Comparison of Growth Prediction Models of Staphylococcus aureus at Different Temperatures in Coconut Milk

Abstract:

The study aimed to investigate the growth prediction models of Staphylococcus aureus in coconut milk at different temperatures（20，25，30 and 36 ℃）. Growth of inoculated bacteria in coconut milk was determined and modified Gompertz modified Logistic and Baranyi models were fitted by using the Matlab software. The optimal primary model was selected by comparing the residual and goodness of fit，and the growth parameters were thus obtained. The secondary model was established by square root and quadratic polynomial equations and evaluated by the correlation coefficient，the accuracy factor and the bias factor. At between 20~36 ℃ temperatures，the Baranyi model was suitable as a primary prediction model for simulating the growth of Staphylococcus aureus in coconut milk. The quadratic polynomial equation could better express the relationship between temperature and the maximum specific growth rate and the lag phase compared with the square root model. Therefore，Baranyi and quadratic polynomial models were chosen to describe the growth of Staphylococcus aureus in coconut milk at different temperatures.