title: Modeling and predicting the effect of temperature on the growth of Proteus mirabilis in chicken.
abstract: A predictive model to study the effect of temperature on the growth of Proteus mirabilis was developed. The growth data were collected under several isothermal conditions (8, 12, 16, 20, 25, 30, 35, 40, and 45°C) and were fitted into three primary models, namely the logistic model, the modified Gompertz model, and the Baranyi model. The statistical characteristics to evaluate the models such as R(2), mean square error, and Sawa's Bayesian information criteria (BIC) were used. Results showed that the Baranyi model performed best, followed by the logistic model and the modified Gompertz model. R(2) values for the secondary model derived from logistic, modified Gompertz, and Baranyi models were 0.965, 0.974, and 0.971, respectively. Bias factor and accuracy factor indicated that both the modified Gompertz and Baranyi models fitted the growth data better. Therefore, the Baranyi model was proposed to be the best predictive model for the growth of P. mirabilis.
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Higher Institution Engineering Research Center of Animal Product.
authors: Jingjing
authors: J
authors: Zhao
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China.
authors: Jingxian
authors: J
authors: Gao
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China.
authors: Fei
authors: F
authors: Chen
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Beijing Higher Institution Engineering Research Center of Animal Product.
authors: Fazheng
authors: F
authors: Ren
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China.
authors: Ruitong
authors: R
authors: Dai
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China.
authors: Yi
authors: Y
authors: Liu
authors: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; Synergetic Innovation Center of Food Safety and Nutrition. Electronic address: lixingmin@cau.edu.cn.
authors: Xingmin
authors: X
authors: Li
mesh_terms: D000818:Animals; D001831:Body Temperature; D002645:Chickens / Q000382:microbiology*; D015233:Models, Statistical; D011513:Proteus mirabilis / Q000254:growth & development* / Q000528:radiation effects*
keywords: Modeling; Proteus mirabilis; Temperature