Issue 33, 2016

Newly reduced graphene oxide/gold oxide neural-chemical interface on multi-channel neural probes to enhance the electrochemical properties for biosensors

Abstract

In this study, a facile one-step Cyclic Voltammetry (CV) electrophoresis was proposed for designing a reduced graphene oxide/gold oxide (rGO/AuOx) modified electrode by using chloride ions (Cl) with the simultaneous occurrence of gold oxidation and GO reduction to induce the intimate attachment of negatively charged rGO sheets on the positively charged Au+/Au3+ clusters by electrostatic interaction. The surface microstructure and the oxygen functional groups of rGO/AuOx can be tuned by controlling the dissolution rate of gold via the deposition scan rate. At a low deposition scan rate, the rGO/AuOx electrode with well-dispersive rGO sheets and large active sites can induce rapid electron transfer to promote H2O2 detection. The amperometric response results displayed a relative fast response of less than 5 s with a low detection limit of 0.63 μM (S/N = 3). Also, the rGO/AuOx neural-chemical interface can be modified at the multi-channels on neural probe and they exhibited excellent sensing performance to H2O2. The results demonstrated that the rGO/AuOx modified electrode integrated with a neural probe using this one-step electrochemical deposition can provide a faster response and higher sensitivity by optimizing and controlling the surface microstructures of rGO/AuOx, which would serve as a platform for medical application such as biosensors for multi-sensing.

Graphical abstract: Newly reduced graphene oxide/gold oxide neural-chemical interface on multi-channel neural probes to enhance the electrochemical properties for biosensors

Article information

Article type
Paper
Submitted
12 Jan 2016
Accepted
06 Mar 2016
First published
08 Mar 2016

RSC Adv., 2016,6, 27614-27622

Author version available

Newly reduced graphene oxide/gold oxide neural-chemical interface on multi-channel neural probes to enhance the electrochemical properties for biosensors

T. Liu, C. Chu, Y. Chen and S. Chen, RSC Adv., 2016, 6, 27614 DOI: 10.1039/C6RA01016D

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