Journal of Food Hygiene and Safety (한국식품위생안전성학회지)
- Volume 16 Issue 2
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- Pages.103-110
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- 2001
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- 1229-1153(pISSN)
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- 2465-9223(eISSN)
Application of Predictive Food Microbiology Model in HACCP System of Milk
우유의 HACCP 시스템에서 Predictive Food Microbiology Model 이용
Abstract
Predictive food microbiology(PFM) is an emerging area of food microbiology since the later 1980’s. It does apply mathematical models to predict the responses of microorganism to specified environmental variables. Although, at present, PFM models do not completely developed, models can provide very useful information for microbiological responses in HACCP(Hazard Analysis Critical Control Point) system and Risk Assessment. This study illustrates the possible use of PFM models(PMP: Pathogen Modeling Program win5.1) with milk in several elements in the HACCP system, such as conduction of hazard analysis and determination of CCP(Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage fixed factors were pH 6.7, Aw 0.993 and NaCl 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage (Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The variable factor was storage temperature at the range of 4~15
예측식품미생물학(PFM)은 1980년대 후반 이후 식품미생물학 분야에서 새롭게 발생한 신학문 분야이다. PFM은 특별한 환경적 요인에 따른 미생물 특히, 병원성미생물의 반응(사멸과 생존)을 예측하기 위하여 수학적인 모델을 이용한 것이다. 현재까지 개발된 PFM모델중 완전한 것은 없지만, 어떤 특정 조건하에서는 신속하고 객관적으로 미생물의 반응을 예측하는데 이용될 수 있다는 장점 때문에, HACCP시스템, Risk Assessment 등에서 응용 가능성이 커지고 있다. 본 연구는 PFM 모델중 PMPwin5.1을 이용하여, 우유 저장에 대한 HACCP시스템 중 미생물학적 위해요소 분석, CCP 및 CL설정에 대한 방법론적 예를 제시하였다. 모델에 대한 초기조건으로 우유와 동일한 물리화학적 조건인 pH 6.7, Aw 0.993, NaCl 1.3%을 고정변수로 하고, 저장온도(4~15