Document Detail


Probabilistic risk model for staphylococcal intoxication from pork-based food dishes prepared in food service establishments in Korea.
MedLine Citation:
PMID:  19777892     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Foodborne illness contracted at food service operations is an important public health issue in Korea. In this study, the probabilities for growth of, and enterotoxin production by, Staphylococcus aureus in pork meat-based foods prepared in food service operations were estimated by the Monte Carlo simulation. Data on the prevalence and concentration of S. aureus as well as compliance to guidelines for time and temperature controls during food service operations were collected. The growth of S. aureus was initially estimated by using the U.S. Department of Agriculture's Pathogen Modeling Program. A second model based on raw pork meat was derived to compare cell number predictions. The correlation between toxin level and cell number as well as minimum toxin dose obtained from published data was adopted to quantify the probability of staphylococcal intoxication. When data gaps were found, assumptions were made based on guidelines for food service practices. Baseline risk model and scenario analyses were performed to indicate possible outcomes of staphylococcal intoxication under the scenarios generated based on these data gaps. Staphylococcal growth was predicted during holding before and after cooking, and the highest estimated concentration (4.59 log CFU/g for the 99.9th percentile value) of S. aureus was observed in raw pork initially contaminated with S. aureus and held before cooking. The estimated probability for staphylococcal intoxication was very low, using currently available data. However, scenario analyses revealed an increased possibility of staphylococcal intoxication when increased levels of initial contamination in the raw meat, andlonger holding time both before and after cooking the meat occurred.
Authors:
Hyun Jung Kim; Mansel W Griffiths; Aamir M Fazil; Anna M Lammerding
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of food protection     Volume:  72     ISSN:  0362-028X     ISO Abbreviation:  J. Food Prot.     Publication Date:  2009 Sep 
Date Detail:
Created Date:  2009-09-25     Completed Date:  2009-10-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703944     Medline TA:  J Food Prot     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1897-908     Citation Subset:  IM    
Affiliation:
Canadian Research Institute for Food Safety, University of Guelph, 43 McGilvray Street, Guelph, Ontario N1G 2W1, Canada.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Animals
Colony Count, Microbial
Consumer Product Safety
Endotoxins / analysis*
Food Contamination / analysis*
Food Handling / methods*
Food Microbiology
Food Services / standards*,  statistics & numerical data
Humans
Korea / epidemiology
Meat Products / microbiology*
Monte Carlo Method
Predictive Value of Tests
Prevalence
Probability
Risk Assessment
Risk Factors
Staphylococcal Food Poisoning / epidemiology*,  microbiology
Staphylococcus aureus / isolation & purification,  metabolism
Swine
Temperature
Time Factors
Chemical
Reg. No./Substance:
0/Endotoxins

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


Previous Document:  Properties of whey protein-based films containing organic acids and nisin to control Listeria monocy...
Next Document:  Rapid differentiation of Bacillus strains using hydrophobic grid membranes and attenuated total refl...