Literature DB >> 20630325

Studying the growth boundary and subsequent time to growth of pathogenic Escherichia coli serotypes by turbidity measurements.

A Valero1, M Rodríguez, E Carrasco, F Pérez-Rodríguez, R M García-Gimeno, G Zurera.   

Abstract

The presence of Escherichia coli in contaminated food products is commonly attributed to faecal contamination when they are improperly handled and/or when inactivation treatments fail. Adaptation of E. coli at low pH and a(w) levels can vary at different temperatures depending on the serotype, thus more detailed studies are needed. In this work, a screening to assess the growth of four pathogenic serotypes of E. coli (O55:H6; O59:H21; O158:H23 and O157:H7) was performed. Subsequently, boundary models were elaborated with the fastest serotype selected at different temperatures (8, 12 and 16 degrees C), and inoculum levels (2, 3 and 4log cfu/mL) as function of pH (7.00-5.00) and a(w) (0.999-0.960). Finally, the growth kinetics of E. coli was described in the conditions that allowed growth. Results obtained showed that the serotypes O157:H7 and O59:H21 did not grow at more stringent conditions (8 degrees C; pH 5.50), while the E. coli O158:H23 was the best adapted, resulting in faster growth. The logistic regression models presented a good adjustment to data observed since more than 96.7% of cases were correctly classified. The growth interface was shifted to more limited conditions as the inoculum size was higher. Detection times (t(d), h) and their variability were higher at low levels of the environmental factors studied. This work provides insight on the growth kinetics of E. coli at various environmental conditions. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20630325     DOI: 10.1016/j.fm.2010.04.016

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  3 in total

1.  Modeling the growth of Staphylococcus aureus as affected by black zira (Bunium persicum) essential oil, temperature, pH and inoculum levels.

Authors:  Abdollah Jamshidi; Saeid Khanzadi; Majid Azizi; Mohammad Azizzadeh; Mohammad Hashemi
Journal:  Vet Res Forum       Date:  2014       Impact factor: 1.054

2.  In silico Logistic Model for Table Olive Related Microorganisms As a Function of Sodium Metabisulphite, Cinnamaldehyde, pH, and Type of Acidifying Agent.

Authors:  Verónica Romero-Gil; Antonio Garrido-Fernández; Francisco N Arroyo-López
Journal:  Front Microbiol       Date:  2016-08-31       Impact factor: 5.640

3.  Modeling of Salmonella typhimurium growth under the effects of Carum copticum essential oil, temperature, pH and inoculum size.

Authors:  Golshan Shakeri; Abdollah Jamshidi; Saeid Khanzadi; Mohammad Azizzadeh
Journal:  Vet Res Forum       Date:  2017-03-15       Impact factor: 1.054

  3 in total

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