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Cited by 193

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Scanning electrochemical cell microscopy: A natural technique for single entity electrochemistry

Open access
Wahab, Oluwasegun J., Kang, Minkyung, Unwin, Patrick R.·2020·Current Opinion in Electrochemistry

Abstract

Scanning electrochemical cell microscopy (SECCM) is a robust and versatile scanning electrochemical probe microscopy technique that allows direct correlation of structure–activity at the nanoscale. SECCM uses a mobile droplet cell to investigate and visualize electrochemical activity at interfaces with high spatiotemporal resolution, while also providing topographical information. This article highlights diverse contemporary challenges in the field of single entity electrochemistry tackled by the increasing uptake of SECCM globally. Various applications of SECCM in single entity electrochemistry are featured herein, including electrocatalysis, electrodeposition, corrosion science and materials science, with electrode materials spanning particles, polymers, two-dimensional materials and complex polycrystalline substrates. The use of SECCM for patterning structures is also highlighted.

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Metadata

Authors
Wahab, O. J., Kang, M., & Unwin, P. R.
Venue
Current Opinion in Electrochemistry
Publisher
Elsevier BV
Published
2020-08
Volume
22
Pages
120-128
ISSN
2451-9103 (ISSN-L)
OpenAlex
W3027515340
Cited by
193
References
2
FWCI
3.57
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Scanning electrochemical cell microscopy: A natural technique for single entity electrochemistry. https://app.cochat.ai/papers/10.1016/j.coelec.2020.04.018
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Wahab, O. J., Kang, M., & Unwin, P. R. (2020). Scanning electrochemical cell microscopy: A natural technique for single entity electrochemistry. Current Opinion in Electrochemistry. https://doi.org/10.1016/j.coelec.2020.04.018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.