Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment

Modelling has recently become a key tool to promote the bioethanol industry and to optimise the fermentation process to be easily integrated into the industrial sector. In this context, this study aims at investigating the applicability of two mathematical models (Andrews and Monod) for molasses fer...

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Main Authors: Zentou, Hamid, Zainal Abidin, Zurina, Yunus, Robiah, Awang Biak, Dayang Radiah, Zouanti, Mustapha, Abdelkader, Hassani
Format: Article
Language:English
Published: MDPI 2019
Online Access:http://psasir.upm.edu.my/id/eprint/38292/
http://psasir.upm.edu.my/id/eprint/38292/1/38292.pdf
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author Zentou, Hamid
Zainal Abidin, Zurina
Yunus, Robiah
Awang Biak, Dayang Radiah
Zouanti, Mustapha
Abdelkader, Hassani
author_facet Zentou, Hamid
Zainal Abidin, Zurina
Yunus, Robiah
Awang Biak, Dayang Radiah
Zouanti, Mustapha
Abdelkader, Hassani
author_sort Zentou, Hamid
building UPM Institutional Repository
collection Online Access
description Modelling has recently become a key tool to promote the bioethanol industry and to optimise the fermentation process to be easily integrated into the industrial sector. In this context, this study aims at investigating the applicability of two mathematical models (Andrews and Monod) for molasses fermentation. The kinetics parameters for Monod and Andrews were estimated from experimental data using Matlab and OriginLab software. The models were simulated and compared with another set of experimental data that was not used for parameters’ estimation. The results of modelling showed that μmax = 0.179 1/h and Ks = 11.37 g.L−1 for the Monod model, whereas μmax = 0.508 1/h, Ks = 47.53 g.L−1 and Ki = 181.01 g.L−1 for the Andrews model, which are too close to the values reported in previous studies. The validation of both models showed that the Monod model is more suitable for batch fermentation modelling at a low concentration, where the highest R squared was observed at S0 = 75 g.L−1 with an R squared equal to 0.99956, 0.99954, and 0.99859 for the biomass, substrate, and product concentrations, respectively. In contrast, the Andrews model was more accurate at a high initial substrate concentration and the model data showed a good agreement compared to the experimental data of batch fermentation at S0 = 225 g.L−1, which was reflected in a high R squared with values 0.99795, 0.99903, and 0.99962 for the biomass, substrate, and product concentrations respectively.
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spelling upm-382922020-05-04T16:12:54Z http://psasir.upm.edu.my/id/eprint/38292/ Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment Zentou, Hamid Zainal Abidin, Zurina Yunus, Robiah Awang Biak, Dayang Radiah Zouanti, Mustapha Abdelkader, Hassani Modelling has recently become a key tool to promote the bioethanol industry and to optimise the fermentation process to be easily integrated into the industrial sector. In this context, this study aims at investigating the applicability of two mathematical models (Andrews and Monod) for molasses fermentation. The kinetics parameters for Monod and Andrews were estimated from experimental data using Matlab and OriginLab software. The models were simulated and compared with another set of experimental data that was not used for parameters’ estimation. The results of modelling showed that μmax = 0.179 1/h and Ks = 11.37 g.L−1 for the Monod model, whereas μmax = 0.508 1/h, Ks = 47.53 g.L−1 and Ki = 181.01 g.L−1 for the Andrews model, which are too close to the values reported in previous studies. The validation of both models showed that the Monod model is more suitable for batch fermentation modelling at a low concentration, where the highest R squared was observed at S0 = 75 g.L−1 with an R squared equal to 0.99956, 0.99954, and 0.99859 for the biomass, substrate, and product concentrations, respectively. In contrast, the Andrews model was more accurate at a high initial substrate concentration and the model data showed a good agreement compared to the experimental data of batch fermentation at S0 = 225 g.L−1, which was reflected in a high R squared with values 0.99795, 0.99903, and 0.99962 for the biomass, substrate, and product concentrations respectively. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38292/1/38292.pdf Zentou, Hamid and Zainal Abidin, Zurina and Yunus, Robiah and Awang Biak, Dayang Radiah and Zouanti, Mustapha and Abdelkader, Hassani (2019) Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment. Biomolecules, 9 (8). art. no. 308. pp. 1-11. ISSN 2218-273X https://www.mdpi.com/2218-273X/9/8/308 10.3390/biom9080308
spellingShingle Zentou, Hamid
Zainal Abidin, Zurina
Yunus, Robiah
Awang Biak, Dayang Radiah
Zouanti, Mustapha
Abdelkader, Hassani
Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title_full Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title_fullStr Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title_full_unstemmed Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title_short Modelling of molasses fermentation for bioethanol production: a comparative investigation of Monod and Andrews models accuracy assessment
title_sort modelling of molasses fermentation for bioethanol production: a comparative investigation of monod and andrews models accuracy assessment
url http://psasir.upm.edu.my/id/eprint/38292/
http://psasir.upm.edu.my/id/eprint/38292/
http://psasir.upm.edu.my/id/eprint/38292/
http://psasir.upm.edu.my/id/eprint/38292/1/38292.pdf