Innovative Agrochemical Models of Photosynthesis Driven by Foliar Nutrient Applications
- Publicado
- Servidor
- Preprints.org
- DOI
- 10.20944/preprints202507.1285.v1
Plants produce glucose through a well-defined agrochemical process that uses carbon dioxide and water as inputs. This reaction occurs autonomously in the leaves, powered by solar energy and catalyzed by the chlorophyll pigment. Recent advancements in foliar nutrition have introduced groundbreaking changes to this mechanism by directly influencing its core biochemical pathways. The aim of this study was to refine theoretical models describing the balance between photosynthesis and respiration. A comprehensive eco-physiological experiment was conducted at the University of Debrecen between 2020 and 2024, using organic foliar solutions including aspirin protect, baking soda, and Saccharomyces cerevisiae dry yeast, along with trace compounds such as Epsom salt and hydrogen peroxide, to enhance the plant’s photosynthetic biochemistry. These interventions were evaluated through conceptual modeling and validated using high-precision digital sensors. The findings demonstrated that the conventional photosynthesis equation can be modified by introducing specific ions and nutrients directly into plant tissues. Dry yeast served as a potassium source for cellular uptake, while aspirin dissolved in deionized water facilitated calcium ion absorption through the foliage. Additionally, baking soda was found to stimulate leaf development by contributing nitrate ions. Based on these foliar nutrition trials, the classical photosynthesis equation can be revisited and potentially revised, paving the way for future updates to plant biochemical models. The results indicate that photosynthetic efficiency is modulated by nutrient availability, particularly under foliar and root-applied nutrient regimes involving specific applications of nitrate, potassium, and calcium. Continued experimentation with diverse foliar formulations, sensor technologies, and targeted physiological parameters is recommended to further optimize photosynthetic efficiency in plants.