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Published on: February 20, 2020
Water oxidation in photosystem II
Wolfgang Lubitz1, Maria Chrysina2, Nicholas Cox3
1Max-Planck-Institut für Chemische Energiekonversion, Mülheim/Ruhr, Germany. wolfgang.lubitz@cec.mpg.de.
Researchers used magnetic resonance and quantum calculations to study the electronic structure of the manganese-calcium cluster in photosystem II. This work advances understanding of biological water oxidation and artificial water-splitting catalysts.
Area of Science:
- Biochemistry
- Biophysics
- Catalysis
Background:
- Biological water oxidation by photosystem II is key to photosynthesis and artificial water-splitting.
- The tetra-manganese calcium (Mn4OCa) cluster is the catalytic core, and its electronic properties are crucial for activity.
- Understanding the Mn4OCa cluster's redox states, manganese valence/spin states, and ion interactions is essential.
Purpose of the Study:
- To review the role of magnetic resonance techniques, particularly EPR, in elucidating the electronic structure of the Mn4OCa cofactor.
- To highlight how these methods, combined with quantum chemical calculations and isotope labeling, aid in understanding substrate water binding.
- To contextualize these findings within the broader field of biological water oxidation and artificial catalyst development.
Main Methods:
- Electron Paramagnetic Resonance (EPR) spectroscopy.
- Quantum chemical calculations.
- Isotope labeling.
- Time-resolved X-ray diffraction using free electron lasers.
Main Results:
- Magnetic resonance and computational methods have significantly advanced the understanding of the Mn4OCa cluster's electronic structure.
- Isotope labeling and EPR have been crucial in determining how substrate water molecules bind to the cluster.
- Recent X-ray diffraction studies provide dynamic insights into the water oxidation cycle.
Conclusions:
- The electronic properties of the Mn4OCa cluster are finely tuned by the protein environment.
- A comprehensive model of the biological water oxidation cycle is being developed using integrated spectroscopic and computational data.
- This research informs the design of efficient artificial water-splitting catalysts.
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