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Towards artificial photosynthesis: ruthenium–manganese chemistry for energy production

Sun, Licheng, Hammarström, Leif, Åkermark, Björn, Styring, Stenbjörn·2001·Chemical Society Reviews

Abstract

The synthesis and characterisation of supramolecular model systems mimicking the light reactions on the donor side of Photosystem II (PSII) in green plants have been reviewed. In these systems, manganese complexes and tyrosine are electron donors, modelling the manganese cluster and tyrosineZ in PSII. The donors have been covalently linked to a photosensitizer, a ruthenium(II) tris-bipyridyl complex, that plays the role of the P680 chlorophylls in PSII. It has been demonstrated that, in the presence of an external electron acceptor in solution, the model systems can undergo an intermolecular electron transfer from the photoexcited state of RuII to an acceptor, followed by an intramolecular electron transfer from the coordinated Mn complexes or the tyrosine unit to the photogenerated RuIII. This leads to regeneration of the RuII and oxidation of the Mn complexes or generation of a tyrosine radical. The process closely mimics the primary reaction steps on the donor side of PSII.

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Metadata

Authors
Sun, L., Hammarström, L., Åkermark, B., & Styring, S.
Venue
Chemical Society Reviews
Published
2001
Volume
30
Issue
1
Pages
36-49
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2135960212
Cited by
536
References
0
FWCI
8.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards artificial photosynthesis: ruthenium–manganese chemistry for energy production. https://app.cochat.ai/papers/10.1039/a801490f
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Sun, L., Hammarström, L., Åkermark, B., & Styring, S. (2001). Towards artificial photosynthesis: ruthenium–manganese chemistry for energy production. Chemical Society Reviews. https://doi.org/10.1039/a801490f

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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.