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Distortion-free sensing of neural activity using graphene transistors

Authors :
Christoph Jeschke
Jose Manuel de la Cruz
Rosa Villa
Gerrit Schwesig
Javier Martínez-Aguilar
Eduard Masvidal-Codina
Nathan Schäfer
Anton Guimerà
Anton Sirota
Jose A. Garrido
Xavi Illa
Ramon Garcia-Cortadella
Maria V. Sanchez-Vives
Source :
Recercat: Dipósit de la Recerca de Catalunya, Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya), Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Recercat. Dipósit de la Recerca de Catalunya, instname, Small
Publication Year :
2021

Abstract

Graphene solution-gated field-effect transistors (g-SGFETs) are promising sensing devices to transduce electrochemical potential signals in an electrolyte bath. However, distortion mechanisms in g-SGFET, which can affect signals of large amplitude or high frequency, have not been evaluated. Here, a detailed characterization and modeling of the harmonic distortion and non-ideal frequency response in g-SGFETs is presented. This accurate description of the input-output relation of the g-SGFETs allows to define the voltage- and frequency-dependent transfer functions, which can be used to correct distortions in the transduced signals. The effect of signal distortion and its subsequent calibration are shown for different types of electrophysiological signals, spanning from large amplitude and low frequency cortical spreading depression events to low amplitude and high frequency action potentials. The thorough description of the distortion mechanisms presented in this article demonstrates that g-SGFETs can be used as distortion-free signal transducers not only for neural sensing, but also for a broader range of applications in which g-SGFET sensors are used.

Details

Database :
OpenAIRE
Journal :
Recercat: Dipósit de la Recerca de Catalunya, Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya), Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Recercat. Dipósit de la Recerca de Catalunya, instname, Small
Accession number :
edsair.doi.dedup.....953ab57bb584912e9811da83d5450830