High-Performance Graphene-Fiber-Based Neural Recording Microelectrodes

Authors

Kezhong Wang, University of WollongongFollow
Christopher Frewin, University of Texas
Dorna Esrafilzadeh, University of New South WalesFollow
Changchun Yu, University of WollongongFollow
Caiyun Wang, University of WollongongFollow
Joseph Pancrazio, University of Texas
Mario I. Romero-Ortega, University of Texas
Rouhollah Jalili, University of WollongongFollow
Gordon G. Wallace, University of New South WalesFollow

RIS ID

133867

Publication Details

Wang, K., Frewin, C. L., Esrafilzadeh, D., Yu, C., Wang, C., Pancrazio, J. J., Romero-Ortega, M., Jalili, R. & Wallace, G. (2019). High-Performance Graphene-Fiber-Based Neural Recording Microelectrodes. Advanced Materials, 31 (15), 1805867-1-1805867-10.

Abstract

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.

Grant Number

ARC/CE140100012