Abstract
Cardiovascular diseases (CVDs) are the first cause of death globally, posing a significant threat to human health. Cardiac electrophysiology is pivotal for the understanding and management of CVDs, particularly for addressing arrhythmias. A significant proliferation of micro-nano bioelectric devices and systems has occurred in the field of cardiomyocyte electrophysiology. These bioelectronic platforms feature distinctive electrode geometries that improve the fidelity of native electrophysiological signals. Despite the prevalence of planar microelectrode arrays (MEAs) for simultaneous multichannel recording of cellular electrophysiological signals, extracellular recordings often yield suboptimal signal quality. In contrast, three-dimensional (3D) MEAs and advanced penetration strategies allow high-fidelity intracellular signal detection. 3D nanodevices are categorized into the active and the passive. Active devices rely on external power sources to work, while passive devices operate without external power. Passive devices possess simplicity, biocompatibility, stability, and lower power consumption compared to active ones, making them ideal for sensors and implantable applications. This review comprehensively discusses the fabrication, geometric configuration, and penetration strategies of passive 3D micro/nanodevices, emphasizing their application in drug screening and disease modeling. Moreover, we summarize existing challenges and future opportunities to develop passive micro/nanobioelectronic devices from cardiac electrophysiological research to cardiovascular clinical practice.

Subject terms: Biosensors, Bionanoelectronics
Introduction
Cardiovascular diseases (CVD) are the leading cause of premature mortality, imposing a substantial burden on population health and socio-economic well-being. The widespread impact of CVD on populations, coupled with the complexity of management, underscores the growing burden on healthcare systems and patients1–3. Moreover, drug-induced cardiotoxicity is a significant factor that restricts the development and utilization of new drugs. Many drugs are precluded from clinical application or recalled post-marketing due to adverse cardiac effects. More seriously, drug-induced cardiotoxicity can lead to cardiovascular complications, and in severe cases, may even result in sudden death4–7. Less than 30% of the compounds tested in U.S. clinical trials successfully reach commercial availability due to drug-induced cardiotoxicity, which leads to a cycle of wasted time, increased expenses, and resource depletion, highlighting the urgent need for accelerated research into all facets of cardiovascular effects8. Electrocardiography, echocardiography, and coronary computed tomography angiography stand as the primary methods to evaluate cardiovascular morphology9–12. While providing insights into cardiac function, these diagnostic tools are constrained by the low spatial resolution13. To overcome these challenges, cardiomyocyte-based models and sensing technologies are proposed as promising alternatives14–16. Establishing a robust cardiomyocyte-based platform is crucial for comprehensive CVD investigation and early anticipation of drug-related cardiotoxicity17.
Electrophysiological sensing of cardiomyocytes is a commonly used and important method for characterizing cell status. Electrophysiological methods are widely recognized for their utility in both characterizing and modulating the behaviors of electrogenic cells18,19. Upon the occurrence of hereditary or acquired CVDs, the generation and propagation of action potentials (AP) are altered due to changes in the expression, distribution, and characteristics of myocardial ion channels20. Thus, evaluating electrophysiological dysfunction at the cell level is crucial to understanding organ dysfunction caused by molecular aberrations21. For electrophysiological evaluation, patch clamp is the gold standard for precise, high-fidelity transmembrane potential measurements, offering detailed, high-resolution insights into ion channel properties, which is labor-intensive and low-throughput22. Automated systems increase efficiency but often require isolated cells, which can disrupt cardiomyocyte electrical coupling and affect measurement accuracy23,24. Extracellular electrodes like planar microelectrode arrays (MEAs) enable noninvasive and easy recording of extracellular APs but cannot capture transmembrane potentials, limiting their ability to reflect detailed arrhythmic features18,25. Alternatively, intracellular recordings from three-dimensional (3D) nanoelectrode arrays (NEAs) can accurately measure AP duration, refractory period, and upstroke velocity, providing precise parameters for electrophysiological properties of cardiomyocytes26–28. Therefore, NEAs emerge as highly promising tools in the field of cardiovascular research.
Specifically, there exist two major categories of 3D nanodevices: active and passive. As detailed in Table 1, active devices can actively control or modify electrical signals, and offer capabilities such as amplification, signal fidelity, dynamic modulation, and real-time processing, making them suitable for applications that demand high resolution and precision, particularly in electrophysiology and biomedical sensing. However, active NEAs require an external power source to operate. Passive devices, however, are characterized by their simple structure and independence of an external power source, which facilitates easier and more cost-effective design and manufacturing29. Furthermore, passive devices often exhibit high biocompatibility, generating minimal heat and causing less impact on biological tissues30. Their simplicity also increases stability and durability, with minimal susceptibility to external interference. Additionally, passive devices have low power consumption, making them ideal for miniaturized or implantable applications31. Due to the straightforward design and reduced complexity, passive devices are especially suited for large-scale applications requiring mass production32. Thus, passive devices are widely used for electrophysiological sensing, particularly where active control is not necessary. Despite the aforementioned advantages, the design and 3D structure of the passive devices are crucial for the quality of intracellular signal acquisition.
Table 1.
Comparison of passive and active 3D nanoelectrode arrays (NEAs) in cardiac electrophysiology
| Feature | Passive 3D NEAs | Active 3D NEAs |
|---|---|---|
| Power source | Operation without an external power. | Operation supported by an external power (e.g., amplifiers, signal modulation). |
| Complexity | Simple design and easy fabrication and integration. | Complex design and fabrication. |
| Biocompatibility | High biocompatibility without heat generation. | Lower biocompatibility due to active components and heat generation. |
| Signal amplification | No amplification. | Active signal amplification. |
| Stability | High stability and durability. | Stability affected by heat generation, power fluctuations, and device complexity. |
| Scalability | High scalability due to simpler design and fabrication. | Low scalability due to the active component fabrication. |
| Cost of production | Lower cost due to simpler fabrication processes. | Higher cost due to complex fabrication processes. |
As for the fabrication of NEAs, micro-nano-processing and integration with 3D bioelectronics allow the recording of electrophysiological signals from both single cells and their networks33. The vertical geometry of NEAs is crucial for strengthening signal detection34. The tight envelopment of the cell membrane around vertical electrodes reduces the separation between the cell membrane and electrode, thereby boosting seal resistance35–37. Moreover, for bioelectronic devices to achieve a signal-to-noise ratio (SNR) and amplitude comparable to those in patch clamp, establishing direct contact between recording elements and targeted intracellular locations is necessary while minimizing interference with cell membranes38. To meet these criteria, it is essential to thoroughly understand the size, shape, mechanical properties, and biochemical interactions at the interface between the cell membrane and the nanodevice39. Manufacturing techniques significantly influence nanodevice size, geometry, and the interaction of NEAs with cell membranes. Advances in nanoelectrode technology, particularly through the integration of Complementary Metal Oxide Semiconductor (CMOS) technology, have significantly enhanced the ability to record and modulate cellular electrical activity on a large scale40. Furthermore, by enabling parallel recordings from individual cells and networks, these innovations improve the precision and scalability of electrophysiological studies.
In this review, we will delve into the critical role of arrhythmia as an early diagnostic marker for CVDs, emphasizing the importance of intracellular cardiomyocyte electrophysiological analysis for diagnosis. With the advent of new electrophysiological detection techniques, 3D NEAs have gained prominence for both in vivo and in vitro applications. Here, we focus on the potential of passive 3D NEAs to improve early CVD detection through arrhythmia diagnosis. We discuss the essential aspects that impact electrophysiological recordings using passive 3D NEAs: the manufacturing and configuration of passive 3D NEAs, as well as strategies for intracellular access. We then explore the application of passive 3D NEAs in modeling CVD and precision drug screening. Further, we discuss future research directions in the development of passive 3D NEA structures, including advances in CMOS technology, the integration of micro and nanoelectrodes, multiparameter detection, human organoid models, and the convergence of sensing and regulatory functions.
Manufacturing and configuration of passive 3D NEAs
Manufacturing processes are fundamental in designing and fabricating 3D nanostructures for passive 3D micro-nano bioelectronic platforms and advancing intracellular electrophysiological recordings41. Recent studies have emphasized that the placement, geometry, and dimensions of nanoelectrodes greatly affect electrophysiological detection, with geometry as key to effective cell-device coupling, particularly in 3D configurations42–44. Different 3D geometric shapes have been explored for recording electrophysiological signals in cardiomyocytes, each presenting unique innovations, advantages, and challenges38. Here, we provide an in-depth analysis of these strategies to enhance the understanding of nanoelectrode fabrication processes for the precise manufacturing of passive 3D NEAs (Fig. 1).
Fig. 1. Advanced passive 3D bioelectronics system for studying cardiac electrophysiology.
Physical regulation requires that the electrode penetrates the cell membrane through physical techniques, primarily electro- and opto-poration. Chemical regulation entails gaining intracellular access through chemical methods, such as modifying the electrode surface with a phospholipid bilayer
Advances in passive 3D nanoelectrode fabrication
Since the pioneering work by Thomas et al. in 1972, NEAs have garnered significant attention for the study of excitable cells, particularly cardiomyocytes45–47. 3D structures provide significant advantages by enhancing cell adhesion to the nanoelectrode surface, which in turn reduces the electrode’s exposed area and minimizes contact with the surrounding electrolyte solution during recordings. Figure 2 depicts various representative configurations of electrodes as well as the interface between 3D electrodes and cells. To improve coupling between external electrodes and nerve cells by mimicking the neuronal environment, Spira et al. developed gold mushroom-shaped microelectrodes (gMμEs), which typically comprise a stalk, a base, and a cap (Fig. 2a)47–49. The fabrication of gMμEs begins by coating silicon or glass samples with a Cr/Au layer using sputtering. Then, samples are spin-coated with photoresistant material. Photolithography, utilizing a photomask, can create openings in the photoresistor. gMμEs are subsequently formed on the surface through gold deposition, before removing the photoresistor layer. The quality of the pattern layer and the stalk thickness are determined by lithography parameters, while the mushroom head size depends on deposition conditions. gMμEs are effective for long-term detection of intracellular APs with improved endocytosis when coated with laminin, allowing for 2–10 min recordings under short electroporation pulses47. However, gMμEs have limitations. One issue is that the success of endocytosis can vary depending on where the cell is located. This variability affects the deformation of the membrane and the quality of the recordings. Additionally, high resistance at the junction between the membrane and electrode can lead to signal loss, which reduces the quality of detection. Solutions to these issues include fabricating a fence structure around the gMμEs to stabilize cell positioning and using low-impedance materials to reduce resistance and improve overall performance48,49. Recent research has demonstrated that vertically aligned nanopillar electrodes can establish strong interactions with cell membranes, significantly reducing impedance by several orders of magnitude through localized electroporation44,50–53. Nanopillar electrode fabrication involves photolithography for defining Pt tracks and contact pads on quartz substrates, followed by SiO2 deposition via chemical vapor deposition (CVD) under low-pressure conditions for insulation. Reactive ion etching and electron beam lithography create nanoholes above each Pt pad until the Pt layer. Next, Pt nanopillars can be deposited into the nanoholes using a focused ion beam (FIB). Finally, the devices are treated with oxygen plasma for cleaning before coating with a diluted Matrigel matrix and cell plating43. However, nanopillar electrode arrays can also be fabricated through a templated process including atomic layer deposition (ALD), etching, lithography, deposition, and liftoff. The electrodes feature a polyethylene terephthalate (PET) substrate with an Al2O3 core and a Ti/Au conductive coating, insulated with a negative photoresistor layer(Fig. 2b)51. Although nanopillar electrodes offer minimally invasive intracellular recording and are easily scalable, they can suffer from signal loss due to the gap between membrane and electrode. On the other hand, nanowires are ideal as intracellular probes due to their small size, which allows for minimally invasive insertion, while their solid-state nature prevents cell leakage40,54–56. Another process involves the fabrication of nanowire electrodes by plasma enhanced CVD (PECVD) for SiO2 layer deposition, stepper lithography, and dry etching to define SiO2 pillars, followed by wet etching to create the nanoelectrode core (Fig. 2c)40. Then, Ti and Pt are sputtered onto the pillars, before adding an ALD passivation layer. A resistor protects the base during wet etching, leaving the metal tip exposed for electrical interrogation. The latest vertical ultrasharp nanowires feature increased height, with tip diameters as small as 10 nm, enabling better cell penetration57. In other cases, iridium oxide (IrOx) nanotubes have been fabricated by cutting a quartz wafer into small pieces, followed by photolithography, Pt/Ti deposition, and liftoff to produce a pattern of electrode pads and lead lines58. The substrate is then coated with Si3N4 and SiO2 layers via PECVD. Plasma etching then exposes the Pt contact pads, and electron beam lithography defines nanoholes on a resist-coated chip. Then, the underlying Si3N4/SiO2 layers are removed to expose the Pt layer, and IrOx nanotubes are electrodeposited into the nanoholes using the resistor as a template (Fig. 2d). The advance of nanotube electrodes leverages cells’ natural propensity to interact with their environment59. In contrast to vertical nanopillar electrodes, the membrane protrusions within nanotube electrodes enhance local membrane tension and reduce the gap between the membrane and electrode60,61. Additionally, ion flows from ion channels or openings within the internal nanotube membrane are more readily detectable before dissipating into the surrounding medium. However, intracellular recordings using IrOx nanotube electrodes suffer from poor SNR and diminished signal amplitude, so addressing these issues is essential for achieving signal quality comparable to that of glass micropipettes and patch clamps60. Similarly, the fabrication of volcanic nanopatterned electrodes begins with successive evaporations of Ti, Pt, Ti, Au, and Ti layers onto a glass wafer, followed by SiO2 sputtering42,62. The substrate is then spin-coated with a photoresistor layer, patterned with 2-μm-diameter openings using a direct laser writer, and Ar+ ion beam etching, followed by photoresistor stripping with O2 plasma42. Electrically conductive tracks are then patterned on a new photoresistor layer, reflowed, placed at an angle, and stripped with O2 plasma. Finally, an insulating SU8 layer is spin-coated to complete electrode fabrication (Fig. 2e). Compared with other nanoelectrodes, nanovolcano (NV) electrodes, with a high aspect ratio and sharp design, offer improved cell access without reducing the effective recording area, leading to lower impedance and higher SNR. Recently, NV electrodes with a large 3D Pt electrode and an insulating SiO2 layer have been developed for stable intracellular recordings lasting >60 min42. Although functionalized gold nanoring was considered critical for sealing, later studies highlighted that tip geometry is more crucial for ensuring a secure cell-electrode interface62. Further research suggests optimizing the shape, size, and materials of NV electrodes, or integrating them with CMOS amplifiers, to enhance recording quality and duration63. Nanocrown electrodes (Fig. 2f) are partially hollow structures featuring an uneven crown edge28,64. The fabrication involves patterning Cr disks via photolithography and using reactive ion etching to form quartz nanostructures64. Ti and Pt are then deposited for metal connections, followed by Si3N4 and SiO2 insulation layers. Afterward, a wet etch reveals the nanoelectrode tips and further etching creates nanocrown structures, completing the fabrication. The nanocrown’s shape has been shown to promote cell membrane wrapping around its surface, improving cell adherence to its core64. This design allows for approximately 60 min of intracellular access to human pluripotent stem cells-derived cardiomyocytes (hPSC-CMs). Additionally, nanocrowns at a depth of 180 nm could record intracellular signals with twice the amplitude compared to those at a depth of 450 nm64.
Fig. 2. Innovative designs for electrode-tissue interfaces.
The fabrication processes and representative configurations of the 3D electrode-tissue interface with schematic diagrams and scanning electron microscope (SEM) images of the electrodes. a Mushroom-shaped electrode. Reprinted and modified from Ref. 49 with permission from Frontiers; Ref. 48 with permission from Wiley. b Nanopillar electrode. Reprinted and modified from Ref. 43 with permission from Springer Nature; Ref. 52 with permission from American Chemical Society. c Nanowire electrode. Reprinted and modified from Ref. 40 with permission from Springer Nature. d iridium oxide (IrOx) nanotube electrodes. Inset: Top view showing the hollow center. Reprinted and modified from Ref. 58 with permission from Springer Nature; Ref. 60 with permission from American Chemical Society. e Volcano-shaped electrode. Reprinted and modified from Ref. 42 with permission from the American Chemical Society. f Nanocrown electrode. Inset: Enlarged view of the electrode tip. Reprinted and modified from Ref. 64 with permission from Springer Nature
Innovations in other nanoelectrode designs
Recent advancements in nanoelectrode technology have focused on overcoming the inherent challenges related to the complexity and high costs of conventional manufacturing processes65. A notable innovation was the development of nanobranched electrode arrays, fabricated using a combination of hydrothermal growth and micromachining66. These electrodes are characterized by dense nanobranches with a high aspect ratio, where each electrode measures 20 × 20 μm2. The individual branches have a tip diameter of approximately 200 nm and a root diameter of around 100 nm. This unique configuration enhances the interface between electrode and cell, significantly improving intracellular signal recording. In experimental studies, these nanobranched electrodes successfully recorded intracellular signals from cardiomyocytes for up to 105 min, demonstrating effectiveness in long-term cell recordings66. This capability makes nanobranched electrodes highly valuable for extended electrophysiological studies.
Another significant advancement was the fabrication of nanotrap matrix electrodes from porous PET membranes using microfabrication lithography and magnetron sputtering67. These nanotrap electrodes incorporate traps of varying sizes and densities, strategically designed to promote a tight seal between the cell membrane and the electrode. This tight seal enables self-protruding electroporation, improving the quality and stability of intracellular recordings. This design can extend recording times to approximately 100 min, further demonstrating the efficacy of advanced electrode configurations67.
In addition to these advanced designs, supramolecular self-assembly electrodes have emerged as a promising way to simplify fabrication and reduce the associated costs68. Unlike traditional 3D micro/nanoelectrodes that require complex micro/nano fabrication or solvothermal synthesis, supramolecular self-assembly relies on small organic molecules that efficiently self-assemble into various 3D nanostructures, such as lamellated nanosheets, thin nanobelts, and rod-like structures68. These structures significantly enhance the cell-electrode interface, increasing quality and prolonging intracellular recordings compared to conventional electrodes. The simpler, cost-effective fabrication process makes these electrodes particularly suitable for large-scale electrophysiological studies. Furthermore, the exploration of additional geometrical designs, such as nanorods, offers potential pathways for further enhancing intracellular recording technologies, ultimately paving the way for more accessible and scalable bioelectronic devices65,69,70.
Advanced materials such as graphene, MoS2, and conductive polymers exhibit exceptional biocompatibility, mainly due to their low cytotoxicity, high surface area, and flexibility, which facilitate efficient interaction and integration with cells71,72. These materials promote cell adhesion and growth while minimizing inflammatory responses, ensuring the long-term stability and functionality of the NEAs. Additionally, surface functionalization with bioactive coatings can further enhance cellular interactions by creating a more favorable microenvironment for cell attachment73. This functionalization makes NEAs ideal for chronic applications in electrophysiology and disease modeling, where sustained compatibility with living cells is crucial.
Strategies for intracellular access
To achieve high-fidelity intracellular signals, the nanodevice probe must penetrate the plasma membrane and establish strong coupling to the membrane. Effective intracellular access should enable high-quality, long-term signal recording while preserving cell viability38,39. Intracellular access methods are broadly categorized into electrode surface modification and physical perforation techniques74. Electrode surface modification, including the use of phospholipids or hydrophobic monolayers, enhances cell adhesion and promotes spontaneous membrane penetration75. In contrast, physical perforation techniques, such as optoporation and electroporation, provide a controlled and precise approach by opening transient pores in the cell membrane.
Electrode surface modification
Spontaneous penetration, driven by chemical processes such as endocytosis and adhesion, occurs naturally with minimal impact on cell viability, allowing cells to securely and intimately adhere to the electrode surface76,77. During this process, the lipid bilayer of the cell membrane undergoes a structural rearrangement, forming a tight and robust seal at the penetration site essential for stable intracellular recordings over time. Surface modifications, such as the application of phospholipids or hydrophobic self-assembled monolayers can further optimize this interaction78–80. These modifications are specifically designed to enhance the formation of high-resistance membrane seals, thereby improving electrode-cell coupling and promoting more consistent, higher-quality intracellular recordings. Additionally, the precise engineering of these surface coatings improves control over the spontaneous penetration of the electrodes into cells, further reducing signal variability and enhancing the stability and duration of the recorded intracellular signals42.
For instance, hexanethiol-coated electrodes have shown remarkable potential by enabling spontaneous fusion with cell membranes, which supports long-term intracellular recordings (Fig. 3a)42. Although this spontaneous fusion significantly enhances recording duration, key challenges such as the complexity and labor-intensive nature of the modification procedures can make scaling up difficult81,82. Additionally, inefficiencies in consistently achieving reliable intracellular access further complicate the use of such electrodes. Spontaneous perforations, while beneficial, are often infrequent and short-lived, leading to difficulties in maintaining consistent and stable recordings83. These limitations highlight the need for further optimization of the electrode surface to improve both effectiveness and durability. Addressing these challenges is essential not only for enhancing the reliability of intracellular recordings but also for expanding their application potential to large-scale studies and broader research settings38.
Fig. 3. Representative penetration strategies for intracellular access.
a (i) Chemical-induced spontaneous penetration indicated via a schematic of the Nanovolcano (NV)-cell interface, with dashed lines indicating the cell membrane at the interface where the cell contacts the electrode. (ii) Top, phase contrast image of a typical 3-day-old primary rat cardiomyocyte monolayer cultured on the NV array. Bottom, transmission electron microscopy (TEM) image alongside an energy-dispersive X-ray spectroscopy map of the redeposited multilayered wall. (iii) Extracellular and intracellular recordings. Reprinted and modified from Ref. 42 with permission from the American Chemical Society. b (i) Top, optoacoustic poration by planar meta-electrodes. Bottom, optical imaging of cells on a complementary metal oxide semiconductor (CMOS)-microelectrode array (MEA) after plasmonic optoacoustic poration. (ii) Bottom, SEM images showing cross-sections of HL-1 cells cultured and fixed on the meta-electrodes of a CMOS-MEA, blue arrows indicate the cell’s tightest adhesion points. Top, overlay with a model of the electric field distribution under laser exposure. (iii) Recordings of extracellular and intracellular signals before and after optoacoustic poration. Reprinted and modified from Ref. 84 with permission from Springer Nature. c (i) Electroporation facilitated by a nanopillar electrode. (ii) Top, brightfield images of HL-1 cells grown on a 3 × 3 grid of Pt pads. Bottom, interface between the cell and nanopillar electrode is uncovered through focused ion beam (FIB) milling, showing that the cell fully encapsulates the nanopillar electrode. (iii) Action potential (AP) recordings before and after electroporation. Reprinted and modified from Ref. 44 with permission from Springer Nature. d (i) Electroporation facilitated by nanocrown electrodes. (ii) Top, brightfield image showing a cardiomyocyte monolayer placed on a nanoelectrode array (NEA) device. Bottom, magnified view, enlarged view, and z-projection of a cell positioned on nanocrown electrodes, highlighting the membrane in green and integrins in purple across the vertical span of the nanocrown. (iii) AP recordings before and after electroporation. Reprinted and modified from Ref. 64 with permission from Springer Nature
Physical perforation techniques
Physical perforation methods like optoporation offer significant advantages over chemically induced techniques, particularly in terms of precision and reduced cellular disruption84,85. Optoporation utilizes a focused laser pulse targeted at the electrode-cell interface, inducing various effects such as hot electron injection, thermal heating, and even bubble explosions, all of which facilitate the opening of transient pores in the cell membrane86–88. These methods, including plasmonic optoporation and optoacoustic poration, are designed to minimize disturbances to normal cellular activities, thereby supporting stable, long-term intracellular recordings. For instance, Dipalo et al. employed plasmonic optoporation together with vertical nanoelectrodes to generate transient nanopores, allowing uninterrupted intracellular recordings for up to 80 min (Fig. 3b)84. In another example, photoacoustic perforation by mechanical waves from optical pulses together with 3D fuzzy graphene electrodes allowed successful recording of intracellular electrical activity for 20 min85. Both techniques demonstrate a more controlled, less invasive approach to intracellular access, enhancing recording quality and duration without significantly compromising cell viability. As such, optoporation methods show great promise in the development of reliable, long-term intracellular recording platforms, contributing to advanced electrophysiological research and related applications89. However, achieving high-throughput parallel regulation using optoporation methods remains challenging. Integrating a 3D moving platform under the microscope provides a viable solution for enabling multisite optoporation, facilitating precise, high-throughput control of cells.
Electroporation, a widely used technique for intracellular recordings, involves applying electrical pulses to the cellular membrane, creating transient and localized pores that enable extracellular electrodes to capture APs90. Bio-membrane perforation in response to electrical stimuli was first documented in 1972; since then, electroporation has been a leading method in nanoelectrode research due to its simplicity, efficiency, and cost-effectiveness45,91. Electroporation is particularly valued for its ability to achieve intracellular access with minimal complexity. For instance, applying biphasic electrical pulses to HL-1 cardiac muscle cells cultured on nanopillar electrodes enables 10 min intracellular AP recordings (Fig. 3c)44. In a more refined approach, Jahed et al. developed a hollow-nanocrown electrode, which not only enhanced electroporation but also achieved a remarkable 99% success rate, significantly extending both the duration and amplitude of intracellular recordings64. Building on this progress, Fang et al. employed a scalable electroporation strategy using hollow nanopillar electrodes, extending intracellular AP recording durations to 100 min70. In addition, the concurrent recording of both intracellular and extracellular APs using 3D NEAs via electroporation has gained considerable attention. For example, Hu et al. successfully recorded intracellular and extracellular signals from neonatal rat cardiomyocytes using 3D nanobranched electrodes66. While electroporation substantially enhances the amplitude and quality of intracellular signals, it has some limitations. The process may temporarily disrupt the cell’s electrophysiological functions and the duration of intracellular access is constrained by the cell membrane’s natural repair mechanisms, which try to quickly reseal the transient pores created during the procedure62,92,93. Despite these challenges, electroporation remains a powerful tool in electrophysiological research, continuously contributing to the development of more effective recording technologies.
Applications of 3D nanodevices for cardiac electrophysiology
Arrhythmias are closely associated with AP function in cardiomyocytes, having a key role in maintaining the heart’s rhythmic contractions94,95. Proper AP generation and propagation depend on the precise regulation of cardiac ion channels; any disruption in this regulation can result in abnormal heart rhythm or arrhythmia96. Thus, a deep understanding of cardiomyocyte APs is essential for both pharmacological testing and disease modeling, as it allows researchers to study how different drugs or genetic conditions might affect cardiac function. Traditional extracellular recordings, while useful, tend to produce low-resolution signals that fail to capture the full complexity of the waveform, often lacking key information on ion channel dynamics69,97. In contrast, intracellular AP recordings from 3D electrodes offer much more detailed data, providing critical insights into the resting membrane potential and specific ion channel activity98–100. Thus, passive 3D nanoelectrodes are particularly valuable in advanced cardiology research, enabling higher-resolution recordings crucial for accurately assessing cardiomyocyte function and investigating the underlying mechanisms of arrhythmias (Table 2).
Table 2.
Summary of passive 3D nanoelectrode applications for cardiac electrophysiology
| Geometry | Fabrication method | Materials | Throughput | Access strategies | Maximum AP (mV) | Duration | Cells | Application | Refs. |
|---|---|---|---|---|---|---|---|---|---|
| gMμEs | CVD, evaporation, photolithography, gold electroplating, etching | Ti-Au- SiO2 | 62 | Electroporation | 6 | 2–10 min | Rat primary cardiomyocytes | - | 48 |
| Vertical nanopillar | PECVD, FIB, photolithography | Pt-Ti-Si3N4-SiO2- Pt | 16 | Electroporation | 11.8 | 10 min | HL-1 cells | Drug screening | 44 |
| Nanopillar | CVD, EBL, FIB, etching | Pt-SiO2 | - | Electroporation | 25.15 | - | hPSC-CMs | Drug screening, Modeling disease | 43 |
| Nanopillar | FIB, deposition, etching | Au-SU8-Pt-SiO2 | 16 | Electroporation | 2.3 | ~10 min | HL-1 cells | Modeling disease | 118 |
| Nanopillar | ALD, photolithography, etching | PET-Al2O3-Au-Ti-SU8 | - | Electroporation | 0.2216 ± 0.2175 | - | Neonatal rat cardiomyocytes | Drug screening | 54 |
| IrOx nanotube | PECVD, EBL, photolithography, etching, deposition | Pt/Ti-Si3N4-SiO2-IrOx | 60 | Electroporation | 15 | ~60 min | HL-1 cells, primary rat cardiomyocytes | - | 60 |
| Vertical NW | PECVD, ALD, photolithography, etching | SiO2-Ti-Pt-SiO2 | 1024 | Electroporation | 20 | - | Rat ventricular cardiomyocytes | Drug screening | 40 |
| Ultrasharp NW | PECVD, EBL, photolithography, etching | Si-SiO2-Pt-SiO2 | 4 | Spontaneous penetration | 60 | - | iPSC-derived cardiovascular progenitor cells | - | 59 |
| 3D plasmonic nanoelectrode | FIB, evaporation | Ti/Au-SU8-SiO2-Polyimide | - | Plasmonic optoporation | 1.5 | ~80 min | HL-1 cells | - | 52 |
| Nanovolcano | EBL, photolithography, deposition, etching | Ti-Pt-Ti-Au-Ti-SiO2-SU8 | 32 | Spontaneous penetration | 20 | Over 1 h | Primary rat cardiomyocytes | - | 42 |
| Nanobranched | Photolithography, hydrothermal growth | ZnO-Cr/Au or Pt-SU8 | 16/32 | Electroporation | ~5 | 105 min | Rat cardiomyocytes | - | 69 |
| Nanorods | Photolithography, hydrothermal growth | ZnO-Cr-Au(or Pt)-SU8 | 32 | Electroporation | ~5 | ~80 s | Neonatal rat cardiomyocytes | - | 72 |
| Nanocrown | FIB, deposition, etching | Cr-Ti-Pt-Si3N4-SiO2 | 58 | Electroporation | ~63 | ~60 min | hPSC-CMs | Drug screening | 66 |
| Nanotrap | Photolithography, deposition | PET-Ti-Au-SU8 | 32 | Electroporation | 4.32 | ~100 min | Neonatal rat cardiomyocytes | Drug screening | 70 |
| Nanowell | FIB, photolithography, deposition, etching | Si-Cr-Au-SiO2-Ni | 16 | Electroporation | ~0.1 | 10–20 min | HL-1 cells | - | 68 |
| Vertical nanotemplate | ALD, photolithography, etching | PET-Al2O3-Ti-Au-SU8 | 32 | Electroporation | 6.97 | 10 min | Primary neonatal rat cardiomyocytes | Drug screening | 53 |
| Hollow nanopillar | ALD, photolithography, etching | PET-Al2O3-Ti-Au-SU8 | 32 | Electroporation | 1.5 | Over 100 min | Primary rat cardiomyocytes | Drug screening | 73 |
| Supramolecular self-assemblies | Evaporation, deposition | Ti-Au-SiO2- SS-1, or SS-2, or SS-3 | 16 | Electroporation | ~4.0 | 10 min | Primary neonatal rat cardiomyocytes | - | 71 |
gMμEs gold mushroom-shaped microelectrodes, CVD chemical vapor deposition, PECVD plasma enhanced CVD, FIB focused ion beam, EBL electron beam lithography, hPSC-CMs human pluripotent stem cells-derived cardiomyocytes, ALD atomic layer deposition, IrOx iridium oxide, NW nanowire
Cardiomyocyte-based passive 3D nanodevices for drug screening
Recent advances in drug development have increased the prevalence of cardiotoxicity-related issues, leading to drug withdrawal and failures in clinical trials101,102. Certain classes of drugs, particularly anticancer treatments, and antibiotics such as propafenone, flecainide, and terbutaline, have been closely associated with severe arrhythmias due to their significant impacts on cardiac ion channels103. Drug-induced cardiotoxicity can be acute and/or chronic, posing considerable challenges to long-term patient safety and requiring more reliable and efficient cardiotoxicity evaluation methods102,104. As a result, interest in the use of NEA platforms for in vitro drug screening has risen, as these platforms enable the detection of subtle changes in cardiomyocyte APs and ion channel activity in response to drug exposure (Fig. 4)18,98,105–107.
Fig. 4. 3D bioelectronic platforms for drug testing and disease modeling.
a–d Applications of 3D NEAs for drug screening. a Intracellular APs recorded by nanopillar electrodes after administration of nifedipine and TEA. Reprinted and modified from Ref. 44 with permission from Springer Nature. b Intracellular APs recorded using CMOS-NEA before and after ATX-II administration. Reprinted and modified from Ref. 40 with permission from Springer Nature. c Large-scale optoacoustic poration and intracellular recording in cell networks. Reprinted and modified from Ref. 84 with permission from Springer Nature. d Nanocrown NEA device and intracellular recordings before and after drug administration at varying concentrations. Reprinted and modified from Ref. 64 with permission from Springer Nature. e Intracellular recordings from hiPSC-CMs using nanopillars, showcasing data from a healthy individual and a patient with hypertrophic cardiomyopathy and long QT syndrome. Reprinted and modified from Ref. 43 with permission from Springer Nature. f Intracellular recordings displaying arrhythmic activity following prolonged hypoxic stress. Reprinted and modified from Ref. 114 with permission from the American Chemical Society
Nanodevices employing passive 3D NEAs are emerging as powerful tools in drug screening, providing critical insights into how drugs impact cardiac ion channels and APs108. For instance, Xie et al. utilized nanopillar electrode arrays to investigate the effects of nifedipine, a calcium channel blocker, and tetraethylammonium (TEA), a potassium channel blocker, on APs in HL-1 cells44. A concentration of 100 nM nifedipine caused a significant reduction in APD50 and extended the refractory period, whereas 10 mM TEA had the opposite effect (Fig. 4a). Further, Abbott et al. developed a CMOS-NEA biosensing platform with 1024 channels allowing for extensive and high-resolution intracellular recordings40. After perfusing cells with ATX-II for 239 s, they observed a uniform increase in AP duration across a cellular sheet, with notable regional differences in the extent of APD prolongation (Fig. 4b). Building on this finding, Dipalo et al. integrated CMOS-NEA technology with planar porous electrodes to enhance functionality84. Human-induced pluripotent stem cells were treated with 500 nM dofetilide, 50 μM tetrodotoxin (TTX), and 50 nM ATX-II, which revealed distinct cellular responses, such as slower repolarization (dofetilide), prolonged depolarization (TTX), and altered cellular shapes (ATX-II; Fig. 4c). Moreover, nanocrown electrode arrays demonstrated exceptional sensitivity to subtle drug-induced changes in cardiac electrophysiology, due to fast-sampling rates and self-referential comparison capabilities64. Jahed et al. developed a 57-electrode nanocrown array, which successfully differentiated drug responses, showing that high-risk drugs like dofetilide (0.3 nM, 1 nM, 3 nM, 10 nM) and D,L-Sotalol (0.1 µM, 1 µM, 10 µM, 100 µM) cause a dose-dependent increase in AP duration, while lower-risk drugs such as verapamil (1 nM, 10 nM, 100 nM, 1000 nM) and nifedipine (1 nM, 10 nM, 100 nM, 1000 nM) decreased AP duration (Fig. 4d)64. These advances highlight the potential of passive 3D NEAs in providing detailed and reliable data for drug screening and cardiac safety assessment.
Passive 3D nanodevices for advanced cardiac disease modeling
In vitro modeling has emerged as an essential tool for creating precisely controlled environments that replicate organ and tissue structures with high accuracy109. Advances in cell culture technologies, including cardiomyocyte cultures, stem cell technologies, and 3D tissue engineering, have enabled the cultivation of myocardial tissue that demonstrates synchronized beating, closely mimicking in vivo behaviors110–112. When integrated with micro-nano fabrication techniques, biomedical technologies provide researchers with powerful platforms for large-scale investigation of disease mechanisms, offering critical insights to drive significant advancements in the understanding of CVDs113.
Passive 3D NEAs show significant potential for advancing disease modeling, offering more precise and detailed studies of cellular behaviors under pathological conditions. Lin et al. developed an innovative disease modeling platform using a 3 × 3 array of vertical Pt nanopillars to study hPSC-CMs43. The system enabled the simultaneous recording of intracellular APs using nanopillar electrodes together with a conventional patch clamp, providing a more comprehensive view of the cells’ electrical activity. The platform was particularly effective in modeling hypertrophic cardiomyopathy, as it accurately captured arrhythmic activity and delayed depolarization patterns, in contrast to the regular beat intervals observed in healthy cardiomyocytes43. Moreover, the platform successfully demonstrated the prolonged APs characteristic of long QT syndrome, further validating its utility in disease-specific research43. In another study, Liu et al. designed a heart-on-a-chip model to investigate the effects of acute hypoxia on cardiac performance114. This advanced model incorporated a microfluidic channel, a cell culture zone, and embedded electronic components capable of recording both extracellular and intracellular electrical signals. Under hypoxic conditions (1% O2) over a 6-h period, the platform revealed significant decreases in APD50, APD90, and depolarization time in cardiomyocytes, demonstrating the system’s sensitivity to changes in the cellular environment. These effects persisted throughout the study (at 0, 2, 4, and 6 h), providing valuable insights into how hypoxia impacts cardiac electrical activity over time114. Future advances in passive 3D NEAs are expected to involve the integration of CMOS circuits, enabling the development of high-throughput, high-resolution electrophysiological platforms to simultaneously study multiple parameters, offering a more detailed investigation of cellular activities115,116. Additionally, the combination of passive 3D NEAs with tissue engineering technologies holds the potential to create more accurate and biomimetic 3D tissue models for disease studies117,118. Such systems, equipped with multiparameter sensing and regulatory capabilities, could pave the way for comprehensive investigations into the physiological mechanisms that govern cellular functions, ultimately contributing to better understanding and treatment of complex cardiac diseases25,119.
Perspective and conclusion
Emerging trends in micro-nano-bioelectronics, with 3D NEAs at the forefront, are shaping the future of intracellular recordings, particularly in cardiac research. These advanced devices hold tremendous potential for more precise and high-resolution insights into cardiac activity, helping to uncover new therapeutic approaches for heart diseases. However, several challenges must be addressed to fully realize the promise of passive 3D NEAs. First, further optimizing the design and penetration techniques of passive NEAs is critical for achieving efficient interfacing with cardiomyocytes35,108,120. Electroporation faces challenges such as membrane disruption, inconsistent permeabilization, and noise interference during intracellular recordings41. Single-pulse electroporation is considered a less invasive method for the study of cardiomyocytes; however, precise regulation of parameters such as pulse amplitude and duration is critical for enhancing recording fidelity64,121. Advancing single-pulse techniques and integrating advanced noise-reduction strategies are vital for achieving stable, safe, and high-quality intracellular recordings. Second, integration of NEAs with CMOS technology, which has the potential to enable high-throughput, high-resolution intracellular recordings at a large scale122–124. CMOS integration significantly improves spatial resolution by minimizing the number of leads at the electrode layer, achieved through shared leads, allowing for thousands of electrodes to be integrated. Leveraging addressable capabilities, these passive NEAs enable recordings at both the single cells and their networks, allowing for precise cell modulation and the detailed mapping of electrical activity propagation within the cells40. Furthermore, combining passive NEAs with CMOS technology boosts scalability by enabling high-density electrode integration, parallel data processing, miniaturization, and cost-effective production, making the system suitable for large-scale applications125. However, while CMOS integration enhances functionality, new technical challenges arise, such as the need for innovative solutions to maintain signal fidelity, manage heat dissipation, and ensure seamless integration of the two technologies123,125,126. Consequently, material selection and structural precision remain critical factors127–129. Ongoing research focuses on refining manufacturing methods and material properties to improve the overall performance of these devices38. Compared to traditional inorganic electrodes, new soft and functionalized materials offer significant potential for enhancing the biocompatibility of NEAs. To effectively incorporate these promising biocompatible materials into passive 3D NEAs, developing optimized fabrication techniques that suit their unique properties is essential. Conventional fabrication methods often lack compatibility with soft materials, necessitating the development of innovative dry patterning, low-temperature deposition, and plasma-free processes that are compatible with novel materials130. Certain 2D materials are prone to oxidation in biochemical environments, necessitating the development of surface passivation techniques that not only maintain electrical conductivity but also provide effective insulation against water and oxygen. These advancements would not only improve biocompatibility but also enhance the long-term stability of the devices. Furthermore, future developments in multiparameter detection aim to revolutionize the use of 3D nanoelectrodes, particularly for drug toxicity assessments69,100,131. By enabling simultaneous monitoring of multiple biological parameters, the reliability and effectiveness of the drug screening platforms could be significantly enhanced99,132–134. The use of organoids will further strengthen these drug testing systems, providing a more accurate representation of how drugs interact with human tissues135–138. Beyond drug screening, integrating bioelectronic devices with electrical stimulation technologies offers promising new treatments for cardiac conditions such as arrhythmias139. By applying targeted electrical impulses to heart tissues, these devices could help restore normal heart rhythms140.
In summary, passive 3D NEAs represent promising tools for cardiovascular research and drug development, offering precise, long-term intracellular recordings of cardiomyocytes. Integration with microfluidic systems, CMOS technology, and real-time drug delivery will transform the landscape of CVD research and treatment. In the future, advances in materials, microfluidics, and chip technologies will drive the development of multifunctional, integrated diagnostic and therapeutic platforms for CVDs.
Author contributions
K.S., C.H., H.P., and N.H. conducted the literature review and wrote the manuscript. D.L. prepared the figures. K.S., J.Z., W.H., Y.X., and N.H. contributed to the review and editing of the manuscript.
Conflict of interest
The authors declare no competing interests.
Footnotes
These authors contributed equally: Keda Shi, Chengwen He, Hui Pan.
Contributor Information
Ji Zhang, Email: suesue66@yeah.net.
Weili Han, Email: zjhzhwldoc@zju.edu.cn.
Yuting Xiang, Email: xiangyt@pku.org.cn.
Ning Hu, Email: huning@zju.edu.cn.
References
- 1.Roth, G. A. et al. Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the GBD 2019 study. J. Am. Coll. Cardiol.76, 2982–3021 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Amini, M., Zayeri, F. & Salehi, M. Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: results from global burden of disease study 2017. BMC Public Health21, 401 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Piñeiro, D. J., Codato, E., Mwangi, J., Eiselé, J.-L. & Narula, J. Accelerated reduction in global cardiovascular disease is essential to achieve the Sustainable Development Goals. Nat. Rev. Cardiol.20, 577–578 (2023). [DOI] [PubMed] [Google Scholar]
- 4.Mladěnka, P. et al. Comprehensive review of cardiovascular toxicity of drugs and related agents. Med. Res. Rev.38, 1332–1403 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Maddox, J. et al. Forecasting the burden of cardiovascular disease and stroke in the United States through 2050—prevalence of risk factors and disease: a presidential advisory from the American Heart Association. Circulation150, e65–e88 (2024). [DOI] [PubMed] [Google Scholar]
- 6.Sagheer, U. et al. Environmental pollution and cardiovascular disease: part 1 of 2: air pollution. JACC Adv.3, 100805 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bhatnagar, A. Environmental determinants of cardiovascular disease. Circ. Res.121, 162–180 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Fogel, D. B. Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: a review. Contemp. Clin. Trials Commun.11, 156–164 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Slomka, P. J. et al. Cardiac imaging: working towards fully-automated machine analysis & interpretation. Expert Rev. Med. Devices14, 197–212 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Karlstaedt, A. & Taegtmeyer, H. Cardio-onco-metabolism – metabolic vulnerabilities in cancer and the heart. J. Mol. Cell. Cardiol.171, 71–80 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jafari, M. et al. Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: a review. Comput. Biol. Med.160, 106998 (2023). [DOI] [PubMed] [Google Scholar]
- 12.Marano, R. et al. CCTA in the diagnosis of coronary artery disease. Radiol. Med.125, 1102–1113 (2020). [DOI] [PubMed] [Google Scholar]
- 13.Sermesant, M., Delingette, H., Cochet, H., Jaïs, P. & Ayache, N. Applications of artificial intelligence in cardiovascular imaging. Nat. Rev. Cardiol.18, 600–609 (2021). [DOI] [PubMed] [Google Scholar]
- 14.Andrysiak, K., Stępniewski, J. & Dulak, J. Human-induced pluripotent stem cell-derived cardiomyocytes, 3D cardiac structures, and heart-on-a-chip as tools for drug research. Pflug. Arch. Eur. J. Physiol.473, 1061–1085 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dunlop, J., Bowlby, M., Peri, R., Vasilyev, D. & Arias, R. High-throughput electrophysiology: an emerging paradigm for ion-channel screening and physiology. Nat. Rev. Drug Discov.7, 358–368, (2008). [DOI] [PubMed] [Google Scholar]
- 16.Wei, X. et al. Efficacy and cardiotoxicity integrated assessment of anticancer drugs by a dual functional cell-based biosensor. Sens. Actuators B283, 881–889 (2019). [Google Scholar]
- 17.Liang, P. et al. Drug screening using a library of human induced pluripotent stem cell–derived cardiomyocytes reveals disease-specific patterns of cardiotoxicity. Circulation127, 1677–1691 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Liu, Q. et al. Cell-based biosensors and their application in biomedicine. Chem. Rev.114, 6423–6461 (2014). [DOI] [PubMed] [Google Scholar]
- 19.Parrotta, E. I., Lucchino, V., Scaramuzzino, L., Scalise, S. & Cuda, G. Modeling cardiac disease mechanisms using induced pluripotent stem cell-derived cardiomyocytes: progress, promises and challenges. Int. J. Mol. Sci.21, 4354 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sharma, A. K. et al. New drug discovery of cardiac anti-arrhythmic drugs: insights in animal models. Sci. Rep.13, 16420 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Li, H. et al. Specific recognition of ion channel blocker by high-content cardiomyocyte electromechanical integrated correlation. Biosens. Bioelectron.162, 112273 (2020). [DOI] [PubMed] [Google Scholar]
- 22.Okada, Y. Patch Clamp Techniques (Springer, 2012).
- 23.Bell, D. C. & Fermini, B. Use of automated patch clamp in cardiac safety assessment: past, present and future perspectives. J. Pharmacol. Toxicol. Methods110, 107072 (2021). [DOI] [PubMed] [Google Scholar]
- 24.Seibertz, F. et al. A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes. Commun. Biol.5, 969 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wei, X. et al. Advances in multidimensional cardiac biosensing technologies: from electrophysiology to mechanical motion and contractile force. Small16, 2005828 (2020). [DOI] [PubMed] [Google Scholar]
- 26.Mikhailov, A. V. et al. Comprehensive evaluation of electrophysiological and 3D structural features of human atrial myocardium with insights on atrial fibrillation maintenance mechanisms. J. Mol. Cell Cardiol.151, 56–71 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Han, B., Trew, M. L. & Zgierski-Johnston, C. M. Cardiac conduction velocity, remodeling and arrhythmogenesis. Cells10, 2923 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Yang, Y. et al. Cardiotoxicity drug screening based on whole-panel intracellular recording. Biosens. Bioelectron.216, 114617 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Malik, S., Muhammad, K. & Waheed, Y. Nanotechnology: a revolution in modern industry. Molecules28, 661 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kim, H., Rigo, B., Wong, G., Lee, Y. J. & Yeo, W.-H. Advances in wireless, batteryless, implantable electronics for real-time, continuous physiological monitoring. Nano Micro Lett.16, 52 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Dinis, H. & Mendes, P. M. A comprehensive review of powering methods used in state-of-the-art miniaturized implantable electronic devices. Biosens. Bioelectron.172, 112781 (2021). [DOI] [PubMed] [Google Scholar]
- 32.Dai, D., Bauters, J. & Bowers, J. E. Passive technologies for future large-scale photonic integrated circuits on silicon: polarization handling, light non-reciprocity and loss reduction. Light Sci. Appl.1, e1–e1 (2012). [Google Scholar]
- 33.Xiang, Y. et al. Active micro-nano-collaborative bioelectronic device for advanced electrophysiological recording. Nano Micro Lett.16, 132 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Berthing, T. et al. Cell membrane conformation at vertical nanowire array interface revealed by fluorescence imaging. Nanotechnology23, 415102 (2012). [DOI] [PubMed] [Google Scholar]
- 35.Elnathan, R. et al. Biointerface design for vertical nanoprobes. Nat. Rev. Mater.7, 953–973 (2022). [Google Scholar]
- 36.Hanson, L., Lin, Z. C., Xie, C., Cui, Y. & Cui, B. Characterization of the cell–nanopillar interface by transmission electron microscopy. Nano Lett.12, 5815–5820, (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zhao, W. et al. Nanoscale manipulation of membrane curvature for probing endocytosis in live cells. Nat. Nanotechnol.12, 750–756 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Xu, D., Mo, J., Xie, X. & Hu, N. In-cell nanoelectronics: opening the door to intracellular electrophysiology. Nanomicro Lett.13, 127 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Abbott, J., Ye, T., Ham, D. & Park, H. Optimizing nanoelectrode arrays for scalable intracellular electrophysiology. Acc. Chem. Res.51, 600–608 (2018). [DOI] [PubMed] [Google Scholar]
- 40.Abbott, J. et al. CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging. Nat. Nanotechnol.12, 460–466 (2017). [DOI] [PubMed] [Google Scholar]
- 41.Cerea, A. et al. Selective intracellular delivery and intracellular recordings combined in MEA biosensors. Lab Chip18, 3492–3500 (2018). [DOI] [PubMed] [Google Scholar]
- 42.Desbiolles, B. X. E., de Coulon, E., Bertsch, A., Rohr, S. & Renaud, P. Intracellular recording of cardiomyocyte action potentials with nanopatterned volcano-shaped microelectrode arrays. Nano Lett.19, 6173–6181 (2019). [DOI] [PubMed] [Google Scholar]
- 43.Lin, Z. C. et al. Accurate nanoelectrode recording of human pluripotent stem cell-derived cardiomyocytes for assaying drugs and modeling disease. Microsyst. Nanoeng.3, 16080 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Xie, C., Lin, Z., Hanson, L., Cui, Y. & Cui, B. Intracellular recording of action potentials by nanopillar electroporation. Nat. Nanotechnol.7, 185–190, (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Thomas, C. Jr, Springer, P., Loeb, G., Berwald-Netter, Y. & Okun, L. A miniature microelectrode array to monitor the bioelectric activity of cultured cells. Exp. Cell. Res.74, 61–66 (1972). [DOI] [PubMed] [Google Scholar]
- 46.Zhang, A. & Lieber, C. M. Nano-bioelectronics. Chem. Rev.116, 215–257 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Fendyur, A. & Spira, M. E. Toward on-chip, in-cell recordings from cultured cardiomyocytes by arrays of gold mushroom-shaped microelectrodes. Front. Neuroeng.5, 21 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Teixeira, H., Dias, C., Aguiar, P. & Ventura, J. Gold-mushroom microelectrode arrays and the quest for intracellular-like recordings: perspectives and outlooks. Adv. Mater. Technol.6, 2000770 (2021). [Google Scholar]
- 49.Spira, M. E., Shmoel, N., Huang, S.-H. M. & Erez, H. Multisite attenuated intracellular recordings by extracellular multielectrode arrays, a perspective. Front. Neurosci. 12, 212 (2018). [DOI] [PMC free article] [PubMed]
- 50.Dipalo, M. et al. Intracellular and extracellular recording of spontaneous action potentials in mammalian neurons and cardiac cells with 3D plasmonic nanoelectrodes. Nano Lett.17, 3932–3939 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Xu, D. et al. Porous polyethylene terephthalate nanotemplate electrodes for sensitive intracellular recording of action potentials. Nano Lett.22, 2479–2489 (2022). [DOI] [PubMed] [Google Scholar]
- 52.Zhu, K. et al. Three-dimensional cardiomyocyte–nanobiosensing system for specific recognition of drug subgroups. ACS Sens.8, 2197–2206 (2023). [DOI] [PubMed] [Google Scholar]
- 53.Liu, X. et al. Sensitive and prolonged intracellular electrophysiological recording by three-dimensional nanodensity regulation. VIEW4, 20230031 (2023). [Google Scholar]
- 54.Park, W. et al. Transparent intracellular sensing platform with Si needles for simultaneous live imaging. ACS Nano17, 25014–25026 (2023). [DOI] [PubMed] [Google Scholar]
- 55.Wu, Q. et al. Flexible 3D printed microwires and 3D microelectrodes for heart-on-a-chip engineering. Biofabrication15, 035023 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Fan, H. J., Werner, P. & Zacharias, M. Semiconductor nanowires: from self-organization to patterned growth. Small2, 700–717, (2006). [DOI] [PubMed] [Google Scholar]
- 57.Liu, R. et al. Ultra-sharp nanowire arrays natively permeate, record, and stimulate intracellular activity in neuronal and cardiac networks. Adv. Funct. Mater.32, 2108378 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Lin, Z. C., Xie, C., Osakada, Y., Cui, Y. & Cui, B. Iridium oxide nanotube electrodes for sensitive and prolonged intracellular measurement of action potentials. Nat. Commun.5, 3206 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Takei, K. et al. Microtube-based electrode arrays for low invasive extracellular recording with a high signal-to-noise ratio. Biomed. Microdevices12, 41–48 (2010). [DOI] [PubMed] [Google Scholar]
- 60.Wang, H. et al. Optimizing the cell–nanostructure interface: nanoconcave/nanoconvex device for intracellular recording of cardiomyocytes. Nano Lett.23, 11884–11891 (2023). [DOI] [PubMed] [Google Scholar]
- 61.Pan, A. I. et al. Direct-growth carbon nanotubes on 3D structural microelectrodes for electrophysiological recording. Analyst141, 279–284 (2016). [DOI] [PubMed] [Google Scholar]
- 62.Desbiolles, B. X. E. et al. Nanovolcano microelectrode arrays: toward long-term on-demand registration of transmembrane action potentials by controlled electroporation. Microsyst. Nanoeng.6, 67 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Maïno, N., Bertsch, A. & Renaud, P. Impedance spectroscopy of the cell/nanovolcano interface enables optimization for electrophysiology. Microsyst. Nanoeng.9, 62 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Jahed, Z. et al. Nanocrown electrodes for parallel and robust intracellular recording of cardiomyocytes. Nat. Commun.13, 2253 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Xiang, Y. et al. A biosensing system employing nanowell microelectrode arrays to record the intracellular potential of a single cardiomyocyte. Microsyst. Nanoeng.8, 70 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Hu, N. et al. Intracellular recording of cardiomyocyte action potentials by nanobranched microelectrode array. Biosens. Bioelectron.169, 112588 (2020). [DOI] [PubMed] [Google Scholar]
- 67.Xu, D. et al. Scalable nanotrap matrix enhanced electroporation for intracellular recording of action potential. Nano Lett.22, 7467–7476 (2022). [DOI] [PubMed] [Google Scholar]
- 68.Xiao, X. et al. Sensitive intracellular recording of action potentials by supramolecular self-assembled electrodes. Adv. Funct. Mater.34, 2404634.
- 69.Xu, D. et al. Synchronized intracellular and extracellular recording of action potentials by three-dimensional nanoroded electroporation. Biosens. Bioelectron.192, 113501 (2021). [DOI] [PubMed] [Google Scholar]
- 70.Fang, J. et al. Scalable and robust hollow nanopillar electrode for enhanced intracellular action potential recording. Nano Lett.23, 243–251 (2023). [DOI] [PubMed] [Google Scholar]
- 71.Radsar, T., Khalesi, H. & Ghods, V. Graphene properties and applications in nanoelectronic. Opt. Quantum Electron.53, 178 (2021). [Google Scholar]
- 72.Reshmi, S. & Late, D. J. in Science and Technology of 2D MoS2 (eds Late, D. J. & Rout, C. S.) 135–156 (Springer Nature, Singapore, 2024).
- 73.Roh, S., Jang, Y., Yoo, J. & Seong, H. Surface modification strategies for biomedical applications: enhancing cell–biomaterial interfaces and biochip performances. Biochip J.17, 174–191 (2023). [Google Scholar]
- 74.Stewart, M. P., Langer, R. & Jensen, K. F. Intracellular delivery by membrane disruption: mechanisms, strategies, and concepts. Chem. Rev.118, 7409–7531 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Dipalo, M. et al. Membrane poration mechanisms at the cell–nanostructure interface. Adv. Biosyst.3, 1900148 (2019). [DOI] [PubMed] [Google Scholar]
- 76.Mariano, A. et al. Advances in cell-conductive polymer biointerfaces and role of the plasma membrane. Chem. Rev.122, 4552–4580 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Liu, G. et al. Biocompatible material-based flexible biosensors: from materials design to wearable/implantable devices and integrated sensing systems. Small19, 2207879 (2023). [DOI] [PubMed] [Google Scholar]
- 78.Zhao, L. et al. A critical review on recent progress of solution‐processed monolayer assembly of nanomaterials and applications. Small 2312268, 10.1002/smll.202312268 (2024). [DOI] [PubMed]
- 79.Duan, X. et al. Intracellular recordings of action potentials by an extracellular nanoscale field-effect transistor. Nat. Nanotechnol.7, 174–179 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Zhao, Y. et al. Scalable ultrasmall three-dimensional nanowire transistor probes for intracellular recording. Nat. Nanotechnol.14, 783–790 (2019). [DOI] [PubMed] [Google Scholar]
- 81.Tverdokhlebova, A., Sterin, I., Smutok, O. & Katz, E. Modification of electrodes with self-assembled monolayers—general principles. J. Solid State Electrochem.28, 711–755 (2024). [Google Scholar]
- 82.Siddiqui, A.-R. et al. Spectroelectrochemical determination of thiolate self-assembled monolayer adsorptive stability in aqueous and non-aqueous electrolytes. Analyst149, 2842–2854 (2024). [DOI] [PubMed] [Google Scholar]
- 83.Chung, T. et al. Electrode modifications to lower electrode impedance and improve neural signal recording sensitivity. J. Neural Eng.12, 056018 (2015). [DOI] [PubMed] [Google Scholar]
- 84.Dipalo, M. et al. Plasmonic meta-electrodes allow intracellular recordings at network level on high-density CMOS-multi-electrode arrays. Nat. Nanotechnol.13, 965–971 (2018). [DOI] [PubMed] [Google Scholar]
- 85.Dipalo, M. et al. Intracellular action potential recordings from cardiomyocytes by ultrafast pulsed laser irradiation of fuzzy graphene microelectrodes. Sci. Adv.7, eabd5175 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Bucharskaya, A. et al. Towards effective photothermal/photodynamic treatment using plasmonic gold nanoparticles. Int. J. Mol. Sci. 17, 1295 (2016). [DOI] [PMC free article] [PubMed]
- 87.Lakshmanan, S. et al. Physical energy for drug delivery; poration, concentration and activation. Adv. Drug Deliv. Rev.71, 98–114 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Iachetta, G. et al. Improving reliability and reducing costs of cardiotoxicity assessments using laser-induced cell poration on microelectrode arrays. Toxicol. Appl. Pharmacol.418, 115480 (2021). [DOI] [PubMed] [Google Scholar]
- 89.Yoo, J. et al. Long-term intracellular recording of optogenetically-induced electrical activities using vertical nanowire multi electrode array. Sci. Rep.10, 4279 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Choi, S.-E., Khoo, H. & Hur, S. C. Recent advances in microscale electroporation. Chem. Rev.122, 11247–11286 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Kar, S. et al. Single-cell electroporation: current trends, applications and future prospects. J. Micromech. Microeng.28, 123002 (2018). [Google Scholar]
- 92.White, J. A. et al. Plasma membrane charging of Jurkat cells by nanosecond pulsed electric fields. Eur. Biophys. J.40, 947–957 (2011). [DOI] [PubMed] [Google Scholar]
- 93.McNeil, P. L. & Kirchhausen, T. An emergency response team for membrane repair. Nat. Rev. Mol. Cell Biol.6, 499–505 (2005). [DOI] [PubMed] [Google Scholar]
- 94.András, V. et al. Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior. Physiol. Rev. 101, 1083–1176 (2021). [DOI] [PubMed]
- 95.Liu, J., Laksman, Z. & Backx, P. H. The electrophysiological development of cardiomyocytes. Adv. Drug Deliv. Rev.96, 253–273 (2016). [DOI] [PubMed] [Google Scholar]
- 96.Chiamvimonvat, N. et al. Potassium currents in the heart: functional roles in repolarization, arrhythmia and therapeutics. J. Physiol.595, 2229–2252 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Mahmud, M. & Vassanelli, S. Processing and analysis of multichannel extracellular neuronal signals: state-of-the-art and challenges. Front. Neurosci.10, 248 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Melle, G. et al. Intracellular recording of human cardiac action potentials on market-available multielectrode array platforms. Front. Bioeng. Biotechnol.8, 66 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Xu, D. et al. A universal, multimodal cell-based biosensing platform for optimal intracellular action potential recording. Biosens. Bioelectron.206, 114122 (2022). [DOI] [PubMed] [Google Scholar]
- 100.Park, J. S. et al. Intracellular cardiomyocytes potential recording by planar electrode array and fibroblasts co-culturing on multi-modal CMOS chip. Biosens. Bioelectron.144, 111626 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Škrbić, R., Bojić, M. G. & Stojiljković, M. P. in Environmental Factors in the Pathogenesis of Cardiovascular Diseases 453–476 (Springer, 2024).
- 102.Ferri, N. et al. Drug attrition during pre-clinical and clinical development: Understanding and managing drug-induced cardiotoxicity. Pharmacol. Ther.138, 470–484 (2013). [DOI] [PubMed] [Google Scholar]
- 103.Tisdale, J. E. et al. Drug-induced arrhythmias: a scientific statement from the American Heart Association. Circulation142, e214–e233 (2020). [DOI] [PubMed] [Google Scholar]
- 104.Jans, D. et al. Action potential-based MEA platform for in vitro screening of drug-induced cardiotoxicity using human iPSCs and rat neonatal myocytes. J. Pharmacol. Toxicol. Methods87, 48–52 (2017). [DOI] [PubMed] [Google Scholar]
- 105.Shukla, S. J., Huang, R., Austin, C. P. & Xia, M. The future of toxicity testing: a focus on in vitro methods using a quantitative high-throughput screening platform. Drug. Discov. Today15, 997–1007 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Astashkina, A., Mann, B. & Grainger, D. W. A critical evaluation of in vitro cell culture models for high-throughput drug screening and toxicity. Pharmacol. Ther.134, 82–106 (2012). [DOI] [PubMed] [Google Scholar]
- 107.Pfeiffer-Kaushik, E. R. et al. Electrophysiological characterization of drug response in hSC-derived cardiomyocytes using voltage-sensitive optical platforms. J. Pharmacol. Toxicol. Methods99, 106612 (2019). [DOI] [PubMed] [Google Scholar]
- 108.Pei, F. & Tian, B. Nanoelectronics for minimally invasive cellular recordings. Adv. Funct. Mater.30, 1906210 (2020). [Google Scholar]
- 109.Jain, P., Kathuria, H. & Dubey, N. Advances in 3D bioprinting of tissues/organs for regenerative medicine and in-vitro models. Biomaterials287, 121639 (2022). [DOI] [PubMed] [Google Scholar]
- 110.Chae, S., Ha, D. H. & Lee, H. 3D bioprinting strategy for engineering vascularized tissue models. Int. J. Bioprint9, 748 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Bliley, J. M., Stang, M. A., Behre, A. & Feinberg, A. W. Advances in 3D bioprinted cardiac tissue using stem cell-derived cardiomyocytes. Stem Cells Transl. Med.13, 425–435 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Masuda, S. & Shimizu, T. Three-dimensional cardiac tissue fabrication based on cell sheet technology. Adv. Drug Deliv. Rev.96, 103–109 (2016). [DOI] [PubMed] [Google Scholar]
- 113.Omidian, H., Babanejad, N. & Cubeddu, L. X. Nanosystems in cardiovascular medicine: advancements, applications, and future perspectives. Pharmaceutics15, 1935 (2023). [DOI] [PMC free article] [PubMed]
- 114.Liu, H. et al. Heart-on-a-chip model with integrated extra- and intracellular bioelectronics for monitoring cardiac electrophysiology under acute hypoxia. Nano Lett.20, 2585–2593 (2020). [DOI] [PubMed] [Google Scholar]
- 115.Tzouvadaki, I. & Prodromakis, T. Large-scale nano-biosensing technologies. Front. Nanotechnol.5, 1127363 (2023). [Google Scholar]
- 116.Abbott, J. et al. A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons. Nat. Biomed. Eng.4, 232–241 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Nam, K.-H., Smith, A. S., Lone, S., Kwon, S. & Kim, D.-H. Biomimetic 3D tissue models for advanced high-throughput drug screening. J. Lab. Autom.20, 201–215 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Mazzocchi, A., Soker, S. & Skardal, A. 3D bioprinting for high-throughput screening: Drug screening, disease modeling, and precision medicine applications. Appl. Phys. Rev. 6, 011302 (2019). [DOI] [PMC free article] [PubMed]
- 119.Zhang, H., Whalley, R. D., Ferreira, A. M. & Dalgarno, K. High throughput physiological micro-models for in vitro pre-clinical drug testing: a review of engineering systems approaches. Prog. Biomed. Eng.2, 022001 (2020). [Google Scholar]
- 120.McGuire, A. F., Santoro, F. & Cui, B. Interfacing cells with vertical nanoscale devices: applications and characterization. Annu. Rev. Anal. Chem.11, 101–126 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Han, H. et al. Elevating intracellular action potential recording in cardiomyocytes: a precision-enhanced and biosafe single-pulse electroporation system. Biosens. Bioelectron.246, 115860 (2024). [DOI] [PubMed] [Google Scholar]
- 122.Hierlemann, A., Frey, U., Hafizovic, S. & Heer, F. Growing cells atop microelectronic chips: interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays. Proc. IEEE99, 252–284 (2010). [Google Scholar]
- 123.Tsai, D., Sawyer, D., Bradd, A., Yuste, R. & Shepard, K. L. A very large-scale microelectrode array for cellular-resolution electrophysiology. Nat. Commun.8, 1802 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Lee, J. et al. Repeated and on-demand intracellular recordings of cardiomyocytes derived from human-induced pluripotent stem cells. ACS Sens.7, 3181–3191 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Schofield, Z. et al. Bioelectrical understanding and engineering of cell biology. J. R. Soc. Interface17, 20200013 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Jacob, A. P. et al. Scaling challenges for advanced CMOS devices. Int. J. High Speed Electron. Syst.26, 1740001 (2017). [Google Scholar]
- 127.Zhao, S., Ding, H., Li, X., Cao, H. & Zhu, Y. The selection and design of electrode materials for field emission devices. Mater. Sci. Semicond. Process.167, 107804 (2023). [Google Scholar]
- 128.Sciurti, E. et al. Nanoelectrodes for intracellular and intercellular electrochemical detection: working principles, fabrication techniques and applications. J. Electroanal. Chem.929, 117125 (2023). [Google Scholar]
- 129.Santoro, F. et al. Interfacing electrogenic cells with 3D nanoelectrodes: position, shape, and size matter. ACS Nano8, 6713–6723 (2014). [DOI] [PubMed] [Google Scholar]
- 130.Nallan, H. C., Yang, X., Coffey, B. M., & Ekerdt, J. G. Low temperature, area-selective atomic layer deposition of NiO and Ni. J. Vac. Sci. Technol. A. 40, 062406 (2022).
- 131.Kanade, P. P. et al. MEA-integrated cantilever platform for comparison of real-time change in electrophysiology and contractility of cardiomyocytes to drugs. Biosens. Bioelectron.216, 114675 (2022). [DOI] [PubMed] [Google Scholar]
- 132.Zhang, D., Xiang, Y., Zou, Q., Zhu, K. & Hu, N. Electromechanical integrated recording of single cardiomyocyte in situ by multimodal microelectrode biosensing system. Biosens. Bioelectron.212, 114387 (2022). [DOI] [PubMed] [Google Scholar]
- 133.Rabieh, N. et al. On-chip, multisite extracellular and intracellular recordings from primary cultured skeletal myotubes. Sci. Rep.6, 36498 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Dou, W. et al. A carbon-based biosensing platform for simultaneously measuring the contraction and electrophysiology of iPSC-cardiomyocyte monolayers. ACS Nano16, 11278–11290 (2022). [DOI] [PubMed] [Google Scholar]
- 135.Richards, D. J. et al. Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity. Nat. Biomed. Eng.4, 446–462 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Ingber, D. E. Human organs-on-chips for disease modelling, drug development and personalized medicine. Nat. Rev. Genet.23, 467–491 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Dai, X., Zhou, W., Gao, T., Liu, J. & Lieber, C. M. Three-dimensional mapping and regulation of action potential propagation in nanoelectronics-innervated tissues. Nat. Nanotechnol.11, 776–782 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Lewis-Israeli, Y. R. et al. Self-assembling human heart organoids for the modeling of cardiac development and congenital heart disease. Nat. Commun.12, 5142 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Xu, D. et al. Scalable drug-mimicking nanoplasmonic therapy for bradyarrhythmia in cardiomyocytes. Nano Lett.24, 11302–11310 (2024). [DOI] [PubMed] [Google Scholar]
- 140.Lyu, X. et al. Near-infrared-triggered plasmonic regulation and cardiomyocyte-based biosensing system for in vitro bradyarrhythmia treatment. Biosens. Bioelectron.262, 116554 (2024). [DOI] [PubMed] [Google Scholar]




