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
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

829-838

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

E J Quinto (EJ)

Department of Food Science and Nutrition, College of Medicine, University of Valladolid, 47005 Valladolid, Spain. Electronic address: equinto@ped.uva.es.

J M Marín (JM)

Department of Statistics, University Carlos III de Madrid, 28903 Getafe, Madrid, Spain. Electronic address: jmmarin@est-econ.uc3m.es.

I Caro (I)

Department of Food Science and Nutrition, College of Medicine, University of Valladolid, 47005 Valladolid, Spain; Department of Food Hygiene and Food Technology, University of León, Campus de Vegazana s/n, 24071 León, Spain. Electronic address: icarc@unileon.es.

J Mateo (J)

Department of Food Hygiene and Food Technology, University of León, Campus de Vegazana s/n, 24071 León, Spain. Electronic address: jmato@unileon.es.

M P Redondo-Del-Río (MP)

Department of Food Science and Nutrition, College of Medicine, University of Valladolid, 47005 Valladolid, Spain. Electronic address: pazr@ped.uva.es.

B de-Mateo-Silleras (B)

Department of Food Science and Nutrition, College of Medicine, University of Valladolid, 47005 Valladolid, Spain. Electronic address: bdemateo@ped.uva.es.

D W Schaffner (DW)

Department of Food Science, Rutgers University, New Brunswick, NJ 08901, USA. Electronic address: don.schaffner@rutgers.edu.

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Classifications MeSH