Quantitative Microbial Risk Assessment for Staphylococcus aureus and Staphylococcus Enterotoxin A in Raw Milk

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Pubblicato in:Journal of Food Protection vol. 72, no. 8 (Aug 2009), p. 1641-1653
Autore principale: Heidinger, Joelle C
Altri autori: Winter, Carl K, Cullor, James S
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Elsevier Limited
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100 1 |a Heidinger, Joelle C 
245 1 |a Quantitative Microbial Risk Assessment for Staphylococcus aureus and Staphylococcus Enterotoxin A in Raw Milk 
260 |b Elsevier Limited  |c Aug 2009 
513 |a Journal Article 
520 3 |a 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^sup 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. [PUBLICATION ABSTRACT]   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. 
650 2 2 |a Animals 
650 2 2 |a Colony Count, Microbial 
650 2 2 |a Computer Simulation 
650 2 2 |a Consumer Product Safety 
650 1 2 |a Enterotoxins  |x biosynthesis 
650 2 2 |a Food Contamination  |x analysis 
650 2 2 |a Food Contamination  |x prevention & control 
650 1 2 |a Food Preservation  |x methods 
650 2 2 |a Humans 
650 2 2 |a Kinetics 
650 1 2 |a Milk  |x chemistry 
650 1 2 |a Milk  |x microbiology 
650 1 2 |a Models, Biological 
650 2 2 |a Monte Carlo Method 
650 2 2 |a Risk Assessment 
650 1 2 |a Staphylococcus aureus  |x growth & development 
653 |a Studies 
653 |a Bacteria 
653 |a Manufacturers 
653 |a Consumer protection 
653 |a Monte Carlo simulation 
653 |a Food safety 
653 |a Pathogens 
653 |a Food contamination & poisoning 
653 |a Dairy cattle 
653 |a Epidemics 
653 |a Public health 
653 |a Intoxication 
653 |a Illnesses 
653 |a Dairy products 
653 |a Pasteurization 
653 |a Manufacturing 
653 |a Temperature 
653 |a Dairies 
653 |a Economic 
700 1 |a Winter, Carl K 
700 1 |a Cullor, James S 
773 0 |t Journal of Food Protection  |g vol. 72, no. 8 (Aug 2009), p. 1641-1653 
786 0 |d ProQuest  |t Science Database 
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856 4 0 |3 Full Text  |u https://www.proquest.com/docview/231320953/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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