc A.; Huang H.; et al. High-Resolution SPECT Imaging of Stimuli-Responsive Soft Microrobots. Small. 2019, 15, 1900709. 10.1002/smll.201900709. [DOI] [PubMed] [Google Scholar]
  216. 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, 2349–58. 10.1109/TBME.2019.2960530. [DOI] [PubMed] [Google Scholar]
  217. Saeed M.; Alshammari Y.; Majeed S. A.; Al-Nasrallah E. Chemical Vapour Deposition of Graphene—Synthesis, Characterisation, and Applications: A Review. Molecules. 2020, 25, 3856. 10.3390/molecules25173856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  218. Trivedi S., Lobo K.. Ramakrishna Matte HSS Chapter 3 - Synthesis, Properties, and Applications of Graphene. Hywel M., Rout C. S., Late D. J., Eds.; In Fundamentals and Sensing Applications of 2D Materials; Woodhead Publishing, 2019; pp 25–90 10.1016/B978-0-08-102577-2.00003-8. [DOI] [Google Scholar]
  219. Wu Z.; Li L.; Yang Y.; et al. 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]
  220. Kajbafvala A.; Bahmanpour H.; Maneshian M. H.; Li M. Self-Assembly Techniques for Nanofabrication. Journal of Nanomaterials. 2013, 2013, 1–3. 10.1155/2013/158517. [DOI] [Google Scholar]
  221. Shepherd S. J.; Issadore D.; Mitchell M. J. Microfluidic formulation of nanoparticles for biomedical applications. Biomaterials. 2021, 274, 120826. 10.1016/j.biomaterials.2021.120826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  222. 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, 2349–58. 10.1109/TBME.2019.2960530. [DOI] [PubMed] [Google Scholar]
  223. Bobo D.; Robinson K. J.; Islam J.; Thurecht K. J.; Corrie S. R. Nanoparticle-Based Medicines: A Review of FDA-Approved Materials and Clinical Trials to Date. Pharm. Res. 2016, 33, 2373–87. 10.1007/s11095-016-1958-5. [DOI] [PubMed] [Google Scholar]
  224. Ma J.; Lee SM-Y; Yi C.; Li C.-W. Controllable synthesis of functional nanoparticles by microfluidic platforms for biomedical applications - a review. Lab Chip. 2017, 17, 209–26. 10.1039/C6LC01049K. [DOI] [PubMed] [Google Scholar]
  225. Ceylan H.; Yasa I. C.; Kilic U.; Hu W.; Sitti M. Translational prospects of untethered medical microrobots. Prog. Biomed Eng. 2019, 1, 012002. 10.1088/2516-1091/ab22d5. [DOI] [Google Scholar]
  226. Yang L.; Zhang Y.; Wang Q.; Zhang L. An Automated Microrobotic Platform for Rapid Detection of C. diff Toxins. IEEE Transactions on Biomedical Engineering. 2020, 67, 1517–27. 10.1109/TBME.2019.2939419. [DOI] [PubMed] [Google Scholar]
  227. Pan D.; Pramanik M.; Senpan A.; Ghosh S.; Wickline S. A.; Wang L. V.; Lanza G. M. Near infrared photoacoustic detection of sentinel lymph nodes with gold nanobeacons. Biomaterials. 2010, 31, 4088–93. 10.1016/j.biomaterials.2010.01.136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  228. McDevitt M.; McDevitt M.; Ruggiero A.; Villa C. H.; Holland J. P.; Sprinkle S R.; May C.; Lewis J.; Scheinberg D.; et al. Imaging and treating tumor vasculature with targeted radiolabeled carbon nanotubes. IJN 2010, 2010, 783. 10.2147/IJN.S13300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  229. Cai Q.-Y.; Kim S. H.; Choi K. S. Colloidal Gold Nanoparticles as a Blood-Pool Contrast Agent for X-ray Computed Tomography in Mice. Invest. Radiol. 2007, 42, 797–806. 10.1097/RLI.0b013e31811ecdcd. [DOI] [PubMed] [Google Scholar]
  230. Kim D.; Park S.; Lee J. H.; Jeong Y. Y.; Jon S. Antibiofouling Polymer-Coated Gold Nanoparticles as a Contrast Agent for in Vivo X-ray Computed Tomography Imaging. J. Am. Chem. Soc. 2007, 129, 7661–5. 10.1021/ja071471p. [DOI] [PubMed] [Google Scholar]
  231. Maheswari R.; et al. Cancer Detecting Nanobot using Positron Emission Tomography. Procedia Computer Science. 2018, 133, 315–322 10.1016/j.procs.2018.07.039. [DOI] [Google Scholar]
  232. Balakrishnan K.; Arumugam S.; Magesan G. Design, Development and Performance Evaluation of Nano Robot in Traditional Siddha Medicines for Cancer Treatment. Journal of ICT Standardization. 2020, 217–34. 10.13052/jicts2245-800X.833. [DOI] [Google Scholar]
  233. Garcia-Gradilla V.; Sattayasamitsathit S.; Soto F.; et al. Ultrasound-Propelled Nanoporous Gold Wire for Efficient Drug Loading and Release. Small. 2014, 10, 4154–9. 10.1002/smll.201401013. [DOI] [PubMed] [Google Scholar]
  234. Kong X.; Gao P.; Wang J.; Fang Y.; Hwang K. C. Advances of medical nanorobots for future cancer treatments. Journal of Hematology & Oncology. 2023, 16, 74. 10.1186/s13045-023-01463-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  235. Gao J.; Liang G.; Cheung J. S.; et al. Multifunctional Yolk-Shell Nanoparticles: A Potential MRI Contrast and Anticancer Agent. J. Am. Chem. Soc. 2008, 130, 11828–33. 10.1021/ja803920b. [DOI] [PubMed] [Google Scholar]
  236. Lee H.; Shin T.-H.; Cheon J.; Weissleder R. Recent Developments in Magnetic Diagnostic Systems. Chem. Rev. 2015, 115, 10690–724. 10.1021/cr500698d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  237. Chen F.; Nayak T. R.; Goel S.; et al. In Vivo Tumor Vasculature Targeted PET/NIRF Imaging with TRC105(Fab)-Conjugated, Dual-Labeled Mesoporous Silica Nanoparticles. Mol. Pharmaceutics. 2014, 11, 4007–14. 10.1021/mp500306k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  238. Ghosh D.; Bagley A. F.; Na Y. J.; Birrer M. J.; Bhatia S. N.; Belcher A. M. Deep, noninvasive imaging and surgical guidance of submillimeter tumors using targeted M13-stabilized single-walled carbon nanotubes. Proc. Natl. Acad. Sci. U. S. A. 2014, 111, 13948–53. 10.1073/pnas.1400821111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  239. Kiessling F.; Mertens M. E.; Grimm J.; Lammers T. Nanoparticles for Imaging: Top or Flop?. Radiology. 2014, 273, 10–28. 10.1148/radiol.14131520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  240. Ghaghada K. B.; Badea C. T.; Karumbaiah L.; Fettig N.; Bellamkonda R. V.; Johnson G. A.; Annapragada A. Evaluation of Tumor Microenvironment in an Animal Model using a Nanoparticle Contrast Agent in Computed Tomography Imaging. Academic Radiology. 2011, 18, 20–30. 10.1016/j.acra.2010.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  241. Iacovacci V.; Ricotti L.; Sinibaldi E.; Signore G.; Vistoli F.; Menciassi A. An Intravascular Magnetic Catheter Enables the Retrieval of Nanoagents from the Bloodstream. Advanced Science. 2018, 5, 1800807. 10.1002/advs.201800807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  242. Liu X.; Jing Y.; Xu C.; et al. Medical Imaging Technology for Micro/Nanorobots. Nanomaterials (Basel). 2023, 13, 2872. 10.3390/nano13212872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  243. 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]
  244. Kong X.; Gao P.; Wang J.; Fang Y.; Hwang K. C. Advances of medical nanorobots for future cancer treatments. J. Hematol Oncol. 2023, 16, 74. 10.1186/s13045-023-01463-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  245. Zhang Y.; Zhang Y.; Han Y.; Gong X. Micro/Nanorobots for Medical Diagnosis and Disease Treatment. Micromachines. 2022, 13, 648. 10.3390/mi13050648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  246. Kagan D.; Campuzano S.; Balasubramanian S.; Kuralay F.; Flechsig G.-U.; Wang J. Functionalized Micromachines for Selective and Rapid Isolation of Nucleic Acid Targets from Complex Samples. Nano Lett. 2011, 11, 2083–2087. 10.1021/nl2005687. [DOI] [PubMed] [Google Scholar]
  247. Esteban-Fernandez de Abila B.; Martin A.; Soto F.; Lopez-Ramirez M. A.; Campuzano S.; Vasquez-Machado G. M.; Gao W.; Zhang L.; Wang J. Single Cell Real-Time miRNAs Sensing Based on Nanomotors. ACS Nano. 2015, 9, 6755–6764. 10.1021/acsnano.5b02807. [DOI] [PubMed] [Google Scholar]
  248. Cao L.; Wang P.; Chen L.; Wu Y.; Di J. A photoelectrochemical glucose sensor based on gold nanoparticles as a mimic enzyme of glucose oxidase. RSC Adv. 2019, 9, 15307–13. 10.1039/C9RA02088H. [DOI] [PMC free article] [PubMed] [Google Scholar]
  249. Zhang Q.; Zhang X.; Ma F.; Zhang C. Advances in quantum dot-based biosensors for DNA-modifying enzymes assay. Coord. Chem. Rev. 2022, 469, 214674. 10.1016/j.ccr.2022.214674. [DOI] [Google Scholar]
  250. Ji S.; Liu C.; Zhang B.; et al. Carbon nanotubes in cancer diagnosis and therapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 2010, 1806, 29–35. 10.1016/j.bbcan.2010.02.004. [DOI] [PubMed] [Google Scholar]
  251. Vo V.-T.; Phung V.-D.; Lee S.-W. Nanosilver-embedded silicon nanowires as a SERS-active substrate for the ultrasensitive detection of monoamine neurotransmitters. Surfaces and Interfaces. 2021, 25, 101181. 10.1016/j.surfin.2021.101181. [DOI] [Google Scholar]
  252. Rocha-Santos T. A. P. Sensors and biosensors based on magnetic nanoparticles. TrAC Trends in Analytical Chemistry. 2014, 62, 28–36. 10.1016/j.trac.2014.06.016. [DOI] [Google Scholar]
  253. Sharma A.; Agrawal A.; Kumar S.; Awasthi K. K.; Awasthi K.; Awasthi A.. 23 - Zinc oxide nanostructures-based biosensors. Awasthi K., Ed.; In Nanostructured Zinc Oxide; Elsevier; 2021; pp 655–95 10.1016/B978-0-12-818900-9.00002-4. [DOI] [Google Scholar]
  254. Wang L.; Gao X.; Jin L.; Wu Q.; Chen Z.; Lin X. Amperometric glucose biosensor based on silver nanowires and glucose oxidase. Sensors and Actuators B: Chemical. 2013, 176, 9–14. 10.1016/j.snb.2012.08.077. [DOI] [Google Scholar]
  255. Wang Q.; Cui X.; Chen J.; et al. Well-dispersed palladium nanoparticles on graphene oxide as a non-enzymatic glucose sensor. RSC Adv. 2012, 2, 6245–9. 10.1039/c2ra20425h. [DOI] [Google Scholar]
  256. Atilgan H.; Unal B.; Yalcinkaya E. E.; et al. Development of an Enzymatic Biosensor Using Glutamate Oxidase on Organic-Inorganic-Structured, Electrospun Nanofiber-Modified Electrodes for Monosodium Glutamate Detection. Biosensors (Basel). 2023, 13, 430. 10.3390/bios13040430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  257. Li R.; Zhao Y.; Fan H.; et al. Versatile nanorobot hand biosensor for specific capture and ultrasensitive quantification of viral nanoparticles. Materials Today Bio. 2022, 16, 100444. 10.1016/j.mtbio.2022.100444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  258. Choi H. K.; Yoon J. Nanotechnology-Assisted Biosensors for the Detection of Viral Nucleic Acids: An Overview. Biosensors (Basel). 2023, 13, 208. 10.3390/bios13020208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  259. Sun T.; Chen J.; Zhang J.; Zhao Z.; Zhao Y.; Sun J.; Chang H.. Application of micro/nanorobot in medicine. Front Bioeng Biotechnol. 2024, 12, 10.3389/fbioe.2024.1347312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  260. Wang Q.; Yang S.; Zhang L. Untethered Micro/Nanorobots for Remote Sensing: Toward Intelligent Platform. Nano-Micro Lett. 2024, 16, 40. 10.1007/s40820-023-01261-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  261. Lu X.; Bao J.; Wei Y.; Zhang S.; Liu W.; Wu J. Emerging Roles of Microrobots for Enhancing the Sensitivity of Biosensors. Nanomaterials. 2023, 13, 2902. 10.3390/nano13212902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  262. Zarepour A.; Khosravi A.; Iravani S.; Zarrabi A. Biohybrid Micro/Nanorobots: Pioneering the Next Generation of Medical Technology. Advanced Healthcare Materials. 2024, 13, 2402102. 10.1002/adhm.202402102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  263. Huang H.; Li J.; Wang C.; et al. Using Decellularized Magnetic Microrobots to Deliver Functional Cells for Cartilage Regeneration. Small. 2024, 20, 2304088. 10.1002/smll.202304088. [DOI] [PubMed] [Google Scholar]
  264. Liu D.; Zhang T.; Guo Y.; Liao Y.; Wu Z.; Jiang H.; Lu Y. Biohybrid Magnetic Microrobots for Tumor Assassination and Active Tissue Regeneration. ACS Appl. Bio Mater. 2022, 5, 5933–42. 10.1021/acsabm.2c00880. [DOI] [PubMed] [Google Scholar]
  265. Choi H.; Kim B.; Jeong S. H.; Kim T. Y.; Kim D.-P.; Oh Y.-K.; Hahn S. K. Microalgae-Based Biohybrid Microrobot for Accelerated Diabetic Wound Healing. Small. 2023, 19, 2204617. 10.1002/smll.202204617. [DOI] [PubMed] [Google Scholar]
  266. Wang J.; Dong Y.; Ma P.; et al. Intelligent Micro-/Nanorobots for Cancer Theragnostic. Adv. Mater. 2022, 34, 2201051. 10.1002/adma.202201051. [DOI] [PubMed] [Google Scholar]
  267. TirgarBahnamiri P.; Bagheri-Khoulenjani S. Biodegradable microrobots for targeting cell delivery. Med. Hypotheses. 2017, 102, 56–60. 10.1016/j.mehy.2017.02.015. [DOI] [PubMed] [Google Scholar]
  268. Peng F.; Tu Y.; van Hest J. C. M.; Wilson D. A. Self-Guided Supramolecular Cargo-Loaded Nanomotors with Chemotactic Behavior towards Cells. Angew. Chem., Int. Ed. Engl. 2015, 54, 11662–5. 10.1002/anie.201504186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  269. Zhang D.; Liu S.; Guan J.; Mou F.. Motile-targeting” drug delivery platforms based on micro/nanorobots for tumor therapy. Front Bioeng Biotechnol. 2022, 10, 10.3389/fbioe.2022.1002171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  270. 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 (RSC Publishing). Nanoscale 2019, 11, 18382–18392. 10.1039/C9NR06221A. [DOI] [PubMed] [Google Scholar]
  271. Felfoul O.; Mohammadi M.; Taherkhani S.; et al. Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions. Nat. Nanotechnol. 2016, 11, 941–7. 10.1038/nnano.2016.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  272. Wu Z.; Wu Y.; He W.; Lin X.; Sun J.; He Q. Self-Propelled Polymer-Based Multilayer Nanorockets for Transportation and Drug Release. Angew. Chem., Int. Ed. 2013, 52, 7000–7003. 10.1002/anie.201301643. [DOI] [PubMed] [Google Scholar]
  273. Xuan M.; Shao J.; Gao C.; Wang W.; Dai L.; He Q. Self-Propelled Nanomotors for Thermomechanically Percolating Cell Membranes. Angewandte Chemie International Edition. 2018, 57, 12463–7. 10.1002/anie.201806759. [DOI] [PubMed] [Google Scholar]
  274. Lin Z.; Jiang T.; Shang J. The emerging technology of biohybrid micro-robots: a review. Bio-des Manuf. 2022, 5, 107–32. 10.1007/s42242-021-00135-6. [DOI] [Google Scholar]
  275. 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, 906–10. 10.1021/acs.nanolett.5b03716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  276. Chen T.; Ren L.; Liu X.; Zhou M.; Li L.; Xu J.; Zhu X. DNA Nanotechnology for Cancer Diagnosis and Therapy. International Journal of Molecular Sciences. 2018, 19, 1671. 10.3390/ijms19061671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  277. Ahmed T. DNA origami-based nano-vaccines for cancer immunotherapy. Nano Trends. 2024, 8, 100060. 10.1016/j.nwnano.2024.100060. [DOI] [Google Scholar]
  278. Zhang Q.; Zeng Y.; Zhao Y.; Peng X.; Ren E.; Liu G. Bio-Hybrid Magnetic Robots: From Bioengineering to Targeted Therapy. Bioengineering (Basel). 2024, 11, 311. 10.3390/bioengineering11040311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  279. Dogan N. O.; Suadiye E.; Wrede P.; et al. Immune Cell-Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging. Advanced Healthcare Materials. 2024, 13, 2400711. 10.1002/adhm.202400711. [DOI] [PubMed] [Google Scholar]
  280. Singh A. V.; Ansari M. H. D.; Mahajan M.; et al. 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]
  281. Ak G.; Yilmaz H.; Güneş S.; Hamarat Sanlier S. In vitro and in vivo evaluation of folate receptor-targeted a novel magnetic drug delivery system for ovarian cancer therapy. Artificial Cells, Nanomedicine, and Biotechnology. 2018, 46, 926–937. 10.1080/21691401.2018.1439838. [DOI] [PubMed] [Google Scholar]
  282. Chen M.; Leng Y.; He C.; Li X.; Zhao L.; Qu Y.; Wu Y. Red blood cells: a potential delivery system. Journal of Nanobiotechnology. 2023, 21, 288. 10.1186/s12951-023-02060-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  283. Gwisai T.; Mirkhani N.; Christiansen M. G.; Nguyen T. T.; Ling V.; Schuerle S. Magnetic torque-driven living microrobots for increased tumor infiltration. Sci. Robot. 2022, 7, eabo0665 10.1126/scirobotics.abo0665. [DOI] [PubMed] [Google Scholar]
  284. Park B.-W.; Zhuang J.; Yasa O.; Sitti M. Multifunctional Bacteria-Driven Microswimmers for Targeted Active Drug Delivery. ACS Nano 2017, 11, 8910–23. 10.1021/acsnano.7b03207. [DOI] [PubMed] [Google Scholar]
  285. Felfoul O.; Mohammadi M.; Taherkhani S.; et al. Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions. Nat. Nanotechnol. 2016, 11, 941–7. 10.1038/nnano.2016.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  286. Choi H.; Kim B.; Jeong S. H.; Kim T. Y.; Kim D.-P.; Oh Y.-K.; Hahn S. K. Microalgae-Based Biohybrid Microrobot for Accelerated Diabetic Wound Healing. Small. 2023, 19, e2204617 10.1002/smll.202204617. [DOI] [PubMed] [Google Scholar]
  287. Gundersen R. A.; Chu T.; Abolfathi K.; et al. Generation of magnetic biohybrid microrobots based on MSC.sTRAIL for targeted stem cell delivery and treatment of cancer. Cancer Nanotechnology. 2023, 14, 54. 10.1186/s12645-023-00203-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  288. Gong D.; Celi N.; Zhang D.; Cai J. Magnetic Biohybrid Microrobot Multimers Based on Chlorella Cells for Enhanced Targeted Drug Delivery. ACS Appl. Mater. Interfaces. 2022, 14, 6320–30. 10.1021/acsami.1c16859. [DOI] [PubMed] [Google Scholar]
  289. Wang X.; Cai J.; Sun L.; et al. Facile Fabrication of Magnetic Microrobots Based on Spirulina Templates for Targeted Delivery and Synergistic Chemo-Photothermal Therapy. ACS Appl. Mater. Interfaces. 2019, 11, 4745–56. 10.1021/acsami.8b15586. [DOI] [PubMed] [Google Scholar]
  290. Zarepour A.; Khosravi A.; Iravani S.; Zarrabi A. Biohybrid Micro/Nanorobots: Pioneering the Next Generation of Medical Technology. Adv. Healthc Mater. 2024, 13, 2402102. 10.1002/adhm.202402102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  291. Shao J.; Xuan M.; Zhang H.; Lin X.; Wu Z.; He Q. Chemotaxis-Guided Hybrid Neutrophil Micromotors for Targeted Drug Transport. Angew. Chem., Int. Ed. Engl. 2017, 56, 12935–9. 10.1002/anie.201706570. [DOI] [PubMed] [Google Scholar]
  292. Zhang H.; Li Z.; Gao C.; et al. Dual-responsive biohybrid neutrobots for active target delivery. Sci. Robot. 2021, 6, eaaz9519 10.1126/scirobotics.aaz9519. [DOI] [PubMed] [Google Scholar]
  293. Li M.; Wu J.; Li N.; Zhou J.; Cheng W.; Wu A.; Liu L.; Jiao N. Cross-Scale Drug Delivery of Diatom Microrobots Based on A Magnetic Continuum Robot for Combined Chemical and Photodynamic Therapy of Glioblastoma. Adv. Funct. Mater 2024, 34, 2402333. 10.1002/adfm.202402333. [DOI] [Google Scholar]
  294. Zhong D.; Li W.; Qi Y.; He J.; Zhou M. Photosynthetic Biohybrid Nanoswimmers System to Alleviate Tumor Hypoxia for FL/PA/MR Imaging-Guided Enhanced Radio-Photodynamic Synergetic Therapy. Advanced Functional Materials. 2020, 30, 1910395. 10.1002/adfm.201910395. [DOI] [Google Scholar]
  295. Zhang F.; Guo Z.; Li Z.; et al. Biohybrid microrobots locally and actively deliver drug-loaded nanoparticles to inhibit the progression of lung metastasis. Science Advances. 2024, 10, eadn6157 10.1126/sciadv.adn6157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  296. Credi A. Nanomachines. Fundamentals and Applications. By Joseph Wang. Angewandte Chemie International Edition. 2014, 53, 4274–5. 10.1002/anie.201311274. [DOI] [Google Scholar]
  297. Ma X.; Jannasch A.; Albrecht U.-R.; Hahn K.; Miguel-López A.; Schäffer E.; Sánchez S. Enzyme-Powered Hollow Mesoporous Janus Nanomotors. Nano Lett. 2015, 15, 7043–50. 10.1021/acs.nanolett.5b03100. [DOI] [PubMed] [Google Scholar]
  298. Abdelmohsen L. K. E. A.; Nijemeisland M.; Pawar G. M.; Janssen G-JA; Nolte R. J. M.; van Hest J. C. M.; Wilson D. A. Dynamic Loading and Unloading of Proteins in Polymeric Stomatocytes: Formation of an Enzyme-Loaded Supramolecular Nanomotor. ACS Nano 2016, 10, 2652–2660. 10.1021/acsnano.5b07689. [DOI] [PubMed] [Google Scholar]
  299. Dey K. K.; Zhao X.; Tansi B. M.; Méndez-Ortiz W. J.; Córdova-Figueroa U. M.; Golestanian R.; Sen A. Micromotors Powered by Enzyme Catalysis. Nano Lett. 2015, 15, 8311–5. 10.1021/acs.nanolett.5b03935. [DOI] [PubMed] [Google Scholar]
  300. 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, 117–23. 10.1021/nn507097k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  301. 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]
  302. 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, 1968–75. 10.1021/nl404815q. [DOI] [PubMed] [Google Scholar]
  303. 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]
  304. Wu Z.; Li J.; de Ávila BE-F; et al. Water-Powered Cell-Mimicking Janus Micromotor. Advanced Functional Materials. 2015, 25, 7497–501. 10.1002/adfm.201503441. [DOI] [Google Scholar]
  305. 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]
  306. Hines L.; Petersen K.; Lum G. Z.; Sitti M. Soft Actuators for Small-Scale Robotics. Adv. Mater. 2017, 29, 1603483. 10.1002/adma.201603483. [DOI] [PubMed] [Google Scholar]
  307. Chen C.; Karshalev E.; Li J.; et al. Transient Micromotors That Disappear When No Longer Needed. ACS Nano 2016, 10, 10389–96. 10.1021/acsnano.6b06256. [DOI] [PubMed] [Google Scholar]
  308. Arvidsson R.; Hansen S. F. Environmental and health risks of nanorobots: an early review. Environ. Sci: Nano. 2020, 7, 2875–86. 10.1039/D0EN00570C. [DOI] [Google Scholar]
  309. Kostarelos K. Nanorobots for medicine: how close are we?. Nanomedicine. 2010, 5, 341–2. 10.2217/nnm.10.19. [DOI] [PubMed] [Google Scholar]
  310. Surana S.; Shenoy A. R.; Krishnan Y. Designing DNA nanodevices for compatibility with the immune system of higher organisms. Nat. Nanotechnol. 2015, 10, 741–7. 10.1038/nnano.2015.180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  311. Li S.; Jiang Q.; Liu S.; et al. A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo. Nat. Biotechnol. 2018, 36, 258–64. 10.1038/nbt.4071. [DOI] [PubMed] [Google Scholar]
  312. Elsaesser A.; Howard C. V. Toxicology of nanoparticles. Adv. Drug Delivery Rev. 2012, 64, 129–37. 10.1016/j.addr.2011.09.001. [DOI] [PubMed] [Google Scholar]
  313. Agrawal N., Shah P.. Toxicology of Nanoparticles: Insights from Drosophila; Springer Nature; 2020. [Google Scholar]
  314. Naz S.; Gul A.; Zia M. Toxicity of copper oxide nanoparticles: a review study. IET Nanobiotechnol. 2020, 14, 1–13. 10.1049/iet-nbt.2019.0176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  315. Li X.; Wang L.; Fan Y.; Feng Q.; Cui F. Biocompatibility and Toxicity of Nanoparticles and Nanotubes. Journal of Nanomaterials. 2012, 2012, 1–19. 10.1155/2012/548389. [DOI] [Google Scholar]
  316. Jiang H.; Wang S.; Xu W.; Zhang Z.; He L.. Construction of medical nanorobot. 2005 IEEE International Conference on Robotics and Biomimetics - ROBIO. 2005; pp 151–154, 10.1109/ROBIO.2005.246254. [DOI]
  317. Muthukumaran G.; Ramachandraiah U.; Samuel D. G. H. Role of Nanorobots and their Medical Applications. Advanced Materials Research. 2015, 1086, 61–7. 10.4028/www.scientific.net/AMR.1086.61. [DOI] [Google Scholar]
  318. Dutta D.; Sailapu S. K.. Chapter 10 - Biomedical Applications of Nanobots. Ahmad N., Gopinath P., Eds.; In Intelligent Nanomaterials for Drug Delivery Applications; Elsevier; 2020; pp 179–95 10.1016/B978-0-12-817830-0.00010-2. [DOI] [Google Scholar]
  319. Jiang J.; Yang Z.; Ferreira A.; Zhang L. Control and Autonomy of Microrobots: Recent Progress and Perspective. Advanced Intelligent Systems. 2022, 4, 2100279. 10.1002/aisy.202100279. [DOI] [Google Scholar]
  320. Xu K.; Su R. Path planning of nanorobot: a review. Microsyst Technol. 2022, 28, 2393–401. 10.1007/s00542-022-05373-x. [DOI] [Google Scholar]
  321. Hess H.; Clemmens J.; Qin D.; Vogel V. Light-Controlled Molecular Shuttles Made from Motor Proteins Carrying Cargo on Engineered Surfaces. Nano Lett. 2001, 1, 235–239. 10.1021/nl015521e. [DOI] [Google Scholar]
  322. Yurke B.; Mills A. P. Using DNA to Power Nanostructures. Genet Program Evolvable Mach. 2003, 4, 111–22. 10.1023/A:1023928811651. [DOI] [Google Scholar]
  323. Mao C.; Sun W.; Shen Z.; Seeman N. C. A nanomechanical device based on the B-Z transition of DNA. Nature. 1999, 397, 144–6. 10.1038/16437. [DOI] [PubMed] [Google Scholar]
  324. Montemagno C.; Bachand G. Constructing nanomechanical devices powered by biomolecular motors. Nanotechnology. 1999, 10, 225–31. 10.1088/0957-4484/10/3/301. [DOI] [Google Scholar]
  325. Giri G.; Maddahi Y.; Zareinia K. A Brief Review on Challenges in Design and Development of Nanorobots for Medical Applications. Applied Sciences. 2021, 11, 10385. 10.3390/app112110385. [DOI] [Google Scholar]
  326. Kong X.; Gao P.; Wang J.; Fang Y.; Hwang K. C. Advances of medical nanorobots for future cancer treatments. J. Hematol Oncol. 2023, 16, 74. 10.1186/s13045-023-01463-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  327. Ye J.; Fan Y.; Niu G.; Zhou B.; Kang Y.; Ji X. Intelligent micro/nanomotors: Fabrication, propulsion, and biomedical applications. Nano Today 2024, 55, 102212. 10.1016/j.nantod.2024.102212. [DOI] [Google Scholar]
  328. Davies D. J. D.; Vaccaro A. R.; Morris S. M.; Herzer N.; Schenning A. P. H. J.; Bastiaansen C. W. M. A Printable Optical Time-Temperature Integrator Based on Shape Memory in a Chiral Nematic Polymer Network. Adv. Funct Materials. 2013, 23, 2723–2727. 10.1002/adfm.201202774. [DOI] [Google Scholar]
  329. Tibbals H. F.Medical Nanotechnology and Nanomedicine; CRC Press: Boca Raton, FL, 2017 10.1201/b10151. [DOI] [Google Scholar]
  330. Ahmad W.; Khan T.; Basit I.; Imran J. A Comprehensive Review on Targeted Drug Delivery System. Asian Journal of Pharmaceutical Research. 2022, 12, 335–40. 10.52711/2231-5691.2022.00053. [DOI] [Google Scholar]
  331. Li J.; Pumera M. 3D printing of functional microrobots. Chem. Soc. Rev. 2021, 50, 2794–838. 10.1039/D0CS01062F. [DOI] [PubMed] [Google Scholar]
  332. Al-Hudhud G. On swarming medical nanorobots. International Journal of Bio-Science and Bio-Technology. 2012, 4, 75–90. [Google Scholar]
  333. Li J.; Dekanovsky L.; Khezri B.; Wu B.; Zhou H.; Sofer Z. Biohybrid Micro- and Nanorobots for Intelligent Drug Delivery. Cyborg Bionic Syst. 2022, 2022, 9824057. 10.34133/2022/9824057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  334. Jahanban-Esfahlan A.; Seidi K.; Jaymand M.; et al. Dynamic DNA nanostructures in biomedicine: Beauty, utility and limits. J. Controlled Release 2019, 315, 166–85. 10.1016/j.jconrel.2019.10.003. [DOI] [PubMed] [Google Scholar]
  335. Kagan D.; Laocharoensuk R.; Zimmerman M.; et al. Rapid Delivery of Drug Carriers Propelled and Navigated by Catalytic Nanoshuttles. Small. 2010, 6, 2741–7. 10.1002/smll.201001257. [DOI] [PubMed] [Google Scholar]
  336. Wasti S.; Lee I. H.; Kim S.; Lee J.-H.; Kim H.. Ethical and legal challenges in nanomedical innovations: a scoping review. Front Genet. 2023, 14, 10.3389/fgene.2023.1163392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  337. Gökçay B.; Arda B.. Nanotechnology, Nanomedicine; Ethical Aspects. Rev. Rom Bioet. 2015, 13. [PMC free article] [PubMed] [Google Scholar]
  338. Ali E. S.; Sharker S. M.; Islam M. T.; et al. Targeting cancer cells with nanotherapeutics and nanodiagnostics: Current status and future perspectives. Semin Cancer Biol. 2021, 69, 52–68. 10.1016/j.semcancer.2020.01.011. [DOI] [PubMed] [Google Scholar]
  339. Kishore C.; Bhadra P. Targeting Brain Cancer Cells by Nanorobot, a Promising Nanovehicle: New Challenges and Future Perspectives. CNS Neurol Disord Drug Targets. 2021, 20, 531–9. 10.2174/1871527320666210526154801. [DOI] [PubMed] [Google Scholar]
  340. Shi Y.; Lammers T. Combining Nanomedicine and Immunotherapy. Acc. Chem. Res. 2019, 52, 1543–54. 10.1021/acs.accounts.9b00148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  341. Soto F.; Wang J.; Ahmed R.; Demirci U. Medical Micro/Nanorobots in Precision Medicine. Adv. Sci. (Weinh). 2020, 7, 2002203. 10.1002/advs.202002203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  342. Wang J.; Dong Y.; Ma P.; et al. Intelligent Micro-/Nanorobots for Cancer Theragnostic. Adv. Mater. 2022, 34, e2201051 10.1002/adma.202201051. [DOI] [PubMed] [Google Scholar]
  343. Yang M.; Guo X.; Mou F.; Guan J. Lighting up Micro-/Nanorobots with Fluorescence. Chem. Rev. 2023, 123, 3944–75. 10.1021/acs.chemrev.2c00062. [DOI] [PubMed] [Google Scholar]
  344. Marchant G. E.; Sylvester D. J.; abbott K. W. Risk Management Principles for Nanotechnology. Nanoethics 2008, 2, 43–60. 10.1007/s11569-008-0028-9. [DOI] [Google Scholar]

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