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Electrocatalytic mechanism of reversible hydrogen cycling by enzymes and distinctions between the major classes of hydrogenases

Open access
Hexter, Suzannah V., Grey, Felix, Happe, Thomas, Climent, Victor, Armstrong, Fraser A.·2012·Proceedings of the National Academy of Sciences

Abstract

The extraordinary ability of Fe- and Ni-containing enzymes to catalyze rapid and efficient H + /H 2 interconversion—a property otherwise exclusive to platinum metals—has been investigated in a series of experiments combining variable-temperature protein film voltammetry with mathematical modeling. The results highlight important differences between the catalytic performance of [FeFe]-hydrogenases and [NiFe]-hydrogenases and justify a simple model for reversible catalytic electron flow in enzymes and electrocatalysts that should be widely applicable in fields as diverse as electrochemistry, catalysis, and bioenergetics. The active site of [FeFe]-hydrogenases, an intricate Fe-carbonyl complex known as the “H cluster,” emerges as a supreme catalyst.

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Metadata

Authors
Hexter, S. V., Grey, F., Happe, T., Climent, V., & Armstrong, F. A.
Venue
Proceedings of the National Academy of Sciences
Published
2012-07-12
Volume
109
Issue
29
Pages
11516-11521
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2151091298
Cited by
174
References
0
FWCI
4.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Electrocatalytic mechanism of reversible hydrogen cycling by enzymes and distinctions between the major classes of hydrogenases. https://app.cochat.ai/papers/10.1073/pnas.1204770109
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Hexter, S. V., Grey, F., Happe, T., Climent, V., & Armstrong, F. A. (2012). Electrocatalytic mechanism of reversible hydrogen cycling by enzymes and distinctions between the major classes of hydrogenases. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1204770109

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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.