LINKING MICROBIOLOGICAL CRITERIA FOR FOODS WITH QUANTITATIVE RISK ASSESSMENT

Citation
Jb. Rose et al., LINKING MICROBIOLOGICAL CRITERIA FOR FOODS WITH QUANTITATIVE RISK ASSESSMENT, Journal of food safety, 15(2), 1995, pp. 121-132
Citations number
24
Categorie Soggetti
Food Science & Tenology","Biothechnology & Applied Migrobiology
Journal title
ISSN journal
01496085
Volume
15
Issue
2
Year of publication
1995
Pages
121 - 132
Database
ISI
SICI code
0149-6085(1995)15:2<121:LMCFFW>2.0.ZU;2-T
Abstract
The current annual risk of acquiring a foodborne disease in the United States is estimated at 2.7 X 10(-2). The risk of associated death is estimated at 3.7 X 10(-5). These represent a health care burden >$3 bi llion. Using a risk assessment model one can identify levels of microb ial contamination which may be unacceptable in foods and appropriate c ontrols needed to reduce these levels. Salmonella bacteria continue to represent a large percentage of the identifiable infections. A model developed from human dose-response studies predicts the probability of infection for Salmonella at 7.5 X 10(-3) with exposure to a single CF U of the organism. Risks of severity (hospitalization), mortality, rea ctive arthritides, and mortality in the elderly are estimated at 3.1 X 10(-4), 7.5 X 10(-6), 1.7 X 10(-5), and 2.8 X 10(-4). Exposure to mic robial contaminants needs to be evaluated on a single meal basis. For chicken, exposure may range from a single drum stick (38g) to a half b roiler (176g) but averages around 80g. For beef between 51 and 85g may be consumed during a single meal. Therefore, methods for monitoring m ust be able to detect at least I CFU/80g. Risks for some pathogenic E. coli are estimated at 1,000 to 10,000 less than Salmonella. Therefore , use of coliforms as indicators needs to be assessed and related to o ccurrence and survival and regrowth potential of the enteric bacteria of greater public health concern. Because, 20% of the U.S. population may be considered to be in a special population category and at an inc reased risk of severe outcomes, no more than 20% failure of a standard should be acceptable.