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Estimation of Shelf Life with Respect to Bacillus cereus Growth in Tteokgalbi at Various Temperatures Using Predictive Models
Author(s) -
Heo Chan,
Kim Hyun Wook,
Ko Kyung Yuk,
Kim KeeTae,
Paik HyunDong
Publication year - 2014
Publication title -
journal of food safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 43
eISSN - 1745-4565
pISSN - 0149-6085
DOI - 10.1111/jfs.12124
Subject(s) - shelf life , cereus , bacillus cereus , predictive value , mathematics , food science , flavor , growth rate , contamination , estimation , statistics , environmental science , biology , ecology , engineering , medicine , genetics , geometry , bacteria , systems engineering
Predictive models to describe the growth of B acillus cereus in tteokgalbi were developed during storage under various temperatures (5–25C) and inoculation levels (2 and 3 log) to estimate the shelf life. To develop primary models, the observed data were applied to the B aranyi and G ompertz equations. The growth rate was dependent on temperature, but the effect of inoculation level on growth rate was not significant ( P > 0.05). Thus, the secondary polynomial model was developed as a function of temperature. At 5C, the predicted shelf life of tteokgalbi was approximately 65.5–73.2 h. The shelf life at 15 or 25C decreased sharply during storage, and was less than 20 h during storage. All primary and polynomial secondary models were characterized by high R 2 values, small root mean square error values and very ideal values of B f and A f . These results present reliable predictive growth models describing the growth of B . cereus under various temperature conditions in tteokgalbi . Practical Applications Many traditional homemade foods have been industrialized at recent days. Tteokgalb i is the most popular processed pork product in K orea, and the acceptability of consumers is high because of its good flavor and nutritional value. During industrial production, the possibility of contamination of pathogens including B acillus cereus can be high through manufacture and distribution. The predictive model in this study can be used to control the possibility of contamination for safety of tteokgalb i as basic information.