Modeling the Effect of Temperature on Ethanol Fermentation Using Saccharomyces Cerevisiae CSI-1 by Genetic Programming Modeling the Effect of Temperature on Ethanol Fermentation

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Cirilo Nolasco-Hipolito
https://orcid.org/0000-0002-3376-1047
Octavio Carvajal-Zarrabal
https://orcid.org/0000-0003-4137-9144
Jesús Carrillo-Ahumada
https://orcid.org/0000-0003-2156-0157
Miguel Ángel Morales-Mora
https://orcid.org/0000-0001-5708-8208
Yie Hua Tan
https://orcid.org/0000-0002-1998-8181
Fabiola Hernández-Sánchez
https://orcid.org/0000-0002-8439-7628
Miguel Ángel García-Muñoz
https://orcid.org/0000-0003-4588-5634
Mohammad Omar Abdullah
https://orcid.org/0000-0002-0819-3877

Abstract

In this study, genetic programming (GP) was the systematic method used to identify the structure and parameters of a mathematical model for ethanol fermentation. The mathematical model simulated the effect of temperature on the kinetics of batch ethanol fermentation and helped to find out the optimum temperature for the better performance of the process. Saccharomyces cerevisiae CSI-1 growing in cane molasses-based media was the microorganism used in all the experiments. Achieving the model’s precision in describing the experimental observations involved the estimation of its structure (non-linear principally) and its constant parameters. The model found describes the fermentation kinetics and showed a fair prediction for Dry cell weight (DCW), Colony forming units/mL (CFU/mL), Residual sucrose (RS), Residual glucose (RG) and Ethanol concentration (E). The model was used to optimize the operating conditions of the process. The predictions from the model in terms of Mean Square Error (MSE) and Sum Squared Error (SSE) fitted the experimental data well with fitness values in a range of R2 ? 0:92.

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How to Cite
Nolasco-Hipolito, C., Carvajal-Zarrabal, O., Carrillo-Ahumada, J., Morales-Mora, M. Ángel, Tan, Y. H., Hernández-Sánchez, F., García-Muñoz, M. Ángel, & Abdullah, M. O. (2023). Modeling the Effect of Temperature on Ethanol Fermentation Using Saccharomyces Cerevisiae CSI-1 by Genetic Programming: Modeling the Effect of Temperature on Ethanol Fermentation. Journal of Applied Research and Technology, 21(5), 753–763. https://doi.org/10.22201/icat.24486736e.2023.21.5.1997
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