Bootstrap parametric GB2 and bootstrap nonparametric distributions for studying shiga toxin-producing Escherichia coli strains growth rate variability Articles uri icon

publication date

  • June 2019

start page

  • 829

end page

  • 838

volume

  • 120

international standard serial number (ISSN)

  • 0963-9969

abstract

  • Shiga toxin-producing Escherichia coli (VTEC) strains, including the serotype 0157:H7, are considered foodbome pathogens. Transmission occurs through consumption of undercooked meat, unpasteurized dairy products, vegetables, or contaminated water. The variability of pathogenic and nonpathogenic E. colt 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. colt strains.

keywords

  • escherichia coli; pathogenic; bootstrap; parametric; nonparametric; gb2distribution; response-surface models; lag time distributions; bacterial-growth; listeria-monocytogenes; risk-assessment; inoculum size; individual cell; temperature; o157-h7; ph