• 文献标题:   High-Performance Graphene-Fiber-Based Neural Recording Microelectrodes
  • 文献类型:   Article
  • 作  者:   WANG KZ, FREWIN CL, ESRAFILZADEH D, YU CC, WANG CY, PANCRAZIO JJ, ROMEROORTEGA M, JALILI R, WALLACE G
  • 作者关键词:   brainmachine interface, graphene fiber, neural interface, neural stimulation recording, soft neural microelectrode
  • 出版物名称:   ADVANCED MATERIALS
  • ISSN:   0935-9648 EI 1521-4095
  • 通讯作者地址:   Univ Wollongong
  • 被引频次:   25
  • DOI:   10.1002/adma.201805867
  • 出版年:   2019

▎ 摘  要

Fabrication of flexible and free-standing graphene-fiber- (GF-) based microelectrode arrays with a thin platinum coating, acting as a current collector, results in a structure with low impedance, high surface area, and excellent electrochemical properties. This modification results in a strong synergistic effect between these two constituents leading to a robust and superior hybrid material with better performance than either graphene electrodes or Pt electrodes. The low impedance and porous structure of the GF results in an unrivalled charge injection capacity of 10.34 mC cm(-2) with the ability to record and detect neuronal activity. Furthermore, the thin Pt layer transfers the collected signals along the microelectrode efficiently. In vivo studies show that microelectrodes implanted in the rat cerebral cortex can detect neuronal activity with remarkably high signal-to-noise ratio (SNR) of 9.2 dB in an area as small as an individual neuron.