Document Detail


Quantitative microbial risk assessment for Staphylococcus aureus and Staphylococcus enterotoxin A in raw milk.
MedLine Citation:
PMID:  19722395     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A quantitative microbial risk assessment was constructed to determine consumer risk from Staphylococcus aureus and staphylococcal enterotoxin in raw milk. A Monte Carlo simulation model was developed to assess the risk from raw milk consumption using data on levels of S. aureus in milk collected by the University of California-Davis Dairy Food Safety Laboratory from 2,336 California dairies from 2005 to 2008 and using U.S. milk consumption data from the National Health and Nutrition Examination Survey of 2003 and 2004. Four modules were constructed to simulate pathogen growth and staphylococcal enterotoxin A production scenarios to quantify consumer risk levels under various time and temperature storage conditions. The three growth modules predicted that S. aureus levels could surpass the 10(5) CFU/ml level of concern at the 99.9th or 99.99th percentile of servings and therefore may represent a potential consumer risk. Results obtained from the staphylococcal enterotoxin A production module predicted that exposure at the 99.99th percentile could represent a dose capable of eliciting staphylococcal enterotoxin intoxication in all consumer age groups. This study illustrates the utility of quantitative microbial risk assessments for identifying potential food safety issues.
Authors:
Joelle C Heidinger; Carl K Winter; James S Cullor
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of food protection     Volume:  72     ISSN:  0362-028X     ISO Abbreviation:  J. Food Prot.     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-09-02     Completed Date:  2009-09-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703944     Medline TA:  J Food Prot     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1641-53     Citation Subset:  IM    
Affiliation:
Department of Food Science and Technology, University of California, Davis, California 95616, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Colony Count, Microbial
Computer Simulation
Consumer Product Safety
Enterotoxins / biosynthesis*
Food Contamination / analysis,  prevention & control
Food Preservation / methods*
Humans
Kinetics
Milk / chemistry*,  microbiology*
Models, Biological*
Monte Carlo Method
Risk Assessment
Staphylococcus aureus / growth & development*
Chemical
Reg. No./Substance:
0/Enterotoxins; 37337-57-8/enterotoxin A, Staphylococcal

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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