Chemical and Biological Engineering ETDs
Publication Date
Summer 7-28-2026
Abstract
Photosynthetic light-harvesting complexes harvest solar energy and direct electronic excitations toward reaction centers with exceptional efficiency. This dissertation models the Fenna--Matthews--Olson complex of green sulfur bacteria, coupled to the PscA1 reaction center, as a chromophoric network. Forster resonance energy transfer theory, validated against numerically exact hierarchical equations of motion, was implemented in kinetic Monte Carlo simulations to resolve fine-grained excitation-transport pathways. The predicted charge-transfer efficiency of 77\% agrees with experiment, with the FMO2 monomer and its gateway pigment governing interfacial transfer. Systematic single, multi, and symmetry-preserving site removals, interpreted through Mobius inversion, identify critical pigments and show that cooperative effects are largely pairwise. A rigid-docking protocol adds candidate chromophores to assess whether transport can be enhanced; added pigments generally slow transfer, indicating that the native architecture is already highly optimized. These results suggest design principles for robust, efficient artificial light-harvesting systems.
Keywords
Chromophore Networks, Excitation Energy Transfer, Exciton Transport, Fenna–Matthews–Olson Complex, Förster Resonance Energy Transfer, Photosynthetic Light Harvesting
Document Type
Dissertation
Language
English
Degree Name
Chemical Engineering
Level of Degree
Doctoral
Department Name
Chemical and Biological Engineering
First Committee Member (Chair)
William P. Bricker
Second Committee Member
Dimiter N. Petsev
Third Committee Member
Oleg V. Prezhdo
Third Advisor
Andrew P. Shreve
Recommended Citation
Armijo, Zane E.. "Multiscale Network Modeling of Native and Modified Photosynthetic Light-Harvesting Complexes." (2026). https://digitalrepository.unm.edu/cbe_etds/138
Included in
Biochemical and Biomolecular Engineering Commons, Biological and Chemical Physics Commons, Quantum Physics Commons