dor_id: 4149999

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/1997/1033

100.1.#.a: Nolasco Hipolito, Cirilo; Carvajal Zarrabal, Octavio; Carrillo Ahumada, Jesús; Morales Mora, Miguel Ángel; Tan, Yie Hua; Hernández Sánchez, Fabiola; García Muñoz, Miguel Ángel; Abdullah, Mohammad Omar

524.#.#.a: Nolasco Hipolito, Cirilo, et al. (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; Vol. 21 Núm. 5, 2023; 753-763. Recuperado de https://repositorio.unam.mx/contenidos/4149999

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

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-10-30

653.#.#.a: Ethanol fermentation; Genetic programming; Modeling; Saccharomyces cerevisiae; Temperature effect; Optimization

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: 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.

773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 5 (2023); 753-763

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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300.#.#.a: Páginas: 753-763

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.24486736e.2023.21.5.1997

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

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

Nolasco Hipolito, Cirilo; Carvajal Zarrabal, Octavio; Carrillo Ahumada, Jesús; Morales Mora, Miguel Ángel; Tan, Yie Hua; Hernández Sánchez, Fabiola; García Muñoz, Miguel Ángel; Abdullah, Mohammad Omar

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Nolasco Hipolito, Cirilo, et al. (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; Vol. 21 Núm. 5, 2023; 753-763. Recuperado de https://repositorio.unam.mx/contenidos/4149999

Descripción del recurso

Autor(es)
Nolasco Hipolito, Cirilo; Carvajal Zarrabal, Octavio; Carrillo Ahumada, Jesús; Morales Mora, Miguel Ángel; Tan, Yie Hua; Hernández Sánchez, Fabiola; García Muñoz, Miguel Ángel; Abdullah, Mohammad Omar
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Modeling the Effect of Temperature on Ethanol Fermentation Using Saccharomyces Cerevisiae CSI-1 by Genetic Programming: Modeling the Effect of Temperature on Ethanol Fermentation
Fecha
2023-10-30
Resumen
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.
Tema
Ethanol fermentation; Genetic programming; Modeling; Saccharomyces cerevisiae; Temperature effect; Optimization
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces