KMID : 0881720110260020120
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Journal of Food Hygiene and Safety 2011 Volume.26 No. 2 p.120 ~ p.124
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Predictive mathematical model for the growth kinetics of Listeria monocytogenes on smoked salmon
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Cho Joon-Il
Lee Soon-Ho Lim Ji-Su Kwak Hyo-Sun Hwang In-Gyun
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Abstract
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Predictive mathematical models were developed for predicting the kinetics of growth of Listeria monocytogenes in smoked salmon, which is the popular ready-to-eat foods in the world, as a function of temperature (4, 10, 20 and ). At these storage temperature, the primary growth curve fit well (=0.989~0.996) to a Gompertz equation to obtain specific growth rate (SGR) and lag time (LT). The Polynomial model for natural logarithm transformation of the SGR and LT as a function of temperature was obtained by nonlinear regression (Prism, version 4.0, GraphPad Software). Results indicate L. monocytogenes growth was affected by temperature mainly, and SGR model equation is and LT model equation is . As storage temperature decreased to , SGR decreased and LT increased respectively. Polynomial model was identified as appropriate secondary model for SGR and LT on the basis of most statistical indices such as bias factor (1.01 by SGR, 1.55 by LT) and accuracy factor (1.03 by SGR, 1.58 by LT).
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KEYWORD
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Listeria monocytogenes, smoked salmon, predictive model, Gompertz model, Polynomial model
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