Development of predictive growth models of Aeromonas hydrophila on raw tuna Thunnus orientalis as a function of storage temperatures

This study developed predictive growth models for Aeromonas hydrophila on raw tuna as a function of storage temperatures (2–15 °C). At these storage temperatures, the primary models fit well (R2; 0.97–0.98) with the Baranyi model to obtain lag time (LT) and specific growth rate (SGR). As the temperature increased, A. hydrophila growth increased. However, at 2 and 5 °C, no growth of A. hydrophila was observed over 7 days. The LT values were 4.99, 3.41, and 3.21 h, and SGR values were 0.02, 0.06, and 0.18 log CFU/h at 8, 11, and 15 °C, respectively. The secondary models were determined by nonlinear regression analysis; LT = 15.288–1.864 × T+0.069 × T2, SGR = 0.149–0.037 × T+0.003 × T2 (T; storage temperature). The suitability of the secondary models for LT and SGR was verified using mean square error (MSE;