Prediktif modellemelerin gıdalarla ilgili mikrobiyal çalışmalarda kullanımı

Year 2022, , 626 - 634, 18.07.2022

Cengiz Çetin , Suzan Öztürk Yılmaz

https://doi.org/10.28948/ngumuh.971178

Abstract

Gıdaların mikrobiyolojik kalitesini ve güvenliğini sağlama ihtiyacı, mikrobiyal davranışı ölçme ve tahmin etme maksadıyla matematiksel modellerin kullanımına olan ilgiyi artırmıştır. Son zamanlarda, gıda kaynaklı patojen bakterilerin üremesini tahmin etmek için prediktif mikrobiyoloji geliştirilmiştir. Prediktif mikrobiyoloji modelleri mikrobiyal gıda güvenliğini ve kalitesini iyileştirmek için pratik uygulamaya sahiptir. Son yıllarda prediktif modelleme yaklaşımıyla ilgili yapılan çalışma sayısında artış mevcuttur. Bu çalışmada gıda mikrobiyolojisi alanında kullanılan bazı matematiksel modellerin (prediktif modeller) kullanımı derlenmeye çalışılmıştır.

Keywords

Matematiksel modelleme, Prediktif model, Gıda, Bakteri, Raf ömrü

The use of predictive models in food related microbial studies

Abstract

The need to ensure the microbiological quality and safety of foods has increased interest in the use of mathematical models to measure and predict microbial behavior. Recently, predictive microbiology has been developed to predict the growth of foodborne pathogenic bacteria. Predictive microbiology models have practical application to improve microbial food safety and quality. In recent years, there has been an increase in the number of studies on the predictive modeling approach. In this study, the use of some mathematical models (predictive models) used in the field of food microbiology has been reviewed.

Keywords

Mathematical modeling, Predictive model, Food, Bacteria, Shelf life

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