ArticleBiosensors & bioelectronics2024
Array-wide uniform PEDOT:PSS electroplating from potentiostatic deposition.
Article in Biosensors & bioelectronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- PEDOT: PSS for Implantable and Wearable Bioelectronics: From Material Engineering and Energy Storage to Clinical Translation.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Highly mechanically stable PEDOT:PSS/PDA-modified microelectrode arrays reveal state-specific dynamic neural activity across sleep-wake.Microsystems & nanoengineering · 2026Article
- Scaling beyond the vagus nerve: historical and contemporary progress on electrode-based small-diameter peripheral nerve interfaces.Bioelectronic medicine · 2026Review
- Monolithic three-dimensional neural probes from deterministic rolling of soft electronics.Nature electronics · 2025Article
- Flexible electronic-photonic 3D integration from ultrathin polymer chiplets.Npj flexible electronics · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Electroplating of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is important in many neuroelectronic applications but is challenging to achieve uniformity on large-scale microelectrode arrays (MEA) using conventional galvanostatic methods. In this study, we address this challenge through a potentiostatic method and demonstrate highly uniform electroplating of PEDOT:PSS on MEA with more than one hundred electrodes, all at cellular sizes. The validation of this approach involves comparisons with galvanostatic deposition methods, showcasing unparalleled deposition yield and uniformity. Systematic electrochemical characterizations reveal similarities in structure and stability from potentiostatic deposited coatings. The advances developed here establish the potentiostatic method and detailed process to achieve a uniform coating of PEDOT:PSS on large-scale MEA, with broad utility in neuroelectronics.
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Registered trials
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