Evaluating the Effect of Temperature on Microbial Growth Rate-The Ratkowsky and a Bělehrádek-Type Models

Journal of Food Science

Volumn 76, Issue 8, 2011, Pages

  Huang, Lihan ^a   Hwang, Cheng An ^a   Phillips, John ^a  

^a EASTERN REGIONAL RESEARCH CENTER   (United States)

Author keywords

Predictive microbiology; Ratkowsky model; Secondary models; Square root model

Indexed keywords

ANIMAL; ARTICLE; BACTERIAL COUNT; BACTERIUM; BAYES THEOREM; CHICKEN; COMPARATIVE STUDY; FOOD CONTROL; GROWTH, DEVELOPMENT AND AGING; MEAT; METHODOLOGY; MICROBIOLOGY; NONLINEAR SYSTEM; REGRESSION ANALYSIS; REPRODUCIBILITY; TEMPERATURE; THEORETICAL MODEL;

ANIMALS; BACTERIA; BAYES THEOREM; CHICKENS; COLONY COUNT, MICROBIAL; FOOD MICROBIOLOGY; MEAT; MODELS, THEORETICAL; NONLINEAR DYNAMICS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; TEMPERATURE;

BACTERIA (MICROORGANISMS);

EID: 80054733912     PISSN: 00221147     EISSN: 17503841     Source Type: Journal    
DOI: 10.1111/j.1750-3841.2011.02345.x     Document Type: Article

References (30)

1. Bajard S, Rosso L, Fardel G, Flandrois JP. 1996. The particular behavior of Listeria monocytogenes under sub-optimal conditions. Int Food Microbiol 29:201-11.
2. Baranyi J, Pin C, Ross T. 1999. Validating and comparing predictive models. Int Food Microbiol 48:159-66.
3. Baranyi J, Robinson TP, Kaloti A, Macky BM. 1995. Predicting growth of Brochothrix thermosphacta at changing temperature. Int Food Microbiol 27:61-75.
4. Buchanan RL and Bagi LK 1994. Expansion of response surface models for the growth of Escherichia coli O157:H7 to include sodium nitrite as a variable. Int J Food Microbiol 23:317-22.
5. Dantigny P, Molin P. 2000. Influence of the modeling approach on the estimation of the minimum temperature for growth in Bělehrádek-type models. Food Microbiol 17:597-604.
6. Davey KR. 1994. Modelling the combined effect of temperature and pH on the rate coefficient for bacterial growth. Int Food Microbiol 23:295-303.
7. Diez-Gonzalez F, Belina D, Labuza TP, Pal A. 2007. Modeling the growth of Listeria monocytogenes based on a time to detect model in culture media and frankfurters. Int Food Microbiol 113:277-83.
8. Dominguez SA, Schaffner DW. 2007. Development and validation of a mathematical model to describe the growth of Pseudomonas spp. in raw poultry stored under aerobic conditions. Int Food Microbiol 120:287-95.
9. Gospavic R, Kreyenschmidt J, Bruckner S, Popov V, Haque N. 2008. Mathematical modelling for predicting the growth of Pseudomonas spp. in poultry under variable temperature conditions. Int Food Microbiol 127:290-7.
10. Heitzer A, Kohler HE, Reichert P, Hamer G. 1991. Utility of phenomenological models for describing temperature dependence of bacterial growth. Appl Enviro Microbiol 57:2656-65.
11. Huang L. 2010a. A new mechanistic growth model for simultaneous determination of lag phase duration and exponential growth rate and a new Bělehrádek-type model for evaluating the effect of temperature on growth rate. Food Microbiol 28:770-6.
12. Huang L. 2010b. Growth kinetics of Escherichia coli O157:H7 in mechanically-tenderized beef. Int Food Microbiol 140:40-8.
13. International Commission on Microbiological Specifications for Foods (ICMSF). 1996. Listeria monocytogenes. In: Robert TA, Baird-Parker AC, Tompkin RB, editors. Microorganisms in foods 5: characteristics of microbial pathogens. London Blackie Academic and Professional. p. 148.
14. Juneja VK, Melendres MV, Huang L, Subbiah J, Thippareddi H. 2009. Mathematical modeling of growth Salmonella in raw ground beef under isothermal conditions from 10 to 45°C. Int Food Microbiol 131:106-11.
15. Koseki S, Isobe S. 2005a. Growth of Listeria monocytogenes on iceberg lettuce and solid media. Int Food Microbiol 101:217-25.
16. Koseki S, Isobe S. 2005b. Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table. Int Food Microbiol 104:239-48.
17. Mackey BM, Kerridge AL. 1988. The effect of incubation temperature and inoculum size on growth of salmonellae in minced beef. Int Food Microbiol 6:57-65.
18. McMeekin TA, Chandler RE, Doe PE, Garland CD, Olley J, Putro S, Ratkowsky DA. 1987. Model for the combined effect of temperature and salt concentration/water activity on the growth rate of Staphylococcus xylosus. J Appl Bacteriol 62:543-50.
19. McMeekin TA, Olley J, Ross TA, Ratkowsky DA. 1993. Predictive microbiology: theory and application. Taunton, UK Research Studies Press.
20. Mollaret H., Thal E. 1974. Yersinia. In: Buchanan R.E., Gibbons N.E., editors. Bergey's manual of determinative bacteriology. 8th edition. Baltimore, Md. Williams & Williams. p 330-2.
21. Oscar TP. 2002. Development and validation of a tertiary simulation model for predicting the potential growth of Salmonella typhimurium on cooked chicken. Int Food Microbiol 76:177-90.
22. Pinon A, Zwietering M, Perrier L, Membre J, Leporq B, Mettler E, Thuault D, Coroller L, Stahl V, Vialette M. 2004. Development and validation of experimental protocols for use of Cardinal models for prediction of microorganism growth in food products. Appl Enviro Microbiol 70:1081-7.
23. Ratkowsky DA, Olley J, McMeekin TA, Ball A. 1982. Relationship between temperature and growth rate of bacterial cultures. J Bacteriol 149:1-5.
24. Ratkowsky DA, Olley J, Ross T. 2005. Unifying temperature effects on the growth rate of bacteria and the stability of globular proteins. J Theoretical Biol 233:351-62.
25. Ratkowsky DA, Lowry RK, MeMeekin TA, Stokes AN, Chandler RE. 1983. Model for bacterial culture growth rate through the entire biokinetic temperature range. J Bacteriol 154:1222-6.
26. Ross T. 1993. Bělehrádek-type models. J Ind Microbiol 12:180-9.
27. Ross T. 1996. Indices for performance of predictive models in food microbiology. J Appl Bacteriol 81:501-8.
28. Stannard CJ, Williams AP, Gibbs PA. 1985. Temperature/growth relationship for psychrotrophic food-spoilage bacteria. Food Microbiol 2:115-22.
29. Sutherland JP, Bayliss AJ, Braxton DS. 1995. Predictive modelling of growth of Escherichia coli 0157:H7: the effects of temperature, pH and sodium chloride. Int Food Microbiol 25:29-49.
30. von Boekel MAJS, Zwietering MH. 2007. Experimental design, data processing and model fitting in predictive microbiology. In: Brul S, van Gerwen S, Zwietering M, editors. Modelling microorganisms in food. Boca Raton, Fla. CRC Press.