Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K

Energy equilibration in light-harvesting antenna systems normally occurs before energy is transferred to a reaction center. The equilibration mechanism is a characteristic of the excitation energy transfer (EET) network of the antenna. Characterizing this network is crucial in understanding the firs...

Full description

Saved in:
Bibliographic Details
Main Authors: Do, Thanh Nhut, Huerta-Viga, Adriana, Akhtar, Parveen, Nguyen, Hoang Long, Nowakowski, Paweł J., Muhammad Faisal Khyasudeen, Lambrev, Petar H., Tan, Howe-Siang
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143165
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-143165
record_format dspace
spelling sg-ntu-dr.10356-1431652023-02-28T19:26:27Z Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K Do, Thanh Nhut Huerta-Viga, Adriana Akhtar, Parveen Nguyen, Hoang Long Nowakowski, Paweł J. Muhammad Faisal Khyasudeen Lambrev, Petar H. Tan, Howe-Siang School of Physical and Mathematical Sciences Science::Chemistry Spectral Linewidths Photosynthesis Energy equilibration in light-harvesting antenna systems normally occurs before energy is transferred to a reaction center. The equilibration mechanism is a characteristic of the excitation energy transfer (EET) network of the antenna. Characterizing this network is crucial in understanding the first step of photosynthesis. We present our phenomenology-based analysis procedure and results in obtaining the excitonic energy levels, spectral linewidths, and transfer-rate matrix of Light-Harvesting Complex II directly from its 2D electronic spectra recorded at 77 K with waiting times between 100 fs to 100 ps. Due to the restriction of the models and complexity of the system, a unique EET network cannot be constructed. Nevertheless, a recurring pattern of energy transfer with very similar overall time scales between spectral components (excitons) is consistently obtained. The models identify a "bottleneck" state in the 664-668 nm region although with a relatively shorter lifetime (∼4-6 ps) of this state compared to previous studies. The model also determines three terminal exciton states at 675, 677-678, and 680-681 nm that are weakly coupled to each other. The excitation energy equilibration between the three termini is found to be independent of the initial excitation conditions, which is a crucial design for the light-harvesting complexes to ensure the energy flow under different light conditions and avoid excitation trapping. We proposed two EET schemes with tentative pigment assignments based on the interpretation of the modeling results together with previous structure-based calculations and spectroscopic observables. Published version The authors acknowledge support from the Hungarian Ministry of Innovation and Technology, National Research, Development and Innovation Office (Grant Nos. NN-124904 and 2018-1.2.1-NKP-2018-00009 to P.H.L.) and the Singapore Ministry of Education, Academic Research Fund (Tier 2 Grant No. MOE2015-T2-1-039 and Tier 1 Grant No. RG15/18 to H.-S.T.). The ELI-ALPS Project (No. GINOP-2.3.6-15-2015-00001) is supported by the European Union and co-financed by the European Regional Development Fund. 2020-08-07T02:13:59Z 2020-08-07T02:13:59Z 2019 Journal Article Do, T. N., Huerta-Viga, A., Akhtar, P., Nguyen, H. L., Nowakowski, P. J., Khyasudeen, M. F., . . . Tan, H.-S. (2019). Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K. The Journal of Chemical Physics, 151(20), 205101-. doi:10.1063/1.5125744 ‎0021-9606 https://hdl.handle.net/10356/143165 10.1063/1.5125744 31779337 2-s2.0-85075777465 20 151 en The Journal of Chemical Physics © 2019 Author(s). All rights reserved. This paper was published by AIP Publishing in The Journal of Chemical Physics and is made available with permission of Author(s). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Chemistry
Spectral Linewidths
Photosynthesis
spellingShingle Science::Chemistry
Spectral Linewidths
Photosynthesis
Do, Thanh Nhut
Huerta-Viga, Adriana
Akhtar, Parveen
Nguyen, Hoang Long
Nowakowski, Paweł J.
Muhammad Faisal Khyasudeen
Lambrev, Petar H.
Tan, Howe-Siang
Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
description Energy equilibration in light-harvesting antenna systems normally occurs before energy is transferred to a reaction center. The equilibration mechanism is a characteristic of the excitation energy transfer (EET) network of the antenna. Characterizing this network is crucial in understanding the first step of photosynthesis. We present our phenomenology-based analysis procedure and results in obtaining the excitonic energy levels, spectral linewidths, and transfer-rate matrix of Light-Harvesting Complex II directly from its 2D electronic spectra recorded at 77 K with waiting times between 100 fs to 100 ps. Due to the restriction of the models and complexity of the system, a unique EET network cannot be constructed. Nevertheless, a recurring pattern of energy transfer with very similar overall time scales between spectral components (excitons) is consistently obtained. The models identify a "bottleneck" state in the 664-668 nm region although with a relatively shorter lifetime (∼4-6 ps) of this state compared to previous studies. The model also determines three terminal exciton states at 675, 677-678, and 680-681 nm that are weakly coupled to each other. The excitation energy equilibration between the three termini is found to be independent of the initial excitation conditions, which is a crucial design for the light-harvesting complexes to ensure the energy flow under different light conditions and avoid excitation trapping. We proposed two EET schemes with tentative pigment assignments based on the interpretation of the modeling results together with previous structure-based calculations and spectroscopic observables.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Do, Thanh Nhut
Huerta-Viga, Adriana
Akhtar, Parveen
Nguyen, Hoang Long
Nowakowski, Paweł J.
Muhammad Faisal Khyasudeen
Lambrev, Petar H.
Tan, Howe-Siang
format Article
author Do, Thanh Nhut
Huerta-Viga, Adriana
Akhtar, Parveen
Nguyen, Hoang Long
Nowakowski, Paweł J.
Muhammad Faisal Khyasudeen
Lambrev, Petar H.
Tan, Howe-Siang
author_sort Do, Thanh Nhut
title Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
title_short Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
title_full Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
title_fullStr Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
title_full_unstemmed Revealing the excitation energy transfer network of Light-Harvesting Complex II by a phenomenological analysis of two-dimensional electronic spectra at 77 K
title_sort revealing the excitation energy transfer network of light-harvesting complex ii by a phenomenological analysis of two-dimensional electronic spectra at 77 k
publishDate 2020
url https://hdl.handle.net/10356/143165
_version_ 1759854131156090880