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http://dx.doi.org/10.5851/kosfa.2012.32.1.62

Application of Probabilistic Model to Calculate Probabilities of Escherichia coli O157:H7 Growth on Polyethylene Cutting Board  

Lee, Joo-Yeon (Korea Livestock Products HACCP Accreditation Service)
Suk, Hee-Jin (Korea Livestock Products HACCP Accreditation Service)
Lee, Hee-Young (Department of Food and Nutrition, Sookmyung Women's University)
Lee, Soo-Min (Department of Food and Nutrition, Sookmyung Women's University)
Yoon, Yo-Han (Department of Food and Nutrition, Sookmyung Women's University)
Publication Information
Food Science of Animal Resources / v.32, no.1, 2012 , pp. 62-67 More about this Journal
Abstract
This study calculated kinetic parameters of Escherichia coli O157:H7 and developed a probabilistic model to estimate growth probabilities of E. coli O157:H7 on polyethylene cutting boards as a function of temperature and time. The surfaces of polyethylene coupons ($3{\times}5$ cm) were inoculated with E. coli O157:H7 NCCP11142 at 4 Log $CFU/cm^2$. The coupons were stored at 13 to $35^{\circ}C$ for 12 h, and cell counts of E. coli O157:H7 were enumerated on McConkey II with sorbitol agar every 2 h. Kinetic parameters (maximum specific growth rate, Log $CFU/cm^2/h$; lag phase duration, h; lower asymptote, Log $CFU/cm^2$; upper asymptote, Log $CFU/cm^2$) were calculated with the modified Gompertz model. Of 56 combinations (temperature${\times}$time), the combinations that had ${\geq}$0.5 Log $CFU/cm^2$ of bacterial growth were designated with the value of 1, and the combinations that had increases of <0.5 Log $CFU/cm^2$ were given the value 0. These growth response data were fitted to the logistic regression to develop the model predicting probabilities of E. coli O157:H7 growth. Specific growth rate and growth data showed that E. coli O157:H7 cells were grown at $28-35^{\circ}C$, but there were no obvious growth of the pathogen below $25^{\circ}C$. Moreover, the developed probabilistic model showed acceptable performance to calculate growth probability of E. coli O157:H7. Therefore, the results should be useful in determining upper limits of working temperature and time, inhibiting E. coli O157:H7 growth on polyethylene cutting board.
Keywords
Escherichia coli O157:H7; probabilistic model; predictive model; cutting board;
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