Development of a new mathematical modelling approach for prediction of growth kinetics of Listeria monocytogenes in milk

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dc.contributor.authorTarlak, Fatih
dc.date.accessioned2024-06-13T20:18:40Z
dc.date.available2024-06-13T20:18:40Z
dc.date.issued2021
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractThe main objective of the present study was to develop a new modelling method, inverse dynamic modelling approach, as an alternative to two-step modelling approach, which is traditionally used n predictive food microbiology. For this purpose, the growth data of Listeria monocytogenes in milk subjected to isothermal and non-isothermal storage conditions were gathered from previously published growth curves. The bacterial growth data were described as a function of time and temperature using the direct two-step, direct one-step and inverse dynamic modelling approaches based on the Baranyi and Huang models. Maximum specific growth rate (mu(max)) and lag phase duration (lambda) estimated by different modelling approaches and primary models were statistically compared. Results revealed that there was no significant difference (p > 0.05) between the growth kinetic parameters obtained from direct and inverse modelling approaches. The prediction capability of inverse dynamic modelling approach was validated by externally gathering growth curves. The inverse dynamic modelling approach provided satisfactory statistical indices (0.99 > Bias factor > 1.10 and 1.16 > Accuracy factor > 1.19), meaning that it can be reliably used as an alternative way of describing the growth behaviour of Listeria monocytogenes in milk in a fast way with a minimal labour requirement.
dc.identifier.endpage295
dc.identifier.issn1336-8672
dc.identifier.issn1338-4260
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85121847167
dc.identifier.scopusqualityQ3
dc.identifier.startpage285
dc.identifier.urihttps://hdl.handle.net/11501/1477
dc.identifier.volume60
dc.identifier.wosWOS:000750805300001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherVup Food Research Inst, Bratislava
dc.relation.ispartofJournal of Food and Nutrition Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectInverse Dynamic Modelling
dc.subjectMilk
dc.subjectGrowth Kinetic
dc.subjectFood Safety
dc.subjectPredictive Microbiology
dc.subjectLag Phase
dc.subjectTemperature
dc.subjectValidation
dc.titleDevelopment of a new mathematical modelling approach for prediction of growth kinetics of Listeria monocytogenes in milk
dc.typeArticle

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