Journal of Food Hygiene and Safety (한국식품위생안전성학회지)

The Korean Society of Food Hygiene and Safety (한국식품위생안전성학회)
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Analysis of Temperature and Probability Distribution Model of Frozen Storage Warehouses in South Korea

국내 식품냉동창고 온도분포 실태 및 확률분포모델 분석

  • 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)
  • 박명수 (군산대학교 식품영양학과) ;
  • 김가람 (군산대학교 식품영양학과) ;
  • 박경진 (군산대학교 식품영양학과)
  • Received : 2018.12.20
  • Accepted : 2019.04.05
  • Published : 2019.04.30
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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.

본 연구는 국내 냉동보관창고 보관온도에 대한 조사자료를 활용하여, 온도분포를 추정하였고 이를 미생물 위해 평가(microbial risk assessment; MRA)의 입력변수로 활용할 수 있도록 적정 확률분포 모델을 제시하였다. 조사에 참여한 8곳의 냉동보관창고에서 측정된 공간상의 온도는 최저 $-25.8^{\circ}C$, 최고 $-10.3^{\circ}C$, 평균 $-20.48{\pm}3.08^{\circ}C$이었으며, $-18^{\circ}C$이상의 냉동창고 비율은 20.4%로 조사되었다. 공간별 온도분포는 자연대류를 이용하는 냉동창고의 경우 상단(2.4~4 m) $-22.57{\pm}0.84^{\circ}C$, 중단(1.5~2.4 m) $-22.49{\pm}1.05^{\circ}C$, 하단(0.7~1.5 m) $-22.68{\pm}1.03^{\circ}C$, 최고온도차이는 $1.78^{\circ}C$이었으며, 강제대류를 이용하는 냉동창고의 온도분포는 상단(2.4~4 m) $-17.81{\pm}1.47^{\circ}C$, 중단(1.5~2.4 m) $-17.94{\pm}1.44^{\circ}C$, 하단(0.7~1.5 m) $-18.08{\pm}1.42^{\circ}C$, 최고온도차이는 $0.94^{\circ}C$로 조사되었다. 보관온도는 냉동창고 모든 공간에서 온도가 일정하게 유지되는 것이 아니라 편차가 존재하는 것으로 나타났다. 이상의 수집된 온도자료는 @RISK를 이용, 적합성 검정(GOF: A-D, K-S test)을 수행하여, MRA에서 활용할 수 있는 국내 냉동보관창고 온도분포에 대한 가장 적합한 확률분포모델로 Lognormal [5.9731,3.3483, shift(-26.4281)]이 선정하였다.

Keywords

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