A predictive model for the growth rate of Bacillus cereus in broth by response surface methodology

被引：16

作者：

Heo, Sun-Kyung ^{[1
]}

Lee, Hee-Seok ^{[1
]}

Ha, Sang-Do ^{[1
]}

机构：

[1] Chung Ang Univ, Dept Food Sci & Technol, Ansung 456756, South Korea

来源：

BIOTECHNOLOGY AND BIOPROCESS ENGINEERING | 2009年 / 14卷 / 02期

关键词：

response surface methodology (RSM); Bacillus cereus; growth rates; predictive model; Gompertz; LISTERIA-MONOCYTOGENES; STAPHYLOCOCCUS-AUREUS; SODIUM-CHLORIDE; WATER ACTIVITY; TEMPERATURE; PH; OPTIMIZATION; KINETICS; SPORES;

D O I：

10.1007/s12257-008-0187-0

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

A response surface methodology (RSM) was developed for predicting the growth rate of Bacillus cereus in a tryptic soy broth medium as a function of temperature (10 to 40A degrees C), pH (5.5 to 8.5), and the NaCl concentration (0 to 8%). The primary model showed a good fit (r(2) = 0.920 to 0.999) to a Gompertz equation to obtain growth rates each condition. The quadratic polynomial model was found to be significant (p < 0.0001) and predicted values were found to be in good agreement with experimental values (R-2 value of 0.9486). The evaluation of RSM for describing the growth rate of B. cereus used the bias factor (B-f) and the accuracy factor (A(f)). Both the B-f value (1.11) and the A(f) value (1.50) were within acceptable ranges. This model was provided an efficient and accurate method for predicting the growth of B. cereus as a function of the controlling factors.

引用

页码：202 / 206

页数：5

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