Targeted conversion of protein and glucose waste streams to volatile fatty acids by metabolic models
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Enxeñaría Química | gl |
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS) | gl |
| dc.contributor.area | Área de Enxeñaría e Arquitectura | |
| dc.contributor.author | Regueira López, Alberte | |
| dc.contributor.author | Bevilacqua, Riccardo | |
| dc.contributor.author | Lema Rodicio, Juan Manuel | |
| dc.contributor.author | Carballa Arcos, Marta | |
| dc.contributor.author | Mauricio Iglesias, Miguel | |
| dc.date.accessioned | 2020-07-03T08:14:27Z | |
| dc.date.available | 2020-07-03T08:14:27Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Mixed-culture fermentations are recognised as suitable processes to valorise organic wastes and convert them into added-value products. One of the main issues of these processes is that the stoichiometry of the fermentations is highly dependent on operational conditions such as the pH or the concentrations of the different substrates. In this work we developed a mathematical model for the production of volatile fatty acids from wastes featuring high concentrations of carbohydrates and proteins. The model reproduces experimental results, predicting the tendencies of the product spectrum when varying pH values and at different proportions of carbohydrates and proteins in the feeding. This model can be the core of a tool for the computer-aided design of mixed-culture fermentations | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | The authors would like to acknowledge the support of the Spanish Ministry of Education (FPU14/05457) and ERA-IB-2 project BIOCHEM (PCIN 2016-102) funded by MINECO. The authors belong to the Galician Competitive Research Group ED431C2017/029 and to the CRETUS Strategic Partnership (ED431E 2018/01), both programmes are cofunded by FEDER (UE) | gl |
| dc.identifier.citation | IFAC-PapersOnLine. Volume 52, Issue 26, 2019, Pages 175-180. https://doi.org/10.1016/j.ifacol.2019.12.254 | gl |
| dc.identifier.doi | 10.1016/j.ifacol.2019.12.254 | |
| dc.identifier.issn | 2405-8963 | |
| dc.identifier.uri | http://hdl.handle.net/10347/23093 | |
| dc.language.iso | eng | gl |
| dc.publisher | Elsevier | gl |
| dc.relation.publisherversion | https://doi.org/10.1016/j.ifacol.2019.12.254 | gl |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Metabolic modelling | gl |
| dc.subject | Mixed microbial cultures | gl |
| dc.subject | Computer-aided process design | gl |
| dc.subject | Volatile fatty acids production | gl |
| dc.subject | Anaerobic cofermentation | gl |
| dc.title | Targeted conversion of protein and glucose waste streams to volatile fatty acids by metabolic models | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | b098e7de-f49e-4335-9f8d-d70a445f4a69 | |
| relation.isAuthorOfPublication.latestForDiscovery | bc9b55d8-84d1-49d3-bdbe-1c9a9c276cf5 |
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