Effect of temperature on the growth kinetics and predictive growth model of Aeromonas hydrophila on squid (Sepioteuthis sepioidea)

초록

This study developed a predictive growth model of Aeromonas hydrophila on fresh squids as a storage temperature (5A degrees C-40A degrees C). The primary models of specific growth rates (SGR) and lag time (LT) fit well (R (2)a parts per thousand yen0.973). Secondary polynomial models were obtained by non-linear regression and calculated as: SGR=0.05152+0.00337*T+ 0.00039*T-2; LT=50.51030?2.56290*T+0.03446*T-2. The appropriateness of the secondary model was verified by mean square error (MSE; 0.006 for SGR, 0.256 for LT), bias factor (B (f) ; 0.999 for SGR, 1.007 for LT), accuracy factor (A (f) ; 1.025 for SGR, 1.026 for LT), and coefficient of determination (r (2); 0.991 for SGR, 0.993 for LT). The secondary model is therefore in good agreement with the validation and may be used as a practical prediction for A. hydrophila growth on squid. Ultimately, the developed models are of importance in reducing A. hydrophila levels in the seafood production, processing, and distribution.

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