Metabolic modeling for predicting VFA production from protein‐rich substrates by mixed‐culture fermentation
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Título: | Metabolic modeling for predicting VFA production from protein‐rich substrates by mixed‐culture fermentation |
Autor/a: | Regueira López, Alberte Lema Rodicio, Juan Manuel Carballa Arcos, Marta Mauricio Iglesias, Miguel |
Centro/Departamento: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Química Universidade de Santiago de Compostela. Instituto de Investigacións Tecnolóxicas |
Palabras chave: | Anaerobic protein degradation | Metabolic modeling | Mixed cultures | Process design | Volatile fatty acids | |
Data: | 2020-01 |
Editor: | Wiley |
Cita bibliográfica: | Regueira, A., Lema, J.M., Carballa, M., Mauricio-Iglesias, M., 2020. Metabolic modeling for predicting VFA production from protein-rich substrates by mixed-culture fermentation. Biotechnol. Bioeng. 117, 73–84. https://doi.org/10.1002/bit.27177 |
Resumo: | Proteinaceous organic wastes are suitable substrates to produce high added‐value products in anaerobic mixed‐culture fermentations. In these processes, the stoichiometry of the biotransformation depends highly on operational conditions such as pH or feeding characteristics and there are still no tools that allow the process to be directed toward those products of interest. Indeed, the lack of product selectivity strongly limits the potential industrial development of these bioprocesses. In this work, we developed a mathematical metabolic model for the production of volatile fatty acids from protein‐rich wastes. In particular, the effect of pH on the product yields is analyzed and, for the first time, the observed changes are mechanistically explained. The model reproduces experimental results at both neutral and acidic pH and it is also capable of predicting the tendencies in product yields observed with a pH drop. It also offers mechanistic insights into the interaction among the different amino acids (AAs) of a particular protein and how an AA might yield different products depending on the relative abundance of other AAs. Particular emphasis is placed on the utility of this mathematical model as a process design tool and different examples are given on how to use the model for this purpose |
Descrición: | This is the peer reviewed version of the following article: Regueira, A, Lema, JM, Carballa, M, Mauricio‐Iglesias, M. Metabolic modeling for predicting VFA production from protein‐rich substrates by mixed‐culture fermentation. Biotechnology and Bioengineering. 2020; 117: 73– 84, which has been published in final form at https://doi.org/10.1002/bit.27177. This article may be used for non‐commercial purposes in accordance with Wiley Terms and Conditions for Use of Self‐Archived Versions |
Versión do editor: | https://doi.org/10.1002/bit.27177 |
URI: | http://hdl.handle.net/10347/20450 |
DOI: | 10.1002/bit.27177 |
ISSN: | 0006-3592 |
E-ISSN: | 1097-0290 |
Dereitos: | © 2019 Wiley Periodicals, Inc. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions |
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