Desenvolvimento de ferramenta computacional para ajuste de modelos matemáticos e simulação de processos fermentativos em batelada

Abstract

This work presents the development of a JavaScript-based computational tool focused on modeling batch fermentation processes. The application allows users to enter experimental data directly in the interface, fit parameters of the classical growth models of Monod, Moser, Contois, Bergter, Tessier, Andrews, and Aiba through the Particle Swarm Optimization algorithm, compare the alternatives according to the Akaike information criterion, and visualize the simulated curves. The default demonstration uses synthetic series in hours and g/L obtained by numerically solving the Pirt–Monod model with parameters taken from specialized literature, highlighting the proper functioning of the tool and its usefulness as support for teaching and research in bioprocesses.