Prediktif modellemelerin gıdalarla ilgili mikrobiyal çalışmalarda kullanımı
Year 2022,
Volume: 11 Issue: 3, 626 - 634, 18.07.2022
Cengiz Çetin
,
Suzan Öztürk Yılmaz
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.
References
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The use of predictive models in food related microbial studies
Year 2022,
Volume: 11 Issue: 3, 626 - 634, 18.07.2022
Cengiz Çetin
,
Suzan Öztürk Yılmaz
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.
References
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- R. Gospavic, J. Kreyenschmidt, S. Bruckner, V. Popov and N. Haque, Mathematical modelling for growth of Pseudomonas spp. in poultry under variable temperature conditions. International Journal of Food Microbiology, 127, 290-297, 2008. https://doi.org/10.1016/j.ijfoodmicro.2008.07.022.
- Z. Yang, X. Jiao, P. Li, Z. Pan, J. Huang, R. Gu, W. Fang and G. Chao, Predictive model of Vibrio parahaemolyticus growth and survival on salmon meat as a function of temperature. Food Microbiology, 26, 606–614, 2009. https://doi.org/10.1016/j.fm.2009.04.004.
- A. Singh, N. R. Korasapati, V. K. Juneja, J. Subbiah, G. Froning and H. Thippareddi, Dynamic predictive model for the growth of Salmonella spp. in liquid whole egg. Journal of Food Science, 76 (3), 225-232, 2011. https://doi.org/10.1111/j.1750-3841.2011.02074.x.
- A. Lobacz, J. Kowalik and A. Tarczynska, Modeling the growth of Listeria monocytogenes in mold-ripened cheeses. Journal of Dairy Science, 96, 3449–3460, 2013. https://doi.org/10.3168/jds.2012-5964.
- O. Ağyar ve F. Üçkardeş, Probiyotik özellikte üç farklı Laktik Asit Bakterileri grubu suşunun koloni büyüme eğrilerinin modifiye edilmiş Gompertz modeli ile modellenmesi. Türk Tarım ve Doğa Bilimleri Dergisi, 1 (3), 430-434, 2014.
- M. Kološta, A. Slottová, M. Drončovský, L. Klapáčová, V. Kmeť, D. Bujňáková, A. Lauková, G. Greif, M. Greifová and M. Tomáška, Characterisation of lactobacilli from ewe’s and goat’s a milk for their further processing re-utilisation. Potravinarstvo Scientific Journal for Food Industry, 8 (1), 130-134, 2014. https://doi.org/10.5219/354.
- E. Bednarko-Młynarczyk, J. Szteyn, I. Białobrzewski, A. Wiszniewska-Łaszczych and K. Liedtke, Modeling the kinetics of survival of Staphylococcus aureus in regional yogurt from goat’s milk. Polish Journal of Veterinary Sciences, 18 (1), 39-45, 2015. https://doi.org/10.1515/pjvs-2015-0005.
- J. Kowalik and A. Lobacz, Development of a predictive model describing the growth of Yersinia enterocolitica in Camembert-type cheese. International Journal of Food Science and Technology, 50, 811–818, 2015. https://doi.org/10.1111/ijfs.12715.
- K. S. Özdemir, Gıda ve biyoaktif gıda bileşenlerinin kaplanması: Proses ve depolama stabilitesi üzerine etkileri. Doktora Tezi, Hacettepe Üniversitesi, Fen Bilimleri Enstitüsü, Gıda Mühendisliği Anabilim Dalı, Türkiye, 2015.
- S. Kalkan, Probiyotik laktik asit bakterilerinin Staphylococcus aureus'a karşı antimikrobiyel etkilerinin farklı matematiksel modeller ile analizi. Sinop Üniversitesi Fen Bilimleri Dergisi, 1 (2), 150 – 159, 2016. ISSN: 2536-4383.
- A. Lytou, E. Z. Panagou and G.-J. E. Nychas, Development of a predictive model for the growth kinetics of aerobic microbial population on pomegranate marinated chicken breast fillets under isothermal and dynamic temperature conditions. Food Microbiology, 55, 25–31, 2016. https://doi.org/10.1016/j.fm.2015.11.009.
- E. J. Quinto, J. M. Marín and D. W. Schaffner, Effect of the competitive growth of Lactobacillus sakei MN on the growth kinetics of Listeria monocytogenes Scott A in model meat gravy. Food Control, 63, 34-45, 2016. http://doi.org/10.1016/j.foodcont.2015.11.025.
- J. Szczawiński, M. E. Szczawińska, A. Łobacz and A. Jackowska-Tracz, Modeling the effect of temperature on survival rate of Listeria monocytogenes in yogurt. Polish Journal of Veterinary Sciences, 19 (2), 317-324, 2016. https://doi.org/10.1515/pjvs-2016-0039.
- S. Vega, D. Saucedo, D. Rodrigo, C. Pina, C. Armero and A. Martĺnez, Modeling the isothermal inactivation curves of Listeria innocua CECT 910 in a vegetable beverage under low-temperature treatments and different pH levels. Food Science and Technology International, 22 (6), 525–535, 2016. https://doi.org/10.1177/1082013215624807.
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