Modeling Cell Division In Biobatteries

The article provides an overview of new energy storage technologies and presents a mathematical model of the regulatory mechanisms of cell division in the context of optimizing the performance of biobatteries based on microbial fuel cells. The mathematical model of cell division regulation, built on a system of nonlinear functional-differential equations with delay, allows for the description and prediction of cell behavior under changing environmental conditions and metabolic parameters. The method is based on a sequential control mechanism: strong control (altering parameters at the transcription level), medium control (at the translation level), and fine control (at the protein-enzyme level). Simulation results demonstrate that controlling the cell cycle and its phases can enhance the energy efficiency and longevity of biobatteries. The proposed approach can also be used to adapt biobatteries to external conditions and increase the resilience of microbial communities to stress. The findings open up new prospects for developing biobatteries with high stability and performance, which is important for a wide range of environmentally sustainable applications.

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