Abstract—In order to study the growth characteristics of foodborne Escherichia coli, we established a prediction model of foodborne Escherichia coli in fresh-cut lettuce based on Matlab7.0. In this experiment, the prediction model can well forecast the dynamic growth of Escherichia coli 1.1187 in fresh-cut lettuce, and it provides a rapid and effective method for safety assessment of fresh-cut lettuce during storage. The growth state of Escherichia coli 1.1187 was analyzed at different temperatures (4°C, 13°C, 21°C, 29°C and 37°C). The primary prediction model was established by modified the Gompertz equation. The secondary prediction model was established by square root equation. Then the model was verified through the actual data at different temperatures (22°C and 34°C). The results showed that the primary prediction model fitting correlation coefficient is above 0.99, the bias factor and accuracy factor of secondary model is in the range of 0.90 and 1.05. At low temperature 4°C, Escherichia coli 1.1187 growth was restrained dramatically, so it is impossible for fitting by modified the Gompertz equation.