Literature DB >> 12380736

Growth of Escherichia coli O157:H7 in raw ground beef stored at 10 degrees C and the influence of competitive bacterial flora, strain variation, and fat level.

Mark L Tamplin1.   

Abstract

Pure-culture broth-based models of the growth of Escherichia coli O157:H7 have been used to estimate its behavior in ground beef, even though these models have not been adequately validated for this food product. This situation limits accurate estimates of the behavior of E. coli O157:H7 in ground beef and introduces uncertainties in risk assessments. In the present study, the growth of single and multiple strains of E. coli O157:H7 were measured in retail ground beef stored at 10 degrees C for up to 12 days, and the results were compared with estimates generated by the U.S. Department of Agriculture's Pathogen Modeling Program (PMP; version 5.1). At pH 5.9, the PMP predicted a maximum population density (MPD) of 9.13 log10 CFU/g, an exponential growth rate (EGR) of 0.052 log10 CFU/h, and a lag time of 56.3 h. Similar parameter values were observed for sterilized ground beef; however, no lag phase was observed. In contrast, the mean MPD and EGR for retail ground beef were 5.09 log10 CFU/g and 0.019 log10 CFU/h, respectively, and no lag phase was observed. Both the EGR and the MPD increased with decreasing fat levels. There was low variation in the MPD and EGR parameters for the nine E. coli O157:H7 ground beef isolates. Two isolates of competitive native flora were separately added to sterilized ground beef, and the EGR and MPD decreased as the ratio of competitive flora to E. coli O157:H7 increased. For one strain, at ratios of 1:1, 10:1, and 100:1, the EGRs were 0.033, 0.025, and 0.018 log10 CFU/h, respectively, and the MPDs were 6.14, 5.08, and 4.84 log10 CFU/g, respectively. These results demonstrate that existing broth-based models for E coli O157:H7 must be validated for food and that models should consider the effects of the food matrix, the competitive microflora, and potential pathogen strain variation.

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Year:  2002        PMID: 12380736     DOI: 10.4315/0362-028x-65.10.1535

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  6 in total

1.  Modeling and predicting the simultaneous growth of Escherichia coli O157:H7 and ground beef background microflora for various enrichment protocols.

Authors:  A Vimont; C Vernozy-Rozand; M P Montet; C Lazizzera; C Bavai; M-L Delignette-Muller
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

2.  Modeling the impact of the indigenous microbial population on the maximum population density of Salmonella on alfalfa.

Authors:  Hajo Rijgersberg; Eelco Franz; Masja Nierop Groot; Seth-Oscar Tromp
Journal:  World J Microbiol Biotechnol       Date:  2013-03-01       Impact factor: 3.312

3.  Inactivation of Escherichia coli O157:H7 in simulated human gastric fluid.

Authors:  Mark L Tamplin
Journal:  Appl Environ Microbiol       Date:  2005-01       Impact factor: 4.792

4.  Behavior of Bacillus anthracis strains Sterne and Ames K0610 in sterile raw ground beef.

Authors:  Mark L Tamplin; Robert Phillips; Tod A Stewart; John B Luchansky; Lynda C Kelley
Journal:  Appl Environ Microbiol       Date:  2007-12-14       Impact factor: 4.792

5.  Evaluation of models describing the growth of nalidixic acid-resistant E. coli O157:H7 in blanched spinach and Iceberg lettuce as a function of temperature.

Authors:  Juhui Kim; Hyunjung Chung; Joonil Cho; Kisun Yoon
Journal:  Int J Environ Res Public Health       Date:  2013-07-09       Impact factor: 3.390

6.  Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption.

Authors:  Eric G Evers; Annemarie Pielaat; Joost H Smid; Engeline van Duijkeren; Francy B C Vennemann; Lucas M Wijnands; Jurgen E Chardon
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

  6 in total

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