Development of a Molecular Predictive Model of Vibrio Parahaemolyticus in Ready-to-eat Shrimps by Real-time PCR
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Abstract:
A molecular predictive model of Vibrio parahaemolyticus on ready-to-eat shrimps was developed and four Vibrio parahaemolyticus strains in ready-to-eat shrimps at 4~30 ℃ were quantitated by Real-time PCR method. Gompertz model was selected as the primary model, which was fitted to achieve maximum growth rate (MGR) for Vibrio parahaemolyticus on ready-to-eat shrimps at 10~30 ℃. The MGR was then used to establish secondary molecular models as linear model, square root model and Ratkowsky model, and these models were validated subsequently. Weibull model, Log-linear model, and Logistic model were applied to predict inactive curves of V. parahaemolyticus at 4 ℃ and 7 ℃, respectively. Results showed that the V. parahaemolyticus growth data could be well fitted by Gompertz model (R2 > 0.96). The R2 values of linear model, square root model and Ratkowsky model were all above 0.94, and the Af and Bf values were within the acceptable limit, indicating that the relationship between the growth rates of V. parahaemolyticus and storage temperatures could be well described by the models, especially the Linear model. However, Real-time PCR method could not be used to develop the inactive model of V. parahaemolyticus at 4 ℃ and 7 ℃. Accuracy molecular predictive models developed by real-time PCR method can aid to establish models of certain pathogens more accurately in the presence of other bacteria.
