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Predictive Growth Model of Native Isolated Listeria monocytogenes on raw pork as a Function of Temperature and Time  

Hong, Chong-Hae (Department of Veterinary Medicine, Kangwon National University)
Sim, Woo-Chang (Korea Health Industry Development Institute)
Chun, Seok-Jo (Korea Health Industry Development Institute)
Kim, Young-Su (Korea Health Industry Development Institute)
Oh, Deog-Hwan (School of Biotechnology and Bioengineering, Kangwon National University)
Ha, Sang-Do (Department of Food Science and Technology, Chung-Ang University)
Choi, Weon-Sang (Department of Biotechnology, College of Natural Sciences, Dongguk University)
Bahk, Gyung-Jin (Korea Health Industry Development Institute, National Food Safety & Toxicology Center and the Food Safety Policy Center, Michigan State University)
Publication Information
Korean Journal of Food Science and Technology / v.37, no.5, 2005 , pp. 850-855 More about this Journal
Abstract
Model was developed to predict the growth of Listeria monocytogenes in raw pork. Experiment condition for model development was full 5-by-7 factorial arrangements of temperature (0, 5, 10, 15, and $20^{\circ}C$) and time (0, 1, 2, 3, 18, 48, and 120 hr). Gompertz values A, C, B, and M, and growth kinetics, exponential growth rate (EGR), generation time (GT), lag phase duration (LPD), and maximum population density (MPD) were calculated based on growth increased data. GT and LPD values gradually decreased, whereas EGR value gradually increased with increasing temperature. Response surface analysis (RSA) was carried out using Gompertz B and M values, to formulate equation with temperature being main control factor. This equation was applied to Gompertz equation. Experimental and predictive values for GT, LPD, and EGR, compared using the model, showed no significant differences (p<0.01). Proposed model could be used to predict growth of microorganisms for exposure assessment of MRA, thereby allowing more informed decision-making on potential regulatory actions of microorganisms in raw pork.
Keywords
predictive growth model; Listeria monocytogenes; raw pork;
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