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Modeling Microbial Growth Within Food Safety Risk Assessments

Citation

Ross, T and McMeekin, TA, Modeling Microbial Growth Within Food Safety Risk Assessments, Risk Analysis, 23, (1) pp. 179-197. ISSN 0272-4332 (2003) [Refereed Article]

DOI: doi:10.1111/1539-6924.00299

Abstract

Risk estimates for food-borne infection will usually depend heavily on numbers of microorganisms present on the food at the time of consumption. As these data are seldom available directly, attention has turned to predictive microbiology as a means of inferring exposure at consumption. Codex guidelines recommend that microbiological risk assessment should explicitly consider the dynamics of microbiological growth, survival, and death in foods. This article describes predictive models and resources for modeling microbial growth in foods, and their utility and limitations in food safety risk assessment. We also aim to identify tools, data, and knowledge sources, and to provide an understanding of the microbial ecology of foods so that users can recognize model limits, avoid modeling unrealistic scenarios, and thus be able to appreciate the levels of confidence they can have in the outputs of predictive microbiology models. The microbial ecology of foods is complex. Developing reliable risk assessments involving microbial growth in foods will require the skills of both microbial ecologists and mathematical modelers. Simplifying assumptions will need to be made, but because of the potential for apparently small errors in growth rate to translate into very large errors in the estimate of risk, the validity of those assumptions should be carefully assessed. Quantitative estimates of absolute microbial risk within narrow confidence intervals do not yet appear to be possible. Nevertheless, the expression of microbial ecology knowledge in "predictive microbiology" models does allow decision support using the tools of risk assessment.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Food Sciences
Research Field:Food Processing
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Food Safety
Author:Ross, T (Associate Professor Tom Ross)
Author:McMeekin, TA (Professor Thomas McMeekin)
ID Code:24020
Year Published:2003
Web of Science® Times Cited:57
Deposited By:Agricultural Science
Deposited On:2003-08-01
Last Modified:2004-04-21
Downloads:0

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