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The importance of monitoring cortisol in the agri-food sector: a systematic review

2023Journal article Open access
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dc.contributor.authorAguiar, Dayana
dc.contributor.authorMarques, Carlos
dc.contributor.authorPereira, Ana C.
dc.date.accessioned2024-07-11T13:21:43Z
dc.date.available2024-07-11T13:21:43Z
dc.date.issued2023
dc.description.abstractCortisol monitoring in the agri-food sector is considered a valuable tool due to its direct correlation with growth, reproduction, the immune system, and overall animal welfare. Strategies to monitor this stress hormone and its correlation to food quality and security have been studied in fish farming and the livestock industry. This review discusses studies on monitoring cortisol in the food industry for the first time. The impact of cortisol on animal production, quality, and the security of food products, and the analytical procedures commonly implemented for sample pre-concentration and quantification by liquid chromatography coupled to mass spectrometry, are reviewed and discussed according to the results published in the period 2012–2022. Aquaculture, or fish farming, is the leading agri-food sector, where cortisol’s impact and usefulness are better known than in livestock. The determination of cortisol in fish not only allows for an increase in the production rate, but also the ability to monitor the water quality, enhancing the sustainable development of this industry. In cattle, further studies are needed since it has mainly been used to detect the administration of illicit substances. Current analytical control and monitoring techniques are expensive and often depend on invasive sampling, not allowing fast or real-time monitoring.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAguiar, D.; Marques, C.; Pereira, A.C. The Importance of Monitoring Cortisol in the Agri-Food Sector—A Systematic Review. Metabolites 2023, 13, 692. https:// doi.org/10.3390/metabo13060692pt_PT
dc.identifier.doi10.3390/metabo13060692pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5739
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationBI/UI96/10165/2022pt_PT
dc.relationSustainable Aquaculture: from predictive analytics to intelligent photonics platform - iAqua
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStress monitoringpt_PT
dc.subjectCortisolpt_PT
dc.subjectAnimal welfarept_PT
dc.subjectFood industrypt_PT
dc.subjectExtractionpt_PT
dc.subjectLC-MS/MSpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleThe importance of monitoring cortisol in the agri-food sector: a systematic reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSustainable Aquaculture: from predictive analytics to intelligent photonics platform - iAqua
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos IC&DT em Todos os Domínios Científicos/PTDC%2FEEI-EEE%2F0415%2F2021/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND4ed/2021.00667.CEECIND%2FCP1659%2FCT0015/PT
oaire.citation.issue6pt_PT
oaire.citation.startPage692pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume13pt_PT
oaire.fundingStreamConcurso de Projetos IC&DT em Todos os Domínios Científicos
oaire.fundingStreamCEEC IND4ed
person.familyNameAguiar
person.familyNameMarques
person.familyNamePereira
person.givenNameDayana
person.givenNameCarlos
person.givenNameAna Cristina
person.identifier2010887
person.identifier.ciencia-idCC1A-3C03-C033
person.identifier.ciencia-idF61D-DA67-C311
person.identifier.ciencia-id251D-B696-A3D1
person.identifier.orcid0000-0002-3527-447X
person.identifier.orcid0000-0002-8596-5092
person.identifier.orcid0000-0003-3097-7704
person.identifier.ridA-7681-2015
person.identifier.scopus-author-id55950069600
person.identifier.scopus-author-id56483357000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery39f57e2e-1189-449d-a5c8-e07981867896
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