Literature DB >> 21057020

Expanded Fermi solution for estimating the survival of ingested pathogenic and probiotic microbial cells and spores.

Micha Peleg1, Mark D Normand, Joseph Horowitz, Maria G Corradini.   

Abstract

The expanded Fermi solution was originally developed for estimating the number of food-poisoning victims when information concerning the circumstances of exposure is scarce. The method has been modified for estimating the initial number of pathogenic or probiotic cells or spores so that enough of them will survive the food preparation and digestive tract's obstacles to reach or colonize the gut in sufficient numbers to have an effect. The method is based on identifying the relevant obstacles and assigning each a survival probability range. The assumed number of needed survivors is also specified as a range. The initial number is then estimated to be the ratio of the number of survivors to the product of the survival probabilities. Assuming that the values of the number of survivors and the survival probabilities are uniformly distributed over their respective ranges, the sought initial number is construed as a random variable with a probability distribution whose parameters are explicitly determined by the individual factors' ranges. The distribution of the initial number is often approximately lognormal, and its mode is taken to be the best estimate of the initial number. The distribution also provides a credible interval for this estimated initial number. The best estimate and credible interval are shown to be robust against small perturbations of the ranges and therefore can help assessors achieve consensus where hard knowledge is scant. The calculation procedure has been automated and made freely downloadable as a Wolfram Demonstration.

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Year:  2010        PMID: 21057020      PMCID: PMC3019716          DOI: 10.1128/AEM.01448-10

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  18 in total

1.  Microbiological risk assessment: a new approach to food safety control.

Authors:  P A Voysey; M Brown
Journal:  Int J Food Microbiol       Date:  2000-07-15       Impact factor: 5.277

2.  Sensitivity analysis in quantitative microbial risk assessment.

Authors:  M H Zwieterin; S J van Gerwen
Journal:  Int J Food Microbiol       Date:  2000-07-15       Impact factor: 5.277

Review 3.  Modeling microbial growth within food safety risk assessments.

Authors:  Thomas Ross; Thomas Alexander McMeekin
Journal:  Risk Anal       Date:  2003-02       Impact factor: 4.000

4.  Efficacy of a commercial produce wash on bacterial contamination of lettuce in a food service setting.

Authors:  Sarah Smith; Mila Dunbar; Diana Tucker; Donald W Schaffner
Journal:  J Food Prot       Date:  2003-12       Impact factor: 2.077

5.  The human gastric bactericidal barrier: mechanisms of action, relative antibacterial activity, and dietary influences.

Authors:  W L Peterson; P A Mackowiak; C C Barnett; M Marling-Cason; M L Haley
Journal:  J Infect Dis       Date:  1989-05       Impact factor: 5.226

6.  Growth and inactivation models to be used in quantitative risk assessments.

Authors:  S J van Gerwen; M H Zwietering
Journal:  J Food Prot       Date:  1998-11       Impact factor: 2.077

7.  The application of quantitative risk assessment to microbial food safety.

Authors:  D J Vose
Journal:  J Food Prot       Date:  1998-05       Impact factor: 2.077

8.  Development of a quantitative risk assessment model for Salmonella enteritidis in pasteurized liquid eggs.

Authors:  R C Whiting; R L Buchanan
Journal:  Int J Food Microbiol       Date:  1997-05-20       Impact factor: 5.277

9.  Quantitative risk assessment for Escherichia coli O157:H7 in ground beef hamburgers.

Authors:  M H Cassin; A M Lammerding; E C Todd; W Ross; R S McColl
Journal:  Int J Food Microbiol       Date:  1998-05-05       Impact factor: 5.277

10.  Antibacterial activity of the pancreatic fluid.

Authors:  E Rubinstein; Z Mark; J Haspel; G Ben-Ari; Z Dreznik; D Mirelman; A Tadmor
Journal:  Gastroenterology       Date:  1985-04       Impact factor: 22.682

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