Literature DB >> 26651736

Energy transfer efficiency in the chromophore network strongly coupled to a vibrational mode.

Lev G Mourokh1,2, Franco Nori3,4.   

Abstract

Using methods from condensed matter and statistical physics, we examine the transport of excitons through the photosynthetic complex from a receiving antenna to a reaction center. Writing the equations of motion for the exciton creation-annihilation operators, we are able to describe the exciton dynamics, even in the regime when the reorganization energy is of the order of the intrasystem couplings. We determine the exciton transfer efficiency in the presence of a quenching field and protein environment. While the majority of the protein vibrational modes are treated as a heat bath, we address the situation when specific modes are strongly coupled to excitons and examine the effects of these modes on the energy transfer efficiency in the steady-state regime. Using the structural parameters of the Fenna-Matthews-Olson complex, we find that, for vibrational frequencies below 16 meV, the exciton transfer is drastically suppressed. We attribute this effect to the formation of a "mixed exciton-vibrational mode" where the exciton is transferred back and forth between the two pigments with the absorption or emission of vibrational quanta, instead of proceeding to the reaction center. The same effect suppresses the quantum beating at the vibrational frequency of 25 meV. We also show that the efficiency of the energy transfer can be enhanced when the vibrational mode strongly couples to the third pigment only, instead of coupling to the entire system.

Year:  2015        PMID: 26651736     DOI: 10.1103/PhysRevE.92.052720

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Plasmonic bio-sensing for the Fenna-Matthews-Olson complex.

Authors:  Guang-Yin Chen; Neill Lambert; Yen-An Shih; Meng-Han Liu; Yueh-Nan Chen; Franco Nori
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

2.  Quantifying Quantum-Mechanical Processes.

Authors:  Jen-Hsiang Hsieh; Shih-Hsuan Chen; Che-Ming Li
Journal:  Sci Rep       Date:  2017-10-19       Impact factor: 4.379

  2 in total

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