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Natural light harvesting is exceptionally efficient thanks to the local energy funnel created within light-harvesting complexes (LHCs). To understand the design principles underlying energy transport in LHCs, ultrafast spectroscopy is often complemented by mutational studies that introduce perturbations into the excitonic structure of the natural complexes. However, such studies may fall short of identifying all excitation energy transfer (EET) pathways and their changes upon mutation. Here, we show that a synergistic combination of first-principles calculations and ultrafast spectroscopy can give unprecedented insight into the EET pathways occurring within LHCs. We measured the transient absorption spectra of the minor CP29 complex of plants and of two mutants, systematically mapping the kinetic components seen in experiments to the simulated exciton dynamics. With our combined strategy, we show that EET in CP29 is surprisingly robust to the changes in the exciton states induced by mutations, explaining the versatility of plant LHCs.
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http://dx.doi.org/10.1021/acs.jpclett.4c01040 | DOI Listing |
Plant Cell Physiol
September 2025
Biostructural Mechanism Laboratory, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo, Hyogo 679-5148, Japan.
Phycobilisome (PBS) is a water-soluble light-harvesting supercomplex found in cyanobacteria, glaucophytes, and rhodophytes. PBS interacts with photosynthetic reaction centers, specifically photosystems II and I (PSII and PSI), embedded in the thylakoid membrane. It is widely accepted that PBS predominantly associates with PSII, which functions as the initial complex in the linear electron transport chain.
View Article and Find Full Text PDFJ Colloid Interface Sci
September 2025
Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science & Engineering, Hubei University, Wuhan 430062, PR China. Electronic address:
Effective removal of ethylene (CH) during fruit and vegetables storage and transport remains a critical challenge for post-harvest preservation. Although S-scheme heterojunctions can improve charge separation and redox capacity for ethylene degradation, their efficiency is still restricted by limited carrier transfer and sluggish oxygen activation. Here, we rationally designed a novel 2D/2D SnNbO/BiMoO monolayer S-scheme heterojunction integrated with Pt co-catalyst to address these limitations.
View Article and Find Full Text PDFJ Phys Chem B
September 2025
Key Laboratory of Advanced Light Conversion Materials and Biophotonics, School of Chemistry and Life Resources, Renmin University of China, Beijing 100872, China.
Light-harvesting complex IIs (LHCIIs) are the major antenna in higher plants, balancing light capture through photoprotection. While it naturally forms trimers, stress conditions can induce monomerization, altering pigment interactions. Here, we explored how molecular oxygen affects triplet excited-state dynamics in LHCII monomers using time-resolved transient absorption spectroscopy under aerobic and anaerobic conditions.
View Article and Find Full Text PDFFront Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.
Front Plant Sci
August 2025
College of Engineering, South China Agricultural University, Guangdong, China.
Reliable detection and spatial localization of banana bunches are essential prerequisites for the development of autonomous harvesting technologies. Current methods face challenges in achieving high detection accuracy and efficient deployment due to their structural complexity and significant computational demands. This study proposes YOLO-BRFB, a lightweight and precise system designed for detection and 3D localization of bananas in orchard environments.
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