Galvanic Bipolar Electrode Arrays with Self-Driven Optical Readouts

In this work, we report a bipolar electrode (BPE) array system with self-driven optical readouts of the faradic current flowing through the BPEs. The BPE array system is based on the spontaneous redox reactions that are respectively occurring at opposite poles of the BPEs with appropriate electrocatalysts on the poles; this system is analogous to one consisting of galvanic electrochemical cells. The galvanic BPE array system operates in a self-powered mode that requires there to be neither a direct electrical connection nor external electrical polarization to each BPE. Importantly, the appropriate electrocatalysts on the poles play a critical role in the galvanic BPE array system to induce the spontaneous redox reactions occurring at the poles of BPEs. Moreover, the galvanic BPE array system provides self-driven optical readouts, including fluorometric and colorimetric ones, to report the faradaic current resulting from the spontaneous redox reactions on the BPE poles. Based on the unique benefits that the galvanic BPE array system has over conventional BPEs, we demonstrated the promising potential of galvanic BPE arrays for the simple yet rapid and quantitative screening of electrocatalysts for the oxygen reduction reaction as well as sensitive sensing of H2O2 in parallel.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

ACS sensors - 8(2023), 11 vom: 24. Nov., Seite 4374-4383

Sprache:

Englisch

Beteiligte Personen:

Lee, Hyein [VerfasserIn]
Kim, Jiwoo [VerfasserIn]
Hwang, Misol [VerfasserIn]
Kim, Joohoon [VerfasserIn]

Links:

Volltext

Themen:

BBX060AN9V
Bipolar electrode
Colorimetric readout
Electrocatalyst screening
Fluorometric readout
Galvanic bipolar electrode array
H2O2 sensing
Hydrogen Peroxide
Journal Article
Research Support, Non-U.S. Gov't
Self-powered sensor

Anmerkungen:

Date Completed 27.11.2023

Date Revised 05.12.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/acssensors.3c01807

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363500324