Metabolic modeling for predicting VFA production from protein‐rich substrates by mixed‐culture fermentation
| Autor: | Marta Carballa, Alberte Regueira, Juan M. Lema, Miguel Mauricio-Iglesias |
|---|---|
| Přispěvatelé: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Química, Universidade de Santiago de Compostela. Instituto de Investigacións Tecnolóxicas |
| Rok vydání: | 2019 |
| Předmět: |
Mixed cultures
Microbial Consortia Bioengineering Wastewater Models Biological Applied Microbiology and Biotechnology Metabolic modeling Hydrolysis Bioreactors Volatile fatty acids Biotransformation Organic chemistry Anaerobiosis Amino Acids Anaerobic protein degradation Investigación::33 Ciencias tecnológicas::3308 Ingeniería y tecnología del medio ambiente::330810 Tecnología de aguas residuales [Materias] chemistry.chemical_classification Investigación::33 Ciencias tecnológicas::3302 Tecnología bioquímica::330202 Tecnología de la fermentación [Materias] Bacteria Proteins Hydrogen-Ion Concentration Fatty Acids Volatile Amino acid Anaerobic digestion chemistry Fermentation Process design Selectivity Biotechnology |
| Zdroj: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname |
| ISSN: | 1097-0290 0006-3592 |
| Popis: | 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 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 The authors would like to acknowledge the support of the Spanish Ministry of Education (FPU14/05457) and project BIOCHEM (ERA-IB-2 7th call, ERA-IB-16-052) funded by MINECO (PCIN 2016-102). A. Regueira would like to thank the CRETUS Strategic Partnership (ED431E 2018/01), for a research stay grant. A. Regueira, M. Miguel-Mauricio and J. M. Lema belong to the Galician Competitive Research Group ED431C2017/029 and to the CRETUS Strategic Partnership, both programmes are co-funded by FEDER (UE) SI |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text