Biobased short chain fatty acid production - Exploring microbial community dynamics and metabolic networks through kinetic and microbial modeling approaches
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Química Analítica, Nutrición e Bromatoloxía | |
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Centro Interdisciplinar de Investigación en Tecnoloxías Ambientais (CRETUS) | |
| dc.contributor.author | Atasoy, Merve | |
| dc.contributor.author | Scott Jr, William T. | |
| dc.contributor.author | Regueira López, Alberte | |
| dc.contributor.author | Mauricio Iglesias, Miguel | |
| dc.contributor.author | Schaap, Peter J. | |
| dc.contributor.author | Smidt, Hauke | |
| dc.date.accessioned | 2025-11-26T08:47:46Z | |
| dc.date.available | 2025-11-26T08:47:46Z | |
| dc.date.issued | 2024-04-22 | |
| dc.description.abstract | In recent years, there has been growing interest in harnessing anaerobic digestion technology for resource recovery from waste streams. This approach has evolved beyond its traditional role in energy generation to encompass the production of valuable carboxylic acids, especially volatile fatty acids (VFAs) like acetic acid, propionic acid, and butyric acid. VFAs hold great potential for various industries and biobased applications due to their versatile properties. Despite increasing global demand, over 90% of VFAs are currently produced synthetically from petrochemicals. Realizing the potential of large-scale biobased VFA production from waste streams offers significant eco-friendly opportunities but comes with several key challenges. These include low VFA production yields, unstable acid compositions, complex and expensive purification methods, and post-processing needs. Among these, production yield and acid composition stand out as the most critical obstacles impacting economic viability and competitiveness. This paper seeks to offer a comprehensive view of combining complementary modeling approaches, including kinetic and microbial modeling, to understand the workings of microbial communities and metabolic pathways in VFA production, enhance production efficiency, and regulate acid profiles through the integration of omics and bioreactor data. | |
| dc.description.peerreviewed | SI | |
| dc.identifier.citation | Biotechnology Advances 73 (2024) 108363 | |
| dc.identifier.doi | 10.1016/j.biotechadv.2024.108363 | |
| dc.identifier.issn | 0734-9750 | |
| dc.identifier.uri | https://hdl.handle.net/10347/44005 | |
| dc.journal.title | Biotechnology Advances | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.publisherversion | https://doi.org/10.1016/j.biotechadv.2024.108363 | |
| dc.rights | © 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Volatile fatty acids | |
| dc.subject | Open mixed culture fermentation | |
| dc.subject | Microbial community | |
| dc.subject | Kinetic modeling | |
| dc.subject | Generalized-Lotka Volterra models | |
| dc.subject | ODE-based microbe effector models | |
| dc.subject | Genome-scale metabolic models | |
| dc.subject.classification | 2301 química analítica | |
| dc.title | Biobased short chain fatty acid production - Exploring microbial community dynamics and metabolic networks through kinetic and microbial modeling approaches | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.volume.number | 73 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | bc9b55d8-84d1-49d3-bdbe-1c9a9c276cf5 | |
| relation.isAuthorOfPublication | b098e7de-f49e-4335-9f8d-d70a445f4a69 | |
| relation.isAuthorOfPublication.latestForDiscovery | bc9b55d8-84d1-49d3-bdbe-1c9a9c276cf5 |
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