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Title 

Predictive modeling for the growth of Listeria monocytogenes as a function of temperature, NaCL, and pH

Authors 

S Y ParkJ W ChoiJ YeonM J LeeD H ChungMin-Gon KimK H LeeK S KimD H LeeG J BahkD H BaeK Y KimC H KimS D Ha

Publisher 

The Korean Society for Applied Microbiology

Issue Date 

2005

Citation 

Journal of Microbiology and Biotechnology, vol. 15, no. 6, pp. 1323-1329

Keywords 

listeria monocytogenesNaClPHsurface response models temperaturebacterial growthbacterium cultureconcentration (parameters)concentration responsegrowth rateincubation temperature

Abstract 

A mathematical model was developed for predicting the growth kinetics of Listeria monocytogenes in tryptic soy broth (TSB) as a function of combined effects of temperature, 6pH, and NaCl. The TSB containing four different concentrations of NaCl (2, 4, 5, and 10%) was initially adjusted to six different pH levels (pH 5, 6, 7, 8, 9, and 10) and incubated at 4, 10, 25, or 37°C. In all experimental variables, the primary growth curves were well fitted (r2=0.982 to 0.998) to a Gompertz equation to obtain the lag time (LT) and specific growth rate (SGR). Surface response models were identified as appropriate secondary models for LT and SGR on the basis of coefficient determination (r2=0.907 for LT, 0.964 for SGR), mean square error (MSE=3.389 for LT, 0.018 for SGR), bias factor (Bf=0.706 for LT, 0.836 for SGR), and accuracy factor (Af=1.567 for LT, 1.213 for SGR). Therefore, the developed secondary model proved reliable predictions of the combined effect of temperature, NaCl, and pH on both LT and SGR for L. monocytogenes in TSB.

ISSN 

1017-7825

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2017-04-19


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