Predictive food microbiology for the meat industry: a review

被引:146
作者
McDonald, K [1 ]
Sun, DW [1 ]
机构
[1] Natl Univ Ireland Univ Coll Dublin, Dept Agr & Food Engn, FRCFT Grp, Dublin 2, Ireland
关键词
meat; predictive microbiology; safety; spoilage; model;
D O I
10.1016/S0168-1605(99)00126-9
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Predictive food microbiology (PFM) is an emerging multidisciplinary area of food microbiology. It encompasses such disciplines as mathematics, microbiology, engineering and chemistry to develop and apply mathematical models to predict the responses of microorganisms to specified environmental variables. This paper provides a critical review on the development of mathematical modelling with emphasis on modelling techniques, descriptions, classifications and their recent advances. It is concluded that the role and accuracy of predictive food microbiology will increase as understanding of the complex interactions between microorganisms and food becomes clearer. However the reliance of food microbiology on laboratory techniques and skilled personnel to determine process and food safety is still necessary. (C) 1999 Elsevier Science B.V. All rights reserved.
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页码:1 / 27
页数:27
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