Bootstrap parametric GB2 and bootstrap nonparametric distributions for studying shiga toxin-producing Escherichia coli strains growth rate variability.
Bootstrap
Escherichia coli
GB2 distribution
Nonparametric
Parametric
Pathogenic
Journal
Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
received:
14
09
2018
revised:
06
11
2018
accepted:
21
11
2018
entrez:
20
4
2019
pubmed:
20
4
2019
medline:
15
9
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31000303
pii: S0963-9969(18)30930-X
doi: 10.1016/j.foodres.2018.11.045
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
829-838Informations de copyright
Copyright © 2018 Elsevier Ltd. All rights reserved.