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Title 

Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model

Authors 

K Y SeoS K HeoC LeeD H ChungMin-Gon KimK H LeeK S KimG J BahkD H BaeK Y KimC H KimS D Ha

Publisher 

The Korean Society for Applied Microbiology

Issue Date 

2007

Citation 

Journal of Microbiology and Biotechnology, vol. 17, no. 9, pp. 1437-1444

Keywords 

growth ratesresponse surface modelstaphylococcus aureusbacterial growthbacterial kineticsconcentration responsegrowth curvegrowth ratemathematical modelresponse surface method

Abstract 

A response surface model was developed for predicting the growth rates of Staphylococcus aureus in tryptic soy broth (TSB) medium as a function of combined effects of temperature, pH, and NaCl. The TSB containing six different concentrations of NaCl (0, 2, 4, 6, 8, and 10%) was adjusted to an initial of six different pH levels (pH 4, 5, 6, 7, 8, 9, and 10) and incubated at 10, 20, 30, and 40°C. In all experimental variables, the primary growth curves were well (r2=0.9000 to 0.9975) fitted to a Gompertz equation to obtain growth rates. The secondary response surface model for natural logarithm transformations of growth rates as a function of combined effects of temperature, pH, and NaCl was obtained by SAS's general linear analysis. The predicted growth rates of the S. aureus were generally decreased by basic (pH 9-10) or acidic (pH 5-6) conditions and higher NaCl concentrations. The response surface model was identified as an appropriate secondary model for growth rates on the basis of correlation coefficient (r=0.9703), determination coefficient (r2=0.9415), mean square error (MSE=0.0185), bias factor (Bf=1.0216), and accuracy factor (Af=1.2583). Therefore, the developed secondary model proved reliable for predictions of the combined effect of temperature, NaCl, and pH on growth rates for S. aureus in TSB medium.

ISSN 

1017-7825

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2017-04-19


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