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http://dx.doi.org/10.13103/JFHS.2019.34.2.199

Analysis of Temperature and Probability Distribution Model of Frozen Storage Warehouses in South Korea  

Park, Myoung-Su (Department of Food and Nutrition, Kunsan National University)
Kim, Ga-Ram (Department of Food and Nutrition, Kunsan National University)
Bahk, Gyung-Jin (Department of Food and Nutrition, Kunsan National University)
Publication Information
Journal of Food Hygiene and Safety / v.34, no.2, 2019 , pp. 199-204 More about this Journal
Abstract
This study aimed to generate a probability distribution model based on temperature data of frozen food storage facility as input variables for microbial risk assessment (MRA). We visited 8 food-handling businesses to collect temperature data from their cold storage warehouses. The overall mean temperature inside the storage facilities was $-20.48{\pm}3.08^{\circ}C$, with 20.4% of the facilities having above $-18^{\circ}C$, with minimum and maximum temperature values of -10.3 and $-25.80^{\circ}C$ respectively. Temperature distributions by space locations of natural and forced convection were $-22.57{\pm}0.84$ and $-17.81{\pm}1.47^{\circ}C$, $-22.49{\pm}1.05$ and $-17.94{\pm}1.44^{\circ}C$, and $-22.68{\pm}1.03$ and $-18.08{\pm}1.42^{\circ}C$ in the upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m) shelves, respectively. Probability distributions from the temperature data were obtained using the program @RISK. Statistical ranking was determined using goodness of fit to determine the probability distribution model. Our results show that a log-normal distribution [5.9731, 3.3483, shift (-26.4281)] is most appropriate for relative MRA conduction.
Keywords
Frozen storage warehouse; Temperature distribution; Probability distribution model; MRA;
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