Abstract:The effects of temperature on growth and prediction of growth under different temperatures were investigated with Pseudomonas aeruginosa ATCC27853 as the test microorganism，which provided the theoretical basis for its safe control in food.P.aeruginosa ATCC27853 was inoculated into TSB（tryptic soy broth）and incubated at 6，10，16，22，28，36，42，45，48，50℃，respectively.Gompertz primary growth model was built using these growth data of P.aeruginosa ATCC27853 at different temperatures by MATLAB software.Based on the parameter of Gompertz primary model，the secondary models of Ratkowsky and Hyperbola models were built using the data of the maximum specific growth rate（μmax），the lag phase duration（λ）and the growth temperatures of P.aeruginosa ATCC27853，respectively.The primary model and the two secondary models were evaluated with the determination coefficient（R2），root mean square error（RMSE），accuracy factor（Af）and bias factor（Bf）.The model validation results showed that the Gompertz primary model was fitted well and the growth of P.aeruginosa ATCC27853 at different temperatures could well predicted using the Gompertz model；the validated results of the secondary models，which were Ratkowsky model and Hyperbola model，showed that the models were effective and reliable.The experimental results showed that the values of physiological state parameter h0 for P.aeruginosa ATCC27853 at the growth temperatures of 48℃and 6℃were significantly higher than the temperatures of 10℃-45℃.The effects of growth temperatures onμmax andλcan predict the safety of this microorganism in food，which provide the theoretical basis for the safe control of ATCC27853 in food.