Automated Balancing of Complex Redox Reactions Using MAPLE Software and Linear Algebra

Balancing chemical equations is a fundamental principle in chemistry that ensures mass and charge conservation during chemical processes.Simple reactions can be balanced manually, but more complex redox processes necessitate systematic and accurate methods.Classical methods of balancing chemical equations sometimes use trial-and-error or algebraic techniques, which can be time-consuming and prone to error.This study aims to demonstrate how linear algebra-based approaches in conjunction to MAPLE software can simplify and speed up the balancing of complex redox reactions, resulting in a more systematic and accurate approach.To generate solutions, we employ matrix representations of chemical equations with MAPLE software.The algorithm gives coefficients to reactants and products in sequence, ensuring mass and charge balance.In comparison to manual balancing, the recommended approach greatly decreases calculation time while improving accuracy.Computational technologies simplify the process, making it more accessible to students, teachers, and researchers.By integrating chemistry, mathematics, and programming, this study highlights the importance of multidisciplinary approaches in advancing chemical education and research.The findings highlight the potential of computational methods in simplifying difficult chemical challenges, opening the path for further research in this area.