A High-Performance Electrode Based on van der Waals Heterostructure for Neural Recording

Nano Lett. 2022 Jun 8;22(11):4400-4409. doi: 10.1021/acs.nanolett.2c00848. Epub 2022 May 19.

Abstract

Neural electrodes have been widely used to monitor neurological disorders and have a major impact on neuroscience, whereas traditional electrodes are limited to their inherent high impedance, which makes them insensitive to weak signals during recording neural signals. Herein, we developed a neural electrode based on the graphene/Ag van der Waals heterostructure for improving the detection sensitivity and signal-to-noise ratio (SNR). The impedance of the graphene/Ag electrode is reduced to 161.4 ± 13.4 MΩ μm2, while the cathode charge-storage capacity (CSCc) reaches 24.2 ± 1.9 mC cm-2, which is 6.3 and 48.4 times higher than those of the commercial Ag electrodes, respectively. Density functional theory (DFT) results find that the Ag-graphene interface has more doped electronic states, providing faster electron transfer and enhanced interfacial transport. In vivo detection sensitivity and SNR of graphene/Ag electrodes are significantly improved. The current work provides a feasible solution for designing brain electrodes to monitor neural signals more sensitively and accurately.

Keywords: SNR; detection sensitivity; graphene; neural electrode; van der Waals heterostructure.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain
  • Electric Impedance
  • Electrodes
  • Graphite* / chemistry
  • Signal-To-Noise Ratio

Substances

  • Graphite