Conducting Hydrogel‐Based Neural Biointerfacing Technologies

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Abstract Neural biointerfacing, enabling direct communication between neural systems and external devices, holds great promises for applications in brain machine interfaces, prosthetics, neuromodulation. However, current electronics made of conventional rigid materials are challenged by their inherent mechanical mismatch with the tissues. Hydrogel bioelectronics, properties compatible tissues, represent an alternative to these limitations enable next‐generation biointerfacing technology. Here, overview cutting‐edge research on conducting hydrogels (CHs) bioelectronics development, emphasizing material design principles, manufacturing techniques, essential requirements, corresponding application scenarios is presented. Future challenges potential directions regarding CHs‐based technologies, including long‐term reliability, multimodal hydrogel closed‐loop system wireless power supply system, raised. It believed that this review will serve as a valuable resource further advancement implementation

Язык: Английский

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Nanofluidics

Nature Reviews Methods Primers, Год журнала: 2024, Номер 4(1)

Опубликована: Сен. 19, 2024

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Microscale droplet assembly enables biocompatible multifunctional modular iontronics

Science, Год журнала: 2024, Номер 386(6725), С. 1024 - 1030

Опубликована: Ноя. 28, 2024

Hydrogel iontronic devices can emulate biological functions and communicate with living matter. But the fabrication of miniature, soft according to modular designs has not been achieved. In this work, we report use surfactant-supported assembly freestanding microscale hydrogel droplets construct various modules, circuits, biointerfaces. Chemical modifications silk fibroin produced a pair oppositely charged hydrogels. Microscale combinations diodes, npn- pnp-type transistors, diverse reconfigurable logic gates. Through incorporation poly(amino acid)s, have demonstrated droplet-based synthetic synapse ionic polymer-mediated long-term plasticity. Further, our transistor serve as biocompatible sensor record electrophysiological signals from sheets human cardiomyocytes, paving way building miniature bioiontronic systems.

Язык: Английский

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Recent advances in fluidic neuromorphic computing

Applied Physics Reviews, Год журнала: 2025, Номер 12(2)

Опубликована: Апрель 21, 2025

Human brain is capable of optimizing information flow and processing without energy-intensive data shuttling between processor memory. At the core this unique capability are billions neurons connected through trillions synapses—basic units brain. The action potentials or “spikes” based temporal using regulated ions across ion channels in neuron cells allows sparse efficient transmission Emerging systems on confined fluidic have provided a framework for new type neuromorphic computing with lower energy consumption, hardware-level plasticity, multiple carriers that emulate natural processes mechanisms human These mimic neuronal architectures by harnessing modulating transport along artificial channels. spikes-induced ion-to-surface interactions within these enables control ionic conductivity to achieve synaptic plasticity realization brain-inspired functionalities such as memory effect signal transmission. Herein, review provides an overview recent advances devices memristors other components, covering their basic operations, materials architectures, well applications computing. concludes brief outline challenges emerging technologies face outlook development fluidic-based

Язык: Английский

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Soft Memristor at a Microbubble Interface

Nano Letters, Год журнала: 2024, Номер 24(34), С. 10475 - 10481

Опубликована: Авг. 8, 2024

Memristors show promising features for neuromorphic computing. Here we report a soft memristor based on the liquid–vapor surface of microbubble. The thickness liquid film was modulated by electrostatic and interfacial forces, enabling resistance switches. We found pinched current hysteresis at scanning periods between 1.6 51.2 s, while representing resistor below s diode-like behavior above s. approximate thickening/thinning dynamics pressure-driven flow interface derived impacts salt concentration voltage amplitude memory effects. Our work opens new approach to building nanofluidic memristors interface, which may be useful types computing in future.

Язык: Английский

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Advances in Liquid-Phase Assembly of Clusters into Single-Walled Carbon Nanotubes

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер unknown

Опубликована: Сен. 17, 2024

Insight into the behaviors of molecules in confined space is highly desired for deep understanding mechanism chemical reactions a microenvironment. Yet direct access molecular evolutions at atomic resolution nanoconfinements still challenging. Among various guests, atomically precise clusters with well-defined structures are better suited monitoring and physical processes nanochannels because their visibility under electron microscopy identical that ensure homogeneous interactions. Developing an efficient method assembling essential advancing mechanisms these processes. In this Perspective, we provide overview assembly single-walled carbon nanotubes (SWCNTs) liquid phase. We begin introduction methodologies, followed by discussion liquids. The host-guest interactions between revealed transmission unveiled, cluster@SWCNT heterostructure-based emerging applications highlighted. At end, discuss challenges opportunities expound our outlook field.

Язык: Английский

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Asymmetric ion transport through heterogeneous bilayers of covalent organic frameworks

NPG Asia Materials, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 10, 2025

Abstract In recent years, with the development of interfacial polymerization methodologies, successful preparation covalent organic framework (COF) monolayers featuring ultrahigh pore density and molecule-scale thickness has become a reality. This advancement enabled ion transport flux across extremely short paths. Owing to these processes, COF have shown wide potential applications ranging from energy conversion artificial mechanosensing sieving. To date, nanofluidic systems based on are homogeneous, leading nearly symmetric properties. Studies ionic behavior within ultrathin heterojunctions limited remain challenging. Herein, using two-step sequential self-assembly subsequent strategy, bi-layered heterogeneous tetraphenylporphyrin-based membranes composed negatively charged positively were prepared. Using an electric field as driving force, rectified was observed for first time. Notably, this current rectification property could be modulated by salt concentration structural composition membrane, it universal various different chemical ingredients. These findings beneficial promoting innovative materials devices.

Язык: Английский

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Dual Ionic Signal Detection: Modulation of Surface Charge of Nanofluidic Iontronics by Dual-Split Gate Voltages

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Nanofluidic iontronics, including the field-effect ionic diode (FE-ID) and transistor (FE-IT), represent emerging nanofluidic logic devices that have been employed in sensitive analyses. Making analyte recognitions predefined has verified to improve sensitivity selectivity using a single signal, such as current amplification, rectification, Coulomb blockade. However, detection of analytes complex systems generally necessitates more diverse signals beyond just currents. Here, we demonstrated dual signals, steady switching ratio, transient response time (ts) act modulated by dual-split gate voltages along nanochannel for charged analytes. With an increase voltage, ratio decreases both FE-ID FE-IT, whereas exhibits exponential specifically FE-ID. Moreover, shows no significant correlation with external transmembrane voltage FE-IT. These results contribute optimization reconfigurable iontronics through modulation, providing theoretical foundation multiple signal detection.

Язык: Английский

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Mechano‐Driven Neuromimetic Logic Gates Established by Geometrically Asymmetric Hydrogel Iontronics

Small, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

The human brain's neural network demonstrates exceptional efficiency in information processing and recognition, driving advancements neuromimetic devices that emulate neuronal functions such as signal integration parallel transmission. A key challenge remains replicating these while minimizing energy consumption. Here, inspired by axonal bidirectional transmission, mechano-driven hydrogel logic gates leveraging the piezoionic effect is presented, offering a novel bionic approach with significantly reduced power By exerting external force on thick thin sides of geometrically asymmetric hydrogel, spike signals differing amplitudes opposite polarities can be generated, corresponding to '1' '0', respectively. differential mobility anions cations plays crucial role effect. This geometric asymmetry amplifies ion convection, improving force-to-electricity conversion efficiency, inclusion salts varying size further enhance this disparity, even reversing direction. Arranging iontronics series-parallel configurations enables emulation complex operations, facilitating ionic addition subtraction. hydrogel-based control has been directly applied human-machine interaction robot arms offers significant potential for advancement artificial intelligence, robotics, wearable technologies.

Язык: Английский

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Carbon-based iontronics – current state and future perspectives

Chemical Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Carbon-based iontronics is an emerging field. Various nanostructured carbon materials enable bio-inspired information sensing, processing, and actuation by mimicking bioelectric signals bioactive ion interactions.

Язык: Английский

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