Biobased short chain fatty acid production - Exploring microbial community dynamics and metabolic networks through kinetic and microbial modeling approaches

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Química Analítica, Nutrición e Bromatoloxía
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro Interdisciplinar de Investigación en Tecnoloxías Ambientais (CRETUS)
dc.contributor.authorAtasoy, Merve
dc.contributor.authorScott Jr, William T.
dc.contributor.authorRegueira López, Alberte
dc.contributor.authorMauricio Iglesias, Miguel
dc.contributor.authorSchaap, Peter J.
dc.contributor.authorSmidt, Hauke
dc.date.accessioned2025-11-26T08:47:46Z
dc.date.available2025-11-26T08:47:46Z
dc.date.issued2024-04-22
dc.description.abstractIn 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.peerreviewedSI
dc.identifier.citationBiotechnology Advances 73 (2024) 108363
dc.identifier.doi10.1016/j.biotechadv.2024.108363
dc.identifier.issn0734-9750
dc.identifier.urihttps://hdl.handle.net/10347/44005
dc.journal.titleBiotechnology Advances
dc.language.isoeng
dc.publisherElsevier
dc.relation.publisherversionhttps://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.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectVolatile fatty acids
dc.subjectOpen mixed culture fermentation
dc.subjectMicrobial community
dc.subjectKinetic modeling
dc.subjectGeneralized-Lotka Volterra models
dc.subjectODE-based microbe effector models
dc.subjectGenome-scale metabolic models
dc.subject.classification2301 química analítica
dc.titleBiobased short chain fatty acid production - Exploring microbial community dynamics and metabolic networks through kinetic and microbial modeling approaches
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number73
dspace.entity.typePublication
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relation.isAuthorOfPublicationb098e7de-f49e-4335-9f8d-d70a445f4a69
relation.isAuthorOfPublication.latestForDiscoverybc9b55d8-84d1-49d3-bdbe-1c9a9c276cf5

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