Development of a Prediction Software for the Growth Kinetics of Pseudomonas spp. in Culture Media using Various Primary Models

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dc.authoridyücel, özgün/0000-0001-8916-2628
dc.authoridyücel, özgün/0000-0001-8916-2628
dc.authorwosidyücel, özgün/AAE-3071-2020
dc.authorwosidyücel, özgün/JAN-6493-2023
dc.contributor.authorTarlak, Fatih
dc.contributor.authorYucel, Ozgun
dc.date.accessioned2024-06-13T20:18:28Z
dc.date.available2024-06-13T20:18:28Z
dc.date.issued2023
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractBackground and Objective: Pseudomonas spp. are bacteria with the widest effects on food spoilage. These bacteria can be found in several environments such as soil and water. The major purpose of this study was to develop a software; by which, the growth behaviours of Pseudomonas spp. in culture media could be predicted.Material and Methods: A total number of 509 bacterial data points of Pseudomonas spp. in culture media were collected from the ComBase database. Temperature and pH were used as the major prediction variables for the description of Pseudomonas spp. behaviours in culture media. Modified Gompertz, Baranyi and Huang models, the most commonly used models in predictive food microbiology to predict the count of microorganisms, were used as well. Fitting capability of each model was assessed and compared with other capabilities considering their statistical indices of the root mean square error, RMSE; coefficient of determination, R2; corrected Akaike information criterion, AICc; and Bayesian information criterion, BIC.Results and Conclusion: Huang model provided better predictions with 0.951 of R2 and 0.825 of RMSE, compared to those of traditionally used models. Prediction capability of the Huang model was assessed considering externally collected data from the ComBase database. Huang model in the validation process provided satisfactory statistical indices (bias factor = 1.027 and accuracy factor = 1.075). These results have revealed that Huang model can be reliably used as a model of describing the growth behaviours of Pseudomonas spp. Furthermore, developed software in this study includes significant potentials for predicting Pseudomonas counts in culture media.
dc.identifier.doi10.22037/afb.v10i1.39780
dc.identifier.endpage8
dc.identifier.issn2345-5357
dc.identifier.issn2423-4214
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85152279400
dc.identifier.scopusqualityQ3
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.22037/afb.v10i1.39780
dc.identifier.urihttps://hdl.handle.net/11501/1379
dc.identifier.volume10
dc.identifier.wosWOS:000919661500001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherShahid Beheshti Univ Medical Sciences, Fac Med
dc.relation.ispartofApplied Food Biotechnology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject? Culture Media
dc.subject? Growth Kinetics
dc.subject? Predictive Food
dc.subjectMicrobiology
dc.subject? Pseudomonas Spp
dc.subjectBacterial-Growth
dc.subjectTemperature
dc.subjectStorage
dc.titleDevelopment of a Prediction Software for the Growth Kinetics of Pseudomonas spp. in Culture Media using Various Primary Models
dc.typeArticle

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