Development of Predictive Model for Combined Effect of Temperature and Salinity on the Growth of Vibrio parahaemolyticus
- VernacularTitle:副溶血性弧菌温度-盐度双因素预测模型的建立
- Author:
Tao LI
;
Xi-Bin NING
;
- Publication Type:Journal Article
- Keywords:
Predictive Model, Vibrio parahaemolyticus, Uniform Design
- From:
Microbiology
2008;0(08):-
- CountryChina
- Language:Chinese
-
Abstract:
Based on the standard strain-Vibrio parahaemolyticus BJ1.1997, temperature (7?C～43?C) and salinity (0.5%～9.5% NaCl) which affected its growth status was studied with uniform design. The results showed that Logistic equation was optimal in primary models, the second was Gompertz equation, the last was Linear equation, so growth parameters can calculated from Logistic equation. The secondary model was developed by square root models, its r value was 0.9863, the lowest growth temperature was 9.0506?C and the highest growth salinity was 5.93% [the corresponding lowest growth water activity (Aw min) was 0.9227]. Through F test, residual analysis and evaluation by bias factor and accuracy factor, the model can exactly describe the relationship between the growth rate and combined effect of temperature and salinity (water activity).
