Flow cytometry: a tool for understanding the behaviour of polyhydroxyalkanoate accumulators
| datacite.alternateIdentifier.citation | Applied Microbiology and Biotechnology, 107 (45718), 590-581, 2023 | |
| datacite.alternateIdentifier.doi | 10.1007/s00253-022-12318-x | |
| datacite.alternateIdentifier.issn | 0175-7598 | |
| datacite.creator | González, Karina | |
| datacite.creator | Salinas, Alejandro | |
| datacite.creator | Pinto-Ibieta, Fernanda | |
| datacite.creator | Navia, Rodrigo | |
| datacite.creator | Liu, Shijie | |
| datacite.creator | Cea, Mara | |
| datacite.date | 2023 | |
| datacite.rights | Registro bibliográfico | |
| datacite.subject | Bioreactors | |
| datacite.subject | Flow Cytometry | |
| datacite.subject | Mixed Microbial Cultures | |
| datacite.subject | Polyhydroxyalkanoates | |
| datacite.subject | Carbon | |
| datacite.subject | Polyhydroxyalkanoates | |
| datacite.subject | Polyhydroxybutyrate | |
| datacite.subject | Batch Reactors | |
| datacite.subject | Flow Cytometry | |
| datacite.subject | Food Supply | |
| datacite.subject | Metabolism | |
| datacite.subject | Attractive Strategies | |
| datacite.subject | Metabolic Activity | |
| datacite.subject | Metabolic State | |
| datacite.subject | Mixed Microbial Culture | |
| datacite.subject | Physiological State | |
| datacite.subject | Polyhydroxyalkanoates | |
| datacite.subject | Polyhydroxybutyrate | |
| datacite.subject | Process Tools | |
| datacite.subject | Production Process | |
| datacite.subject | Sequencing Batch Reactors | |
| datacite.subject | Microorganisms | |
| datacite.subject | Carbon | |
| datacite.subject | Dissolved Oxygen | |
| datacite.subject | Polyhydroxyalkanoic Acid | |
| datacite.subject | Polyhydroxybutyrate | |
| datacite.subject | Accumulation | |
| datacite.subject | Bioreactor | |
| datacite.subject | Famine | |
| datacite.subject | Flow Cytometry | |
| datacite.subject | Microbial Activity | |
| datacite.subject | Analytic Method | |
| datacite.subject | Article | |
| datacite.subject | Bacterial Strain | |
| datacite.subject | Carbon Source | |
| datacite.subject | Hydraulic Retention Time | |
| datacite.subject | Metabolism | |
| datacite.subject | Microorganism | |
| datacite.subject | Nonhuman | |
| datacite.subject | Operation Duration | |
| datacite.subject | Solids Retention Time | |
| datacite.subject | Waste Water Treatment Plant | |
| datacite.subject | Fermentation | |
| datacite.subject | Bioreactors | |
| datacite.subject | Fermentation | |
| datacite.subject | Flow Cytometry | |
| datacite.title | Flow cytometry: a tool for understanding the behaviour of polyhydroxyalkanoate accumulators | |
| dc.contributor.author | PINTO IBIETA, FERNANDA EMILIA | |
| dc.date.accessioned | 2025-10-06T14:21:41Z | |
| dc.date.available | 2025-10-06T14:21:41Z | |
| dc.description.abstract | Abstract: The use of mixed microbial cultures (MMCs) is seen as an attractive strategy for polyhydroxyalkanoate (PHA) production. In order to optimize the MMC-PHA production process, tools are required to improve our understanding of the physiological state of the PHA-storing microorganisms within the MMC. In the present study, we explored the use of flow cytometry to analyse the metabolic state and polyhydroxybutyrate (PHB) content of the microorganisms from an MMC-PHA production process. A sequencing batch reactor under a feast and famine regime was used to enrich an MMC with PHB-storing microorganisms. Interestingly, once the PHB-storing microorganisms are selected, the level of PHB accumulation depends largely on the metabolic state of these microorganisms and not exclusively on the consortium composition. These results demonstrate that flow cytometry is a powerful tool to help to understand the PHA storage response of an MMC-PHA production process. Key points: Flow cytometry allows to measure PHB content and metabolic activity over time. Microorganisms showing high PHB content also have high metabolic activity. PHB producers with low metabolic activity show low PHB content. © 2023 Elsevier B.V., All rights reserved. | |
| dc.description.ia_keyword | microorganisms, metabolic, production, flow, cytometry, content, process | |
| dc.identifier.issn | 1432-0614 | |
| dc.identifier.uri | https://repositoriodigital.uct.cl/handle/10925/6744 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation | instname: ANID | |
| dc.relation | reponame: Repositorio Digital RI2.0 | |
| dc.rights.driver | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
| dc.source | Applied Microbiology and Biotechnology | |
| dc.subject.ia_oecd1n | Ingeniería y Tecnología | |
| dc.subject.ia_oecd2n | Ingeniería Química | |
| dc.subject.ia_oecd3n | Ingeniería Química | |
| dc.type.driver | info:eu-repo/semantics/article | |
| dc.type.driver | http://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.type.openaire | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| oaire.citationEdition | 2023 | |
| oaire.citationEndPage | 590 | |
| oaire.citationIssue | 2-3 | |
| oaire.citationStartPage | 581 | |
| oaire.citationTitle | Applied Microbiology and Biotechnology | |
| oaire.citationVolume | 107 | |
| oaire.fundingReference | ANID PFCHA Doctorado 21191476 | |
| oaire.fundingReference | ANID ANILLOS ACT172128 (GAMBIO) | |
| oaire.fundingReference | ANID FONDECYT 3200748 (Postdoctorado) | |
| oaire.licenseCondition | Copyright © Springer Nature, 2023 | |
| oaire.resourceType | Artículo | |
| oaire.resourceType.en | Article | |
| relation.isAuthorOfPublication | 222c7a9b-189a-4a82-8d38-89ca7765bd44 | |
| relation.isAuthorOfPublication.latestForDiscovery | 222c7a9b-189a-4a82-8d38-89ca7765bd44 | |
| uct.catalogador | jvu | |
| uct.comunidad | Ingeniería | en_US |
| uct.departamento | Departamento Procesos Industriales | |
| uct.facultad | Facultad de Ingeniería | |
| uct.indizacion | Science Citation Index Expanded - SCIE | |
| uct.indizacion | Scopus | |
| uct.indizacion | Scimago | |
| uct.indizacion | PubMed | |
| uct.indizacion | Crossref |
