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Cited by 202

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Water electrolysis and photoelectrolysis on electrodes engineered using biological and bio-inspired molecular systems

Tran, Phong D., Artero, Vincent, Fontecave, Marc·2010·Energy & Environmental Science

Abstract

Photoelectrocatalytic cells for water splitting should combine one or two photosensitive units with a water oxidation catalyst at the anode and a hydrogen evolution catalyst at the cathode. In this perspective article, we first show how a chemist can take the naturally occurring multi-electron catalysts for these two electro- and photochemical reactions, photosystem II and hydrogenases, as a source of inspiration for the design of original, efficient and robust molecular catalysts. The focus of this article is given to the immobilisation of these natural or bio-inspired catalysts onto conducting surfaces and the design of electrode and photoelectrode materials for hydrogen evolution/uptake and water oxidation.

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Crossref · 10.1039/b926749b

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Metadata

Authors
Tran, P. D., Artero, V., & Fontecave, M.
Venue
Energy & Environmental Science
Published
2010
Volume
3
Issue
6
Pages
727
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2075162308
Cited by
202
References
1
FWCI
11.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Water electrolysis and photoelectrolysis on electrodes engineered using biological and bio-inspired molecular systems. https://app.cochat.ai/papers/10.1039/b926749b
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Tran, P. D., Artero, V., & Fontecave, M. (2010). Water electrolysis and photoelectrolysis on electrodes engineered using biological and bio-inspired molecular systems. Energy & Environmental Science. https://doi.org/10.1039/b926749b

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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.