Predictive modelling for the growth kinetics of Pseudomonas spp. on button mushroom (Agaricus bisporus) under isothermal and non-isothermal conditions

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dc.contributor.authorTarlak, Fatih
dc.contributor.authorÖzdemir, Murat
dc.contributor.authorMelikoğlu, Mehmet
dc.date.accessioned2024-06-13T20:18:01Z
dc.date.available2024-06-13T20:18:01Z
dc.date.issued2020
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.description.abstractBaranyi model was fitted to experimental growth data of Pseudomonas spp. on the button mushrooms (Agaricus bisporus) stored at different isothermal conditions (4, 12, 20 and 28 degrees C), and the kinetic growth parameters of Pseudomonas spp. on the button mushrooms were obtained. The goodness of fit of the Baranyi model was evaluated by considering the root mean squared error (RMSE) and the adjusted coefficient of determination (adjusted-R-2). The Baranyi model gave RMSE values lower than 0.193 and adjusted-R-2 values higher than 0.975 for all isothermal storage temperatures. The maximum specific growth rate (mu(max)) was described as a function of temperature using secondary models namely, Ratkowsky and Arrhenius models. The Ratkowsky model described the temperature dependence of mu(max) better than the Arrhenius model. Therefore, the differential form of the Baranyi model was merged with the Ratkowsky model, and solved numerically using the fourth-order Runge-Kutta method to predict the concentration of Pseudomonas spp. populations on button mushrooms under non-isothermal conditions in which they are frequently subjected to during storage, delivery and retail marketing. The validation performance of the dynamic model used was assessed by considering bias (B-f) and accuracy (A(f)) factors which were found to be 0.998 and 1.016, respectively. The dynamic model developed also exhibited quite small mean deviation (MD) and mean absolute deviation (MAD) values being - 0.013 and 0.126 log CFU/g, respectively. The modelling approach used in this work could be an alternative to traditional enumeration techniques to determine the number of Pseudomonas spp. on mushrooms as a function of temperature and time.
dc.description.sponsorshipGebze Technical University [BAP 2014 A-25, BAP 2015 A-40] ; Scientific and Technological Research Council of Turkey (TUBITAK) [2219]
dc.identifier.doi10.1016/j.foodres.2019.108912
dc.identifier.issn0963-9969
dc.identifier.issn1873-7145
dc.identifier.pmid32156357
dc.identifier.scopus2-s2.0-85076848200
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.foodres.2019.108912
dc.identifier.urihttps://hdl.handle.net/11501/1158
dc.identifier.volume130
dc.identifier.wosWOS:000521512900020
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorTarlak, Fatih
dc.institutionauthorid0000-0001-5351-1865
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofFood Research International
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPredictive Microbiology
dc.subjectMicrobiological Change
dc.subjectDynamic Condition
dc.subjectGrowth Behaviour
dc.titlePredictive modelling for the growth kinetics of Pseudomonas spp. on button mushroom (Agaricus bisporus) under isothermal and non-isothermal conditions
dc.typeArticle

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