Literature DB >> 18760312

Analytical limits of four beta-glucuronidase and beta-galactosidase-based commercial culture methods used to detect Escherichia coli and total coliforms.

Andrée F Maheux1, Vicky Huppé, Maurice Boissinot, François J Picard, Luc Bissonnette, Jean-Luc T Bernier, Michel G Bergeron.   

Abstract

Colilert (Colilert), Readycult Coliforms 100 (Readycult), Chromocult Coliform agar ES (Chromocult), and MI agar (MI) are beta-galactosidase and beta-glucuronidase-based commercial culture methods used to assess water quality. Their analytical performance, in terms of their respective ability to detect different strains of Escherichia coli and total coliforms, had never been systematically compared with pure cultures. Here, their ability to detect beta-glucuronidase production from E. coli isolates was evaluated by using 74 E. coli strains of different geographic origins and serotypes encountered in fecal and environmental settings. Their ability to detect beta-galactosidase production was studied by testing the 74 E. coli strains as well as 33 reference and environmental non-E. coli total coliform strains. Chromocult, MI, Readycult, and Colilert detected beta-glucuronidase production from respectively 79.9, 79.9, 81.1, and 51.4% of the 74 E. coli strains tested. These 4 methods detected beta-galactosidase production from respectively 85.1, 73.8, 84.1, and 84.1% of the total coliform strains tested. The results of the present study suggest that Colilert is the weakest method tested to detect beta-glucuronidase production and MI the weakest to detect beta-galactosidase production. Furthermore, the high level of false-negative results for E. coli recognition obtained by all four methods suggests that they may not be appropriate for identification of presumptive E. coli strains.

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Year:  2008        PMID: 18760312     DOI: 10.1016/j.mimet.2008.08.001

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  5 in total

1.  Molecular method for detection of total coliforms in drinking water samples.

Authors:  Andrée F Maheux; Dominique K Boudreau; Marc-Antoine Bisson; Vanessa Dion-Dupont; Sébastien Bouchard; Martine Nkuranga; Michel G Bergeron; Manuel J Rodriguez
Journal:  Appl Environ Microbiol       Date:  2014-04-25       Impact factor: 4.792

2.  Phenotypic and Phylogenetic Identification of Coliform Bacteria Obtained Using 12 Coliform Methods Approved by the U.S. Environmental Protection Agency.

Authors:  Ya Zhang; Pei-Ying Hong; Mark W LeChevallier; Wen-Tso Liu
Journal:  Appl Environ Microbiol       Date:  2015-06-26       Impact factor: 4.792

3.  A Strategy to Establish a Quality Assurance/Quality Control Plan for the Application of Biosensors for the Detection of E. coli in Water.

Authors:  Nikou Hesari; Nursel Kıratlı Yılmazçoban; Mohamad Elzein; Absar Alum; Morteza Abbaszadegan
Journal:  Biosensors (Basel)       Date:  2017-01-03

Review 4.  Microbial monitoring of surface water in South Africa: an overview.

Authors:  Catherine D Luyt; Roman Tandlich; Wilhelmine J Muller; Brendan S Wilhelmi
Journal:  Int J Environ Res Public Health       Date:  2012-07-30       Impact factor: 3.390

5.  Evaluation of an Inexpensive Growth Medium for Direct Detection of Escherichia coli in Temperate and Sub-Tropical Waters.

Authors:  Robert E S Bain; Claire Woodall; John Elliott; Benjamin F Arnold; Rosalind Tung; Robert Morley; Martella du Preez; Jamie K Bartram; Anthony P Davis; Stephen W Gundry; Stephen Pedley
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  5 in total

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