Establishment of Growth Predictive Model of Staphylococcus aureus in Liangpi
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Abstract:
The growth curve of Staphylococcus aureus was fitted based on the Baranyi model, modified Gompertz model and Huang model to investigate the growth of Staphylococcus aureus in a traditional food Liangpi by determining the growth data at 5 oC, 10 oC, 15 oC, 20 oC and 25 oC. The correlation coefficients and parameters of the three models were compared, and the maximum specific growth rate (μmax) and lag phase (λ) obtained by the primary model were used to establish a temperature-dependent secondary model. The results showed that the bias factor (Bf) and accuracy factor (Af) of the primary model established by the modified Gompertz model were within a reasonable range. The square root model of temperature was established by using μmax and λ fitted by the modified Gompertz model, and the fitting R2 is 0.80 and 0.88, indicating that the Modified Gompertz model was most suitable for fitting growth curve. In addition, the variance analysis of the secondary model showed that the model could effectively predict the growth of S.aureus in Liangpi. This study provided theoretical basis for the quantitative risk assessment of S. aureus in Liangpi.
