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The role of charge-transfer states in energy transfer and dissipation within natural and artificial bacteriochlorophyll proteins

Author

Listed:
  • Md. Wahadoszamen

    (Section of Biophysics, VU University Amsterdam
    University of Dhaka)

  • Iris Margalit

    (Weizmann Institute of Science
    Migal—Galilee Research Institute)

  • Anjue Mane Ara

    (Section of Biophysics, VU University Amsterdam
    Jagannath University)

  • Rienk van Grondelle

    (Section of Biophysics, VU University Amsterdam)

  • Dror Noy

    (Migal—Galilee Research Institute)

Abstract

Understanding how specific protein environments affect the mechanisms of non-radiative energy dissipation within densely assembled chlorophylls in photosynthetic protein complexes is of great interest to the construction of bioinspired solar energy conversion devices. Mixing of charge-transfer and excitonic states in excitonically interacting chlorophylls was implicated in shortening excited states’ lifetimes, but its relevance to active control of energy dissipation in natural systems is under considerable debate. Here we show that the degree of fluorescence quenching in two similar pairs of excitonically interacting bacteriochlorophyll derivatives is directly associated with increasing charge-transfer character in the excited state, and that the protein environment may control non-radiative dissipation by affecting the mixing of charge-transfer and excitonic states. The capability of local protein environments to determine the fate of excited states, and thereby to confer different functionalities to excitonically coupled dimers substantiates the dimer as the basic functional element of photosynthetic enzymes.

Suggested Citation

  • Md. Wahadoszamen & Iris Margalit & Anjue Mane Ara & Rienk van Grondelle & Dror Noy, 2014. "The role of charge-transfer states in energy transfer and dissipation within natural and artificial bacteriochlorophyll proteins," Nature Communications, Nature, vol. 5(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6287
    DOI: 10.1038/ncomms6287
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    Cited by:

    1. Yuanming Bai & Leslie Vogt-Maranto & Mark E. Tuckerman & William J. Glover, 2022. "Machine learning the Hohenberg-Kohn map for molecular excited states," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Marco Reinhard & Alessandro Gallo & Meiyuan Guo & Angel T. Garcia-Esparza & Elisa Biasin & Muhammad Qureshi & Alexander Britz & Kathryn Ledbetter & Kristjan Kunnus & Clemens Weninger & Tim Driel & Jos, 2023. "Ferricyanide photo-aquation pathway revealed by combined femtosecond Kβ main line and valence-to-core x-ray emission spectroscopy," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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