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Electrophoretic Deposition of Platinum Nanoparticles using Ethanol-Water Mixtures Significantly Reduces Neural Electrode Impedance

Authors :
Vaijayanthi Ramesh
Brian Giera
John J. Karnes
Nadine Stratmann
Viktor Schaufler
Yao Li
Christoph Rehbock
Stephan Barcikowski
Source :
Journal of The Electrochemical Society. 169:022504
Publication Year :
2022
Publisher :
The Electrochemical Society, 2022.

Abstract

Platinum electrodes are critical components in many biomedical devices, an important example being implantable neural stimulation or recording electrodes. However, upon implantation, scar tissue forms around the electrode surface, causing unwanted deterioration of the electrical contact. We demonstrate that sub-monolayer coatings of platinum nanoparticles (PtNPs) applied to 3D neural electrodes by electrophoretic deposition (EPD) can enhance the electrode's active surface area and significantly lower its impedance. In this work we use ethanol-water mixtures as the EPD solvent, in contrast to our previous studies carried out in water. We show that EPD coating in 30 vol.% ethanol improves the device's electrochemical performance. Computational mesoscale multiparticle simulations were for the first time applied to PtNP-on-Pt EPD, revealing correlations between ethanol concentration, electrochemical properties, and coating homogeneity. Thereto, this optimum ethanol concentration (30 vol.%) balances two opposing trends: (i) the addition of ethanol reduces water splitting and gas bubble formation, which benefits surface coverage, and (ii) increased viscosity and reduced permittivity occur at high ethanol concentrations, which impair the coating quality and favoring clustering. A seven-fold increase in active surface area and significantly reduced in vitro impedance of the nano-modified neural stimulation electrode surfaces highlight the influence of ethanol-water mixtures in PtNP EPD.

Details

ISSN :
19457111 and 00134651
Volume :
169
Database :
OpenAIRE
Journal :
Journal of The Electrochemical Society
Accession number :
edsair.doi.dedup.....070c2ae837fcad6073692fa0aea6e753
Full Text :
https://doi.org/10.1149/1945-7111/ac51f8