An automated turbidimetric system, Bioscreen C, was used to monitor the growth of Pseudomonas aeruginosa, which was separated from spoilage pork at a range of temperature (25~40℃), pH (5.0~7.5) and mass concentration of sodium lactate (0~0.035g/mL). The cardinal parameters model (CPM) was built on the basis of nonlinear least squares method using fminsearch function of Matlab software, and CPM represented the lag time of P.aeruginosa growth as a function of temperature, pH value and sodium lactate mass concentration. The CPM is able to determine the cardinal parameters Tmin, Topt, Tmax, Pmin, Popt, Pmax and the minimum inhibitory concentration of sodium lactate, respectively. This model was validated with ten random data within above ranges. The results showed that the growth parameters are predicted well by CPM with R2=0.9291, Bf=1.0975, Af=1.3936, and E= 1.5989, respectively. The validation parameters are 0.8546, 1.1225 and 1.2117 for R2, Bf and Af, respectively.