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Application of microbiological models for L.monocytogenes in salt solution

Abstract

We conducted a study on the use of predictive growth models of a pure L.monocytogenes culture in Fraser broth with various concentrations of NaCl In this article. L.monocytogenes strain ATCC 19111 was used in the study. The obtained growth curves were evaluated using the primary Barani and Roberts models, the trilinear model in ComeBase also in the IPMP program using Barani, Gompertz Huang and Buchanan models. In the course of mathematical calculations, it was noted that the best results were obtained using the Gompertz and Barani models.

About the Authors

I. E. Labazava
RUE «Scientific and Practical Center for Foodstuffs of the National Academy of Sciences of Belarus»
Belarus

Labazava Iryna E. — PhD (Chemist) the head of the Microbiological laboratory of the Republican control and testing complex for foodstuffs quality and safety

29, Kozlova str., 220037, Minsk, Republic of Belarus



I. M. Pochitskaja
RUE «Scientific and Practical Center for Foodstuffs of the National Academy of Sciences of Belarus»
Belarus

Pochitskaya Iryna M. — Ph.D. (Agricultural), the head of the Republican control and testing complex for foodstuffs quality and safety

29, Kozlova str., 220037, Minsk, Republic of Belarus



References

1. Stringer M. Chilled and Frozen Food. St. Petersburg: Profession, 2004, 496 p. (in Russian).

2. Efimochkina N.R. Emergent bacterial pathogens in food microbiology. Moscow: Publishing House of the Russian Academy of Medical Sciences, 2008, 256 р. (in Russian).

3. Tartakovsky I.S. Listeria: a role in human infectious pathology and laboratory diagnosis. Clinical Microbiology and Antimicrobial Chemotherapy, 2000, no. 2, рр. 20–30 (in Russian).

4. Pйrez-Rodriguez F, Valero A. Predictive Microbiology in Foods. Springer Briefs in Food, Health, and Nutrition, New York, USA, 2013, 128 р.

5. Krasnova M.A. Study of the dynamics of the development of microorganisms at various temperatures to create a model for predicting the shelf life of chilled meat. All-Russian Youth Scientific Conference with International Participation: Modern Problems of Fundamental and Applied Sciences, 2011, рр. 30–36 (in Russian).

6. Hwang L. Growth kinetics of Listeria monocytogenes in broth and beef frankfurters — determination of lag phase duration and exponential growth rate under isothermal conditions. Journal of Food Science, 2008, vol. 73, pp. 235–242.

7. Hwang L. Thermal inactivation of Listeria monocytogenes in ground beef under isothermal and dynamic temperature conditions. Journal of Food Engineering, 2009, pp. 380–387.

8. Hwang L. Evaluating the effect of temperature on microbial growth rate — the Ratkowsky and a Belehrбdek type. Journal of Food Science, 2009, vol. 76, pp. 547–557.

9. Hwang L. Effect of temperature on microbial growth rate — thermodynamic analysis, the Arrhenius and Eyring-Polanyi connection. Journal of Food Science, 2009, vol. 76, pp. 553–560.

10. Hwang L. Optimization of a new mathematical model for bacterial growth. Food Control, 2013, vol. 32, pp. 283–288.

11. Baranyi J. Mathematics of predictive microbiology. International Journal of Food Microbiology, 1995, vol. 26, pp. 199–218.

12. Buchanan R., Golden M. Model for the non thermal inactivation of Listeria monocytogenes in a reduced oxygen environment. Food Microbiology, 1995, no. 12, pp. 230–212.

13. Buchanan R., Whiting R., Damert W. When is simple good enough: a comparison of the Gompertz, Baranyi, and three phase linear models for fitting bacterial growth curves. Food Microbiology, 1997, vol. 14, pp. 313–326.

14. Baranyi J., Roberts T. A non-autonomous differential equation to model bacterial growth. International Journal of Food Microbiology, 1993, no. 10, pp. 43–59.

15. Albarracнn W., Sбnchez I, Grau R, Barat M. Salt in food processing; usage and reduction. Journal of Food Science Technology, 2011, vol. 46 (7), pp. 1329–1336.

16. Dalgaard P. Modelling of microbial growth. International Dairy Federation, 2009, no. 43, рр. 45–60.

17. Dalgaard P., Koutsoumanis J. Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical models. Journal Microbiology Methods, 2001, no. 43, pp. 183–196.

18. Le Marc Y., Huchet V., Bourgeois C.M., Guyonnet J.P., Mafart P., Thuault D. Modelling the growth kinetics of Listeria as a function of temperature, pH and organic acid concentration. Journal Food Microbiology, 2002, no. 73 (2–3), pp. 219–237.

19. Mejlholm O., Dalgaard P. Modeling and predicting the growth boundary of Listeria monocytogenes in lightly preserved seafood. Journal Food Protection, 2007, no. 70 (1), pp. 70–84.

20. Mejlholm O., Gunvig A., Borggaard C., Blom-Hanssen J., Mellefont L., Ross T., Leroi F., Else T., Visser D., Dalgaard P. Predicting growth rates and growth boundary of Listeria monocytogenes an international validation study with focus on processed and ready-to-eat meat and seafood. International Journal Food Microbiology, 2010, no. 141 (3), pp. 137–150.


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For citations:


Labazava I.E., Pochitskaja I.M. Application of microbiological models for L.monocytogenes in salt solution. Food Industry: Science and Technology. 2020;13(1):54-62. (In Russ.)

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ISSN 2073-4794 (Print)