Journal
JOURNAL OF PHYSICAL CHEMISTRY B
Volume 125, Issue 37, Pages 10459-10470Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcb.1c04457
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Funding
- JSPS KAKENHI [20K05430, 21H01881]
- Grants-in-Aid for Scientific Research [21H01881, 20K05430] Funding Source: KAKEN
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This study theoretically investigates excited states of two types of bacteriochlorophyll aggregates in photosynthetic light-harvesting complexes, revealing that the spectral redshift of B800 is mainly due to electrostatic interaction while that of B850 is attributed to excitonic coupling. Additionally, interchromophore charge transfer plays a crucial role in the spectral redshift of B850.
Excited states of two kinds of bacteriochlorophyll (BChl) aggregates, B850 and B800, in photosynthetic light-harvesting complex II (LH2) are theoretically investigated by developing and using an extended exciton model considering efficiently evaluated excitonic coupling. Our exciton model based on dimer fragmentation is shown to reproduce the experimental absorption spectrum of LH2 with good accuracy, entailing their different redshifts originating from aggregations of B850 and B800. The systematic analysis has been performed on the spectra by quantitatively decomposing their spectral shift energies into the contributions of various effects: structural distortion, electrostatic, excitonic coupling, and charge-transfer (CT) effects. Our results show that the spectral redshift of B800 is mainly attributed to its electrostatic interaction with the protein environment, while that of B850 arises from the marked effect of the excitonic coupling between BChl units. The interchromophore CT excitation also plays a key role in the spectral redshift of B850. This CT effect can be effectively described using our dimer model. This suited characterization reveals that the pronounced CT effect originates from the characteristics of B850 that has closely spaced BChls as dimers. We highlight the importance of the refinement of the crystal structure with the use of quantum chemical methods for prediction of the spectrum.
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