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Bootstrap parametric GB2 and bootstrap nonparametric distributions for studying shiga toxin-producing Escherichia coli strains growth rate variability.
- Source :
-
Food research international (Ottawa, Ont.) [Food Res Int] 2019 Jun; Vol. 120, pp. 829-838. Date of Electronic Publication: 2018 Nov 22. - Publication Year :
- 2019
-
Abstract
- Shiga toxin-producing Escherichia coli (VTEC) strains, including the serotype O157:H7, are considered foodborne pathogens. Transmission occurs through consumption of undercooked meat, unpasteurized dairy products, vegetables, or contaminated water. The variability of pathogenic and nonpathogenic E. coli strains growth parameters at different temperatures and in different media was studied. Bootstrap parametric (Generalized Beta of the Second Kind, GB2) or nonparametric models were used. GB2 estimations show increased growth rates and shortened lag times with increased temperature, as expected. Similar estimations were obtained using the nonparametric model. Parametric and nonparametric growth rate confidence intervals were wider with increased temperature; lag times confidence intervals were wider with decreased temperature. The nonparametric method gives similar confidence intervals to the parametric method, confirming its suitability for growth parameters estimation. The estimations obtained from nonpathogenic E. coli strains approximate distributions from pathogenic E. coli strains.<br /> (Copyright © 2018 Elsevier Ltd. All rights reserved.)
- Subjects :
- Food Microbiology methods
Shiga-Toxigenic Escherichia coli growth & development
Subjects
Details
- Language :
- English
- ISSN :
- 1873-7145
- Volume :
- 120
- Database :
- MEDLINE
- Journal :
- Food research international (Ottawa, Ont.)
- Publication Type :
- Academic Journal
- Accession number :
- 31000303
- Full Text :
- https://doi.org/10.1016/j.foodres.2018.11.045