|
KMID : 1094720090140020202
|
|
Biotechnology and Bioprocess Engineering
2009 Volume.14 No. 2 p.202 ~ p.206
|
|
|
A Predictive Model for the Growth Rate of Bacillus cereus in Broth by Response Surface Methodology
|
|
Heo Sun-Kyung
Lee Hee-Seok
Ha Sang-Do
|
|
|
Abstract
|
|
|
|
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 40꼆C), pH (5.5 to 8.5), and the NaCl concentration (0 to 8%). The primary model showed a good fit (r2 = 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 (R2 value of 0.9486). The evaluation of RSM for describing the growth rate of B. cereus used the bias factor (Bf) and the accuracy factor (Af). Both the Bf value (1.11) and the Af 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.
|
|
|
KEYWORD
|
|
|
response surface methodology (RSM), Bacillus cereus, growth rates, predictive model, Gompertz
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|