Issue 23, 2023

Driving electrochemical reactions at the microscale using CMOS microelectrode arrays

Abstract

Precise control of pH values at electrode interfaces enables the systematic investigation of pH-dependent processes by electrochemical means. In this work, we employed high-density complementary metal-oxide-semiconductor (CMOS) microelectrode arrays (MEAs) as miniaturized systems to induce and confine electrochemical reactions in areas corresponding to the pitch of single electrodes (17.5 μm). First, we present a strategy for generating localized pH patterns on the surface of the CMOS MEA with unprecedented spatial resolution. Leveraging the versatile routing capabilities of the switch matrix beneath the CMOS MEA, we created arbitrary combinations of anodic and cathodic electrodes and hence pH patterns. Moreover, we utilized the system to produce polymeric surface patterns by additive and subtractive methods. For additive patterning, we controlled the in situ formation of polydopamine at the microelectrode surface through oxidation of free dopamine above a threshold pH > 8.5. For subtractive patterning, we removed cell-adhesive poly-L-lysine from the electrode surface and backfilled the voids with antifouling polymers. Such polymers were chosen to provide a proof-of-concept application of controlling neuronal growth via electrochemically-induced patterns on the CMOS MEA surface. Importantly, our platform is compatible with commercially available high-density MEAs and requires no custom equipment, rendering the findings generalizable and accessible.

Graphical abstract: Driving electrochemical reactions at the microscale using CMOS microelectrode arrays

Supplementary files

Article information

Article type
Paper
Submitted
21 Jul 2023
Accepted
25 Oct 2023
First published
31 Oct 2023
This article is Open Access
Creative Commons BY license

Lab Chip, 2023,23, 5047-5058

Driving electrochemical reactions at the microscale using CMOS microelectrode arrays

J. Duru, A. Rüfenacht, J. Löhle, M. Pozzi, C. Forró, L. Ledermann, A. Bernardi, M. Matter, A. Renia, B. Simona, C. M. Tringides, S. Bernhard, S. J. Ihle, J. Hengsteler, B. Maurer, X. Zhang and N. Nakatsuka, Lab Chip, 2023, 23, 5047 DOI: 10.1039/D3LC00630A

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