Predictive Modelling for Shelf-Life Determination of Chilled Beef Based on Predictive Microbiology
ZHANG Yuhua, MENG Yi, GUO Fengjun, CHEN Dongjie
National Engineering Research Center for Agricultural Products Logistics, Shandong Key Laboratory of Storage and Transportation Technology of Agricultural Products, Shandong Institute of Commerce and Technology, Jinan 250103, China
Abstract：In order to monitor the quality change and shelf-life of chilled beef during storage, the number of Pseudomonas, total volatile basic nitrogen content and sensory score of chilled beef during storage at 0, 4, 7 or 10 ℃ were measured. The growth data of Pseudomonas were fitted to the modified Gompertz equation. The Belehradek equation was used as a secondary model to describe the influence of storage temperature on the growth of Pseudomonas. The accuracy of the shelflife prediction model was verified by applying it on chilled beef stored at 2, 5 or 8 ℃. The results showed that the correlation coefficients of the Gompertz model established were all above 0.99. The accuracy of the prediction results ranged from 1.013 to 1.126, and the deviation degree from 0.926 to 1.057. There was a good linear relationship between storage temperature and μmax 1/2 and (1/λ)1/2, indicating that the primary and secondary models could accurately predict the growth of Pseudomonas in chilled beef at 0–10 ℃. The relative error between the predicted and measured values of shelf-life was within ± 10 %. The model could effectively predict the shelf-life of chilled beef at temperatures from 0 to 10 ℃.
2019, Vol. 33 
