A probabilistic analysis of Clostridium perfringens growth during food service operations

被引:12
|
作者
Fazil, AM
Ross, T
Paoli, G
Vanderlinde, P
Desmarchelier, P
Lammerding, AM
机构
[1] Hlth Canada, Lab Foodborne Zoonoses, Guelph, ON N1G 3W4, Canada
[2] Univ Tasmania, Sch Agr Sci, Hobart, Tas 7000, Australia
[3] Decisionanalysis Risk Consultants, Ottawa, ON K1H 6S3, Canada
[4] Food Sci Australia, Tingalpa, Qld 4173, Australia
关键词
Clostridium perfringens; growth; probability; model; food service; simulation; Monte Carlo;
D O I
10.1016/S0168-1605(01)00667-5
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The purpose of this study was threefold: first, the study was designed to illustrate the use of data and information collected in food safety surveys in a quantitative risk assessment. In this case, the focus was on the food service industry; however, similar data from other parts of the food chain could be similarly incorporated. The second objective was to quantitatively describe and better understand the role that the food service industry plays in the safety of food. The third objective was to illustrate the additional decision-making information that is available when uncertainty and variability are incorporated into the modelling of systems. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
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页码:315 / 329
页数:15
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