Development of a Novel Growth Model Based on the Central Limit Theorem for the Determination of Beef Spoilage

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dc.authoridTARLAK, Fatih/0000-0001-5351-1865
dc.authorwosidTARLAK, Fatih/AAO-1760-2020
dc.contributor.authorTarlak, Fatih
dc.date.accessioned2024-06-13T20:18:28Z
dc.date.available2024-06-13T20:18:28Z
dc.date.issued2021
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractBackground and Objective: Currently, no published studies are available that compare central limit theorem model with traditionally used growth models in predictive food microbiology to describe bacterial growth behaviors of Pseudomonas spp. in beefs. The major objectives of the present study were to develop a novel growth model based on the central limit theorem and compare the prediction capability of the model with those of various growth models (modified Gompertz, logistic, Baranyi and Huang models) commonly used in predictive food microbiology. Material and Methods: Bacterial growth data for Pseudomonas spp. were collected from previously published studies on beefs stored at isothermal storage temperatures (0, 4, 7, 10, 15 and 20 degrees C). Temperature dependent kinetic parameters (maximum specific growth rate 'mu(max)' and lag phase duration 'lambda') collected from various primary models were described as functions of storage temperatures using Ratkowsky model. Fitting capability of the novel growth model based on the central limit theorem was compared with other growth models using mean square error and coefficient of determination. Results and Conclusion: The novel growth model developed in this study provided mean square errors less than 0.104 and coefficients of determination greater than 0.962. No significant differences (p>0.05) were seen between the statistical indices of this developed model and traditionally used growth models. Results have shown that the novel growth model based on the central limit theorem can be used to describe the growth behaviors of microorganisms as alternative to traditionally used growth models of modified Gompertz, logistic, Baranyi and Huang models in predictive food microbiology. Furthermore, this novel model can be used for the prediction of shelf-life of beefs as a function of temperature since spoilage of beefs is directly linked to the load of Pseudomonas spp.
dc.description.sponsorshipIstanbul Gedik University through the Center Supporting Scientific Research Projects
dc.description.sponsorshipThis study was financially supported by Istanbul Gedik University through the Center Supporting Scientific Research Projects. I would like to thank Asst. Prof. Emel Birol for helping this study.
dc.identifier.doi10.22037/afb.v8i2.33549
dc.identifier.endpage150
dc.identifier.issn2345-5357
dc.identifier.issn2423-4214
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85110036740
dc.identifier.scopusqualityQ3
dc.identifier.startpage143
dc.identifier.urihttps://doi.org/10.22037/afb.v8i2.33549
dc.identifier.urihttps://hdl.handle.net/11501/1380
dc.identifier.volume8
dc.identifier.wosWOS:000629678900007
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.subjectClt
dc.subjectGrowth Kinetic
dc.subjectMicrobiological Quality
dc.subjectPredictive Microbiology
dc.subjectShelf-Life
dc.subjectBacterial-Growth
dc.subjectListeria-Monocytogenes
dc.subjectLag Phase
dc.subjectTemperature
dc.subjectKinetics
dc.titleDevelopment of a Novel Growth Model Based on the Central Limit Theorem for the Determination of Beef Spoilage
dc.typeArticle

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