The statistics probability approach for microbial risk assessment (MRA) has been recognized as an efficient method because this probability approach, which can be presented the diversity, variability, and uncertainty for the environmental factors of food processing, provide better realistic results than point estimate. This study was conducted to determine of probability statistics for the environmental factors of the pork-cutting processing i.e. the processing time, the pork meat temperature, and processing room temperature etc. As the input parameters for the MRA, triangular distribution and normal distribution were selected as an efficient probability distribution model, these distributions were analyzed by the simulation. The simulation results showed the processing time estimated 53 min as mean (5% - 22 min and 95% - 98 min), pork meat temperature estimated 4.83 ℃ as mean (5% - 2.25 ℃ and 95% - 7.12 ℃, 48.78% exceed 5 ℃), and processing room temperature estimated 17 ℃ as mean (5% - 10.92 ℃ and 95% - 22.56 ℃, 71.178% exceed 15 ℃).

• 오덕환(강원대학교) | Oh Deog Hwan
• S. M. E. Rahman(강원대학교 생명공학부 식품생명공학전공)
• 김재명(강원대학교 생명공학부 식품생명공학전공)
• 박경진(군산대학교) Correspondence