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Modelling the kinetics of Staphylococcus aureus in goat's raw milk under different sub-pasteurisation temperatures

dc.contributor.authorSilva, Beatriz Nunes
dc.contributor.authorCoelho-Fernandes, Sara
dc.contributor.authorTeixeira, José António
dc.contributor.authorCadavez, Vasco
dc.contributor.authorGonzales-Barron, Ursula
dc.date.accessioned2023-12-18T09:51:42Z
dc.date.available2023-12-18T09:51:42Z
dc.date.issued2023
dc.description.abstractIn this study, the heat resistance of S. aureus in goats’ raw milk subjected to thermisation temperatures was characterised through tests at various temperatures and modelling the survival curves using the Weibull model, through a two-step and an omnibus approach, which can model a full dataset covering all experimental conditions in one step. The fitting capacity of the secondary models obtained from the two-step approach was reasonable (adj. R2 > 0.639) and both demonstrated the negative linear effects of temperature on ̅̅̅ χ √ (p = 0.0004) and ̅̅̅ β √ (p = 0.017). The fitting capacity of the omnibus model was more satisfactory (adj. R2 = 0.996) and also hinted at the negative linear effect of temperature on ̅̅̅ χ √ (p < 0.0001), with the added advantage that, in this model, random effects can be used to account for the variability in the parameters. Our study estimated the significant inactivation parameters and established a model capable of predicting S. aureus behaviour at various temperatures. This information is useful to create time-temperature tables to reach target log reductions of S. aureus in goats’ raw milk to be used by artisanal cheesemakers; hence providing an opportunity to increase the microbiological safety of cheeses made from unpasteurised milk.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/ 2020) and SusTEC (LA/P/0007/2020). They are also grateful to the EU PRIMA program and the Portuguese Foundation for Science and Technology (FCT) for funding the ArtiSaneFood project (PRIMA/0001/ 2018). This study was supported by FCT under the scope of the strategic funding of the UIDB/04469/2020 unit and BioTecNorte operation (NORTE-01–0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020—Programa Operacional Regional do Norte. B. N. Silva acknowledges the financial support provided by FCT through the Ph.D. grant SFRH/BD/137801/2018.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Beatriz Nunes; Coelho-Fernandes, Sara; Teixeira, José António; Cadavez, Vasco; Gonzales-Barron, Ursula (2023). Modelling the kinetics of Staphylococcus aureus in goat's raw milk under different sub-pasteurisation temperatures. Microbial Risk Analysis. ISSN 2352-3522. 25, p. 1-8pt_PT
dc.identifier.doi10.1016/j.mran.2023.100279pt_PT
dc.identifier.issn2352-3522
dc.identifier.urihttp://hdl.handle.net/10198/28953
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationMountain Research Center
dc.relationMountain Research Center
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationProbability of growth modelling to optimise the use of biopreservation technologies to control the development of Staphylococcus aureus in goat’s raw milk soft cheeses
dc.relationCentre of Biological Engineering of the University of Minho
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWeibullpt_PT
dc.subjectThermisationpt_PT
dc.subjectHeat treatmentpt_PT
dc.subjectArtisanal cheesept_PT
dc.subjectInactivationpt_PT
dc.titleModelling the kinetics of Staphylococcus aureus in goat's raw milk under different sub-pasteurisation temperaturespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleMountain Research Center
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardTitleProbability of growth modelling to optimise the use of biopreservation technologies to control the development of Staphylococcus aureus in goat’s raw milk soft cheeses
oaire.awardTitleCentre of Biological Engineering of the University of Minho
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/PRIMA Section 2 - Multi-topic 2018/PRIMA%2F0001%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F137801%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04469%2F2020/PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMicrobial Risk Analysispt_PT
oaire.citation.volume25pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPRIMA Section 2 - Multi-topic 2018
oaire.fundingStreamPOR_NORTE
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva
person.familyNameCadavez
person.familyNameGonzales-Barron
person.givenNameBeatriz Nunes
person.givenNameVasco
person.givenNameUrsula
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person.identifier.ciencia-id441B-01AB-A12E
person.identifier.ciencia-id0813-C319-B62A
person.identifier.orcid0000-0002-7571-031X
person.identifier.orcid0000-0002-3077-7414
person.identifier.orcid0000-0002-8462-9775
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id57207937268
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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