Flexible silk-fibroin-based microelectrode arrays for high-resolution neural recording

微电极 丝素 材料科学 纳米技术 神经活动 高分辨率 多电极阵列 生物医学工程 神经科学 丝绸 化学 生物 医学 电极 遥感 复合材料 物理化学 地质学
作者
Jie Ding,Mingze Zeng,Yuan Tian,Zhihong Chen,Zi Qiao,Zhanwen Xiao,Chengheng Wu,Dan Wei,Jing Sun,Hongsong Fan
出处
期刊:Materials horizons [Royal Society of Chemistry]
卷期号:11 (18): 4338-4347 被引量:7
标识
DOI:10.1039/d4mh00438h
摘要

High-precision neural recording plays a pivotal role in unraveling the intricate mechanisms that underlie information transmission of the nervous system, raising increasing interest in the development of implantable microelectrode arrays (MEAs). The challenge lies in providing a truly soft, highly conductive and low-impedance neural interface for precise recording of the electrophysiological signals of individual neurons or neural networks. Herein, by implementing a novel topological regulation strategy of silk fibroin (SF) crosslinking, we prepared a flexible, hydrophilic, and biocompatible MEA substrate, facilitating a biocompatible neural interface that minimizes mechanical mismatch with biological tissues. Additionally, we established a strategy involving screen-printing combined with post-coating to prepare MEAs with high conductivity, low impedance and high capacitance, by coating PEDOT:PSS on titanium carbide (Ti3C2) microarrays. The Ti3C2 nanosheets, as the conductive track of the MEAs, avoided the charge drifting associated with metals and facilitated the processing of the MEAs. Further coating PEDOT:PSS on the electrode points reduced the impedance 100-fold, from 105 to 103 Ω. Experimental validation confirmed the superior electrophysiological signal recording capabilities of the SF-based MEA (SMEA) in peripheral and cerebral nerves with a much higher signal-to-noise ratio (SNR) of 20. In particular, we achieved high-precision recording of the action potential (AP) induced by flash visual stimulation, demonstrating high performance in weak signal recording. In summary, the development of SMEA provides a robust foundation for future investigations into the mechanisms and principles of neural circuit information transmission in complex nervous systems.
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