Modeling of Rhamnolipid Biosurfactant Production: Estimation of Kinetic Parameters by Genetic Algorithm |
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Authors: | Jéssica M.D.A. Câmara Magna A.S.B. Sousa Eduardo L. Barros Neto |
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Affiliation: | Chemical Engineering Department, Universidade Federal do Rio Grande do Norte, Senador Salgado Filho 3000—Campus Universitário, Natal, Rio Grande do Norte, 59078-970 Brazil |
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Abstract: | Studies about kinetics and modeling of production parameters for biosurfactants are essential to the development of efficient processes from an economic point of view. In this sense, this work evaluated the performance of four nonstructured models to explain the experimental data for biomass growth, substrate consumption, and rhamnolipid production using glycerol as carbon source and a Pseudomonas aeruginosa strain. The kinetic parameters of each model were estimated using a global search method known as genetic algorithm and numerical discretization of differential equations by the Runge–Kutta 4th order method. The main result of this study showed that the Monod model best represented the experimental data, with μmax values of 0.06 h−1, KS of 50.8 g L−1, YX/S of 0.43 g g−1, and YP/X equal to 0.017 g g−1. |
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Keywords: | Genetic algorithm Kinetics Pseudomonas aeruginosa Rhamnolipid |
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