The present study aimed to develop growth prediction models of Listeria monocytogenes in processed meat products, such as mixed pressed hams, to perform accurate microbial risk assessments. Considering cold storage temperatures and the amount of time in the stages of consumption after opening, the growth of L. monocytogenes was determined as a function of temperature at 0, 5, 10, and 15 ℃, and time at 0, 1, 3, 6, 8, 10, 15, 20, 25, and 30 days. Based on the results of these measurements, a Baranyi model using the primary model was developed. The input parameters of the Baranyi equation in the variable temperature for polynomial regression as a secondary model were developed: SGR = 0.1715 + 0.0199T + 0.0012T2, LT = 5.5730 - 0.3215T + 0.0051T2 with R2 values 0.9972 and 0.9772, respectively. The RMSE (Root mean squared error), Bf (bias factor), and Af (accuracy factor) on the growth prediction model were determined to be 0.30, 0.72, and 1.50 in SGR (specific growth rate), and 0.10, 0.84, and 1.35 in LT (lag time), respectively. Therefore, the model developed in this study can be used to determine microorganism growth in the stages of consumption of mixed pressed hams and has potential in microbial risk assessments (MRAs).

Abstract
 서 론
 재료 및 방법
 결과 및 고찰
 REFERENCES

• Seong-Jun Lee(Department of Food and Nutrition, Kunsan National University)
• Myoung-Su Park(Department of Food and Nutrition, Kunsan National University)
• Gyung-Jin Bahk(Department of Food and Nutrition, Kunsan National University) Corresponding Author