OPTIMIZING PLANT PHOTOCHEMICAL ENERGY HARVEST WITH F.MOSSEAE: A BESSEL-GAUSSIAN MODEL FOR NANO-SCALE BIO-INSPIRED TECHNOLOGIES

Abstract

Photochemical energy harvesting plays a crucial role in sustainable energy solutions. Understanding natural processes, such as the symbiotic relationship between F. mosseae and plants, offers insights for bio-inspired technologies. This study presents a novel approach to optimize photochemical energy harvesting in the symbiotic relationship between Funneliformis mosseae (F. mosseae) and plant systems. The model simulates the spatial dynamics of light absorption and energy transfer processes in plant tissues, revealing a significant enhancement of 37.8% in energy harvesting efficiency in the symbiosis scenario. By applying a Bessel-Gaussian function model-defined by its ability to describe complex wave-like phenomena—we significantly enhance nano-scale energy conversion efficiency. Our model integrates quantum yield, light intensity, and exponential decay to simulate light capture and energy transfer, achieving a Gaussian absorption peak spectrum at 550 nm and an optimized energy harvest of 17.57eV. The results show excellent agreement with experimental values, validating the model's accuracy. The study highlights the importance of the Gaussian profile centered at 500 nm, corresponding to the optimal absorption wavelength of chlorophyll, and demonstrates the sensitivity of energy harvesting to various parameters. This research has significant implications for the development of nano-scale bio-inspired technologies, offering insights into the optimization of light-to-energy conversion processes. The Bessel-Gaussian model provides a valuable tool for understanding and enhancing plant photochemical energy harvesting, paving the way for innovative applications in renewable energy, biotechnology, and materials science.