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Mathematical models for prediction of temperature effects on kinetic parameters of microorganisms’ inactivation: tools for model comparison and adequacy in data fitting

2017Journal article Open access
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dc.contributor.authorGil, Maria M.
dc.contributor.authorMiller, Fátima A.
dc.contributor.authorBrandão, Teresa R. S.
dc.contributor.authorSilva, Cristina L. M.
dc.date.accessioned2018-11-05T17:20:02Z
dc.date.available2018-11-05T17:20:02Z
dc.date.issued2017
dc.description.abstractMicrobial inactivation often follows a sigmoidal kinetic behaviour, with an initial lag phase, followed by a maximum inactivation rate period and tending to a final asymptotic value. Mathematically, such tendencies may be described by using primary kinetic models (Gompertz based model is one example) that describe microbial survival throughout processing time when stressing conditions are applied. The parameters of kinetic models are directly affected by temperature. Despite the number of mathematical equations used to describe the dependence of the kinetic parameters on temperature (so-called secondary models), there is a lack of studies regarding model comparison and adequacy in data fitting. This work provides a review of mathematical models that describe the temperature dependence of kinetic parameters related to microbial thermal inactivation. Regression analysis schemes and tests seeking model comparison are presented. A case study is included to provide guidance for the assessment of secondary model adequacy and regression analyses procedures. When modelling temperature effects on sigmoidal inactivation kinetics of microorganisms, one should be aware about the regression methodology applied. The most adequate models according to the two-step regression methodology may not be the best selection if a global fit is applied.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationGil, M.M., Miller, F.A., Brandão, T.R.S., Silva, C.L.M. (2017). Mathematical Models for Prediction of Temperature Effects on Kinetic Parameters of Microorganisms’ Inactivation: Tools for Model Comparison and Adequacy in Data Fitting. Food and Bioprocess Technology, 10(12), 2208-2225pt_PT
dc.identifier.doi10.1007/s11947-017-1989-xpt_PT
dc.identifier.eid85029600350
dc.identifier.eissn1935-5149
dc.identifier.issn1935-5130
dc.identifier.urihttp://hdl.handle.net/10400.14/25966
dc.identifier.wos000415249000010
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationGASEOUS OZONE AS A POTENTIAL ALTERNATIVE DISINFECTION METHOD FOR MODIFIED ATMOSPHERE PACKAGING FRESH-CUT PRODUCE WITH HIGH QUALITY AND SAFETY STANDARDS
dc.relationExploitation of bioactive and nutritive compounds from waste parts of fruits, seeking development of new strategies for adding value to fruit waste
dc.subjectMicrobial inactivationpt_PT
dc.subjectMaximum inactivation ratept_PT
dc.subjectShoulder parameterpt_PT
dc.subjectTemperature effectspt_PT
dc.titleMathematical models for prediction of temperature effects on kinetic parameters of microorganisms’ inactivation: tools for model comparison and adequacy in data fittingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleGASEOUS OZONE AS A POTENTIAL ALTERNATIVE DISINFECTION METHOD FOR MODIFIED ATMOSPHERE PACKAGING FRESH-CUT PRODUCE WITH HIGH QUALITY AND SAFETY STANDARDS
oaire.awardTitleExploitation of bioactive and nutritive compounds from waste parts of fruits, seeking development of new strategies for adding value to fruit waste
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F65041%2F2009/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F101179%2F2014/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAR%2F04292%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMulti%2F50016%2F2013/PT
oaire.citation.endPage2225
oaire.citation.issue12
oaire.citation.startPage2208
oaire.citation.titleFood and Bioprocess Technologypt_PT
oaire.citation.volume10
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameGil
person.familyNameMiller
person.familyNameBrandão
person.familyNameSilva
person.givenNameMaria M
person.givenNameFatima
person.givenNameTeresa
person.givenNameCristina
person.identifierG-5364-2013
person.identifierJ-9418-2012
person.identifier1473674
person.identifier.ciencia-id7313-A289-DF48
person.identifier.ciencia-id3A17-0386-6C1B
person.identifier.ciencia-id7B19-E23B-BB31
person.identifier.ciencia-id6611-634A-132C
person.identifier.orcid0000-0002-8008-9839
person.identifier.orcid0000-0002-3715-6231
person.identifier.orcid0000-0002-8857-6471
person.identifier.orcid0000-0002-0495-3955
person.identifier.ridG-5364-2013
person.identifier.ridJ-9418-2012
person.identifier.ridA-3568-2013
person.identifier.scopus-author-id12785024700
person.identifier.scopus-author-id15056315100
person.identifier.scopus-author-id6602174128
person.identifier.scopus-author-id7201387397
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
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
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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