Literature DB >> 22320764

Correlated intermolecular coupling fluctuations in photosynthetic complexes.

Sebastiaan M Vlaming1, Robert J Silbey.   

Abstract

The functioning and efficiency of natural photosynthetic complexes is strongly influenced by their embedding in a noisy protein environment, which can even serve to enhance the transport efficiency. Interactions with the environment induce fluctuations of the transition energies and couplings between the chlorophyll molecules, and due to the fact that different fluctuations will partially be caused by the same environmental factors, correlations between the various fluctuations will occur. We argue that fluctuations of the couplings should, in general, not be neglected, as these have a considerable impact on population transfer rates, decoherence rates, and the efficiency of photosynthetic complexes. Furthermore, while correlations between transition energy fluctuations have been studied, we provide the first quantitative study of the effect of correlations between coupling fluctuations and transition energy fluctuations, and of correlations between the various coupling fluctuations. It is shown that these additional correlations typically lead to changes in interchromophore transfer rates and population oscillations and can lead to a limited enhancement of the light harvesting efficiency.

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Year:  2012        PMID: 22320764     DOI: 10.1063/1.3682988

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  4 in total

1.  On uncorrelated inter-monomer Förster energy transfer in Fenna-Matthews-Olson complexes.

Authors:  Adam Kell; Anton Yu Khmelnitskiy; Tonu Reinot; Ryszard Jankowiak
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

2.  On destabilization of the Fenna-Matthews-Olson complex of Chlorobaculum tepidum.

Authors:  Adam Kell; Khem Acharya; Robert E Blankenship; Ryszard Jankowiak
Journal:  Photosynth Res       Date:  2014-03-01       Impact factor: 3.573

3.  Normal mode analysis of the spectral density of the Fenna-Matthews-Olson light-harvesting protein: how the protein dissipates the excess energy of excitons.

Authors:  Thomas Renger; Alexander Klinger; Florian Steinecker; Marcel Schmidt am Busch; Jorge Numata; Frank Müh
Journal:  J Phys Chem B       Date:  2012-12-10       Impact factor: 2.991

4.  Machine learning exciton dynamics.

Authors:  Florian Häse; Stéphanie Valleau; Edward Pyzer-Knapp; Alán Aspuru-Guzik
Journal:  Chem Sci       Date:  2016-04-01       Impact factor: 9.825

  4 in total

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