Electropolymerization processing of side-chain engineered EDOT for high performance microelectrode arrays.
Electropolymerization
Extracellular recordings
Glycolated-PEDOT
Microelectrode array
Neuronal interfaces
Journal
Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289
Informations de publication
Date de publication:
01 Oct 2023
01 Oct 2023
Historique:
received:
24
03
2023
revised:
04
07
2023
accepted:
16
07
2023
medline:
14
8
2023
pubmed:
29
7
2023
entrez:
28
7
2023
Statut:
ppublish
Résumé
Microelectrode Arrays (MEAs) are popular tools for in vitro extracellular recording. They are often optimized by surface engineering to improve affinity with neurons and guarantee higher recording quality and stability. Recently, PEDOT:PSS has been used to coat microelectrodes due to its good biocompatibility and low impedance, which enhances neural coupling. Herein, we investigate on electro-co-polymerization of EDOT with its triglymated derivative to control valence between monomer units and hydrophilic functions on a conducting polymer. Molecular packing, cation complexation, dopant stoichiometry are governed by the glycolation degree of the electro-active coating of the microelectrodes. Optimal monomer ratio allows fine-tuning the material hydrophilicity and biocompatibility without compromising the electrochemical impedance of microelectrodes nor their stability while interfaced with a neural cell culture. After incubation, sensing readout on the modified electrodes shows higher performances with respect to unmodified electropolymerized PEDOT, with higher signal-to-noise ratio (SNR) and higher spike counts on the same neural culture. Reported SNR values are superior to that of state-of-the-art PEDOT microelectrodes and close to that of state-of-the-art 3D microelectrodes, with a reduced fabrication complexity. Thanks to this versatile technique and its impact on the surface chemistry of the microelectrode, we show that electro-co-polymerization trades with many-compound properties to easily gather them into single macromolecular structures. Applied on sensor arrays, it holds great potential for the customization of neurosensors to adapt to environmental boundaries and to optimize extracted sensing features.
Identifiants
pubmed: 37506488
pii: S0956-5663(23)00480-3
doi: 10.1016/j.bios.2023.115538
pii:
doi:
Substances chimiques
Polymers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115538Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Fabien Alibart reports financial support was provided by European Research Council.