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  4. Surface modification of multilayer graphene electrodes by local printing of platinum nanoparticles using spark ablation for neural interfacing
 
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January 2024
Journal Article
Title

Surface modification of multilayer graphene electrodes by local printing of platinum nanoparticles using spark ablation for neural interfacing

Abstract
In this paper, we present the surface modification of multilayer graphene electrodes with platinum (Pt) nanoparticles (NPs) using spark ablation. This method yields an individually selective local printing of NPs on an electrode surface at room temperature in a dry process. NP printing is performed as a post-process step to enhance the electrochemical characteristics of graphene electrodes. The NP-printed electrode shows significant improvements in impedance, charge storage capacity (CSC), and charge injection capacity (CIC), versus the equivalent electrodes without NPs. Specifically, electrodes with 40% NP surface density demonstrate 4.5 times lower impedance, 15 times higher CSC, and 4 times better CIC. Electrochemical stability, assessed via continuous cyclic voltammetry (CV) and voltage transient (VT) tests, indicated minimal deviations from the initial performance, while mechanical stability, assessed via ultrasonic vibration, is also improved after the NP printing. Importantly, NP surface densities up to 40% maintain the electrode optical transparency required for compatibility with optical imaging and optogenetics. These results demonstrate selective NP deposition and local modification of electrochemical properties in graphene electrodes for the first time, enabling the cohabitation of graphene electrodes with different electrochemical and optical characteristics on the same substrate for neural interfacing.
Author(s)
Bakhshaee Babaroud, Nasim
Rice, Samantha J.
Perez, Maria Camarena
Serdijn, Wouter A.
Vollebregt, Sten
Giagka, Vasiliki  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Journal
Nanoscale  
Open Access
DOI
10.1039/D3NR05523J
Additional link
Full text
Language
English
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
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