Analyzing spectral distributions of charge transfer character in ensembles: a case study on the reaction center of photosystem II
Understanding the primary charge separation events in Nature's photosynthetic reaction centers is a key step toward harnessing the microscopic processes of light conversion into chemical energy. Despite intense research efforts employing state-of-the-art spectroscopic and theoretical techniques, the precise nature of energy transfer and charge separation events in these systems are still insufficiently understood. Herein, we present a computational approach that enables analysis of the charge transfer character in excited electronic states with inclusion of thermal effects in ensembles. We showcase an application of this approach to the reaction center of photosystem II, focusing on the Chl<sub>D1</sub>Pheo<sub>D1</sub> and P<sub>D1</sub>P<sub>D2</sub> pairs of pigments. We find that the Chl<sub>D1</sub>Pheo<sub>D1</sub> pair is a more likely candidate for the primary charge separation than the P<sub>D1</sub>P<sub>D2</sub> pair. Our computational approach is transferable to other biological and man-made charge separation and charge transfer systems.
Authors
- Sinjini Bhattacharjee (ORCID: https://orcid.org/0000-0001-5830-7425)
- Dimitrios A. Pantazis (ORCID: https://orcid.org/0000-0002-2146-9065)
- Adam Šrut (ORCID: https://orcid.org/0000-0002-4486-1940)
- Vera Krewald (ORCID: https://orcid.org/0000-0002-4749-4357)
Institutions
- Technische Universität Darmstadt (DE)
- Max-Planck-Institut für Kohlenforschung (DE)
Publication Details
- Journal
- Physical Chemistry Chemical Physics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5cp00317b
- Primary Topic
- Spectroscopy and Quantum Chemical Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- International Max Planck Research School for Environmental, Cellular and Molecular Microbiology
- Bundesministerium für Bildung und Forschung
- Max-Planck-Gesellschaft
- Technische Universität Darmstadt
- International Max Planck Research School for Advanced Methods in Process and Systems Engineering