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Cited by 279

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Electrochemical Reduction of Carbon Dioxide to Formic Acid

Lu, Xu, Leung, Dennis Y. C., Wang, Huizhi, Leung, Michael K. H., Xuan, Jin·2014·ChemElectroChem

Abstract

This Review provides an overview of electrochemical techniques that are implemented in addressing gaseous CO 2 towards the synthesis of a particular fuel (i.e. formic acid). The electrochemical reaction mechanism, as well as the advancement of electrodes, catalyst materials, and reactor designs are reviewed and discussed. To date, the electrolytic cell is the dominant reaction site and, based on which, various catalysts have been proposed and researched. In addition, relevant work regarding reactor design optimization for the purpose of alleviating restrictions of the current CO 2 electrochemical reduction system are summarized, including low reactant‐transfer rate, high reaction overpotential, and low product selectivity. The use of microfluidic techniques to build microscale electrochemical reactors is identified to be highly promising to largely increase the electrochemical performance. Finally, future challenges and opportunities of electrochemical reduction of CO 2 are discussed.

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Crossref · 10.1002/celc.201300206

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Metadata

Authors
Lu, X., Leung, D. Y. C., Wang, H., Leung, M. K. H., & Xuan, J.
Venue
ChemElectroChem
Publisher
Wiley
Published
2014-05-05
Volume
1
Issue
5
Pages
836-849
ISSN
2196-0216 (ISSN-L)
OpenAlex
W2135500272
Cited by
279
References
10
FWCI
6.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrochemical Reduction of Carbon Dioxide to Formic Acid. https://app.cochat.ai/papers/10.1002/celc.201300206
The paper
Lu, X., Leung, D. Y. C., Wang, H., Leung, M. K. H., & Xuan, J. (2014). Electrochemical Reduction of Carbon Dioxide to Formic Acid. ChemElectroChem. https://doi.org/10.1002/celc.201300206

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.