Response surface model for prediction of growth parameters from spores of Clostridium sporogenes under different experimental conditions

被引:55
作者
Dong, Qingli [1 ]
Tu, Kang [1 ]
Guo, Liyang [1 ]
Li, Hongwen [1 ]
Zhao, Yan [1 ]
机构
[1] Nanjing Agr Univ, Coll Food Sci & Technol, MOA, Keu Lab Foos Proc & Qual Control, Nanjing, Peoples R China
关键词
predictive microbiology; Clostridium sporogenes; response surface model;
D O I
10.1016/j.fm.2006.12.003
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
Clostridium sporogenes is considered to be a non-toxingenic equivalent of proteolytic Clostridium botulinium, and it also causes food spoilage. The effects of temperature (16.6-33.4 degrees C), pH value (5.2-6.8) and concentration of sodium chloride (0.6-7.4%) on the growth parameters of C sporogenes spores were investigated. The growth curves generated within different conditions were fitted using Baranyi function. Two growth parameters (growth rate, GR; lag-time, LT) of the growth curves under combined effects of temperature, pH and sodium chloride were modeled using a quadratic polynomial equation of response surface (RS) model. Mathematical evaluation demonstrated that the standard error of prediction (%SEP) obtained by RS model was 1.033% for GR and was 0.166% for LT for model establishing. The %SEP for model validation were 43.717% and 5.895% for GR and LT, respectively. The root-mean-squares error (RMSE) was in acceptable range which was less than 0.1 for GR and was less than 8.0 for LT. Both the bias factor (B-f) and accuracy factor (A(f)) approached 1.0, which were within acceptable range. Therefore, RS model provides a useful and accurate method for predicting the growth parameters of C sporogenes spores, and could be applied to ensure food safety with respect to proteolytic C botulinum control. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:624 / 632
页数:9
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