Comparison of modelling approaches for the prediction of kinetic growth parameters of Pseudomonas spp. in oyster mushroom (Pleurotus ostreatus)

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dc.authoridCosta, Jean Carlos Correia Peres/0000-0001-6839-8746
dc.contributor.authorTarlak, Fatih
dc.contributor.authorCorreia Peres Costa, Jean Carlos
dc.date.accessioned2024-06-13T20:18:19Z
dc.date.available2024-06-13T20:18:19Z
dc.date.issued2023
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractIn predictive microbiology, primary and secondary models can be used to predict microbial growth, usually in a two-step modelling approach. The inverse dynamic modelling approach is an alternative method to direct modelling methods, in which the primary and secondary models are fitted simultaneously from non-isothermal data, minimising experimental effort and costs. Thus, the main aim of the present study was to compare the prediction capabilities of the mathematical modelling approaches used for calculating growth kinetics of microorganisms in predictive food microbiology field. For this purpose, the bacterial growth data of Pseudomonas spp. in oyster mushroom (Pleurotus ostreatus) subjected to isothermal and non-isothermal storage temperatures were collected from previously published growth curves. Temperature-dependent kinetic growth parameters (maximum specific growth rate 'mu (max) ' and lag phase duration 'lambda') were described as a function of storage temperature using the direct two-step, direct one-step and inverse dynamic modelling approach based on Baranyi and Huang models. The fitting capability of the modelling approaches was separately compared, and the one-step modelling approach for the direct methods provided better goodness of fit results regardless of used primary models, which leads the Huang model with being RMSE = 0.226 and R-adj(2) = 0.949 became best for direct methods. Like seen in direct methods, the Huang model gave better goodness of fit results than Baranyi model for inverse method. Results revealed there was no significant difference (p > 0.05) between the growth kinetic parameters obtained from direct one-step modelling approach and inverse modelling approaches based on the Huang model. Satisfactorily statistical indexes show that the inverse dynamic modelling approach can be reliably used as an alternative way of describing the growth behaviour of Pseudomonas spp. in oyster mushroom in a fast and minimum labour effort.
dc.identifier.doi10.1177/10820132221105476
dc.identifier.endpage640
dc.identifier.issn1082-0132
dc.identifier.issn1532-1738
dc.identifier.issue6
dc.identifier.pmid35642261
dc.identifier.scopus2-s2.0-85131397949
dc.identifier.scopusqualityQ2
dc.identifier.startpage631
dc.identifier.urihttps://doi.org/10.1177/10820132221105476
dc.identifier.urihttps://hdl.handle.net/11501/1326
dc.identifier.volume29
dc.identifier.wosWOS:000806886100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofFood Science and Technology International
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectInverse Dynamic Modelling
dc.subjectMushroom
dc.subjectGrowth Kinetics
dc.subjectPredictive Microbiology
dc.subjectMicrobiological Quality
dc.subjectListeria-Monocytogenes
dc.subjectPostharvest Quality
dc.subjectLag Phase
dc.subjectTemperature
dc.subjectValidation
dc.titleComparison of modelling approaches for the prediction of kinetic growth parameters of Pseudomonas spp. in oyster mushroom (Pleurotus ostreatus)
dc.typeArticle

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