Literature DB >> 16779600

Comparison and verification of bacterial water quality indicator measurement methods using ambient coastal water samples.

John F Griffith1, Larissa A Aumand, Ioannice M Lee, Charles D McGee, Laila L Othman, Kerry J Ritter, Kathy O Walker, Stephen B Weisberg.   

Abstract

More than 30 laboratories routinely monitor water along southern California's beaches for bacterial indicators of fecal contamination. Data from these efforts frequently are combined and compared even though three different methods (membrane filtration (MF), multiple tube fermentation (MTF), and chromogenic substrate (CS) methods) are used. To assess data comparability and quantify variability within method and across laboratories, 26 laboratories participated in an intercalibration exercise. Each laboratory processed three replicates from eight ambient water samples employing the method or methods they routinely use for water quality monitoring. Verification analyses also were conducted on a subset of wells from the CS analysis to confirm or exclude the presence of the target organism. Enterococci results were generally comparable across methods. Confirmation revealed a 9% false positive rate and a 4% false negative rate in the CS method for enterococci, though these errors were small in the context of within- and among-laboratory variability. Fecal coliforms also were comparable across all methods, though CS underestimated the other methods by about 10%, probably because it measures only E. coli, rather than the larger fecal coliform group measured by MF and MTF. CS overestimated total coliforms relative to the other methods by several fold and was found to have a 40% false positive rate in verification. Across-laboratory variability was small relative to within- and among-method variability, but only after data entry errors were corrected. One fifth of the laboratories committed data entry errors that were much larger than any method-related errors. These errors are particularly significant because these data were submitted in a test situation where laboratories were aware they would be under increased scrutiny. Under normal circumstances, it is unlikely that these errors would have been detected and managers would have been obliged to issue beach water quality warnings.

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Year:  2006        PMID: 16779600     DOI: 10.1007/s10661-006-7571-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  16 in total

1.  Inventory of ocean monitoring in the Southern California Bight.

Authors:  Kenneth C Schiff; Stephen B Weisberg; Valerie Raco-Rands
Journal:  Environ Manage       Date:  2002-06       Impact factor: 3.266

2.  Comparison of beach bacterial water quality indicator measurement methods.

Authors:  Rachel T Noble; Stephen B Weisberg; Molly K Leecaster; Charles D McGee; Kerry Ritter; Kathy O Walker; Patricia M Vainik
Journal:  Environ Monit Assess       Date:  2003 Jan-Feb       Impact factor: 2.513

3.  Comparison of total coliform, fecal coliform, and enterococcus bacterial indicator response for ocean recreational water quality testing.

Authors:  R T Noble; D F Moore; M K Leecaster; C D McGee; S B Weisberg
Journal:  Water Res       Date:  2003-04       Impact factor: 11.236

4.  The effects of measurement error on previously reported mathematical relationships between indicator organism density and swimming-associated illness: a quantitative estimate of the resulting bias.

Authors:  J M Fleisher
Journal:  Int J Epidemiol       Date:  1990-12       Impact factor: 7.196

5.  Evaluation of Enterolert for enumeration of enterococci in recreational waters.

Authors:  G E Budnick; R T Howard; D R Mayo
Journal:  Appl Environ Microbiol       Date:  1996-10       Impact factor: 4.792

6.  Marine bacteria cause false-positive results in the Colilert-18 rapid identification test for Escherichia coli in Florida waters.

Authors:  John M Pisciotta; Damon F Rath; Paul A Stanek; D Michael Flanery; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2002-02       Impact factor: 4.792

7.  Induction and general properties of beta-galactosidase and beta-galactoside permease in Pseudomonas BAL-31.

Authors:  C Hidalgo; J Reyes; R Goldschmidt
Journal:  J Bacteriol       Date:  1977-02       Impact factor: 3.490

8.  Enumeration and speciation of enterococci found in marine and intertidal sediments and coastal water in southern California.

Authors:  D M Ferguson; D F Moore; M A Getrich; M H Zhowandai
Journal:  J Appl Microbiol       Date:  2005       Impact factor: 3.772

9.  Evaluation of colilert-marine water for detection of total coliforms and Escherichia coli in the marine environment.

Authors:  C J Palmer; Y L Tsai; A L Lang; L R Sangermano
Journal:  Appl Environ Microbiol       Date:  1993-03       Impact factor: 4.792

10.  Enterococci as indicators of Lake Michigan recreational water quality: comparison of two methodologies and their impacts on public health regulatory events.

Authors:  Julie Kinzelman; Clement Ng; Emma Jackson; Stephen Gradus; Robert Bagley
Journal:  Appl Environ Microbiol       Date:  2003-01       Impact factor: 4.792

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  5 in total

1.  Comparison of rapid quantitative PCR-based and conventional culture-based methods for enumeration of Enterococcus spp. and Escherichia coli in recreational waters.

Authors:  Rachel T Noble; A Denene Blackwood; John F Griffith; Charles D McGee; Stephen B Weisberg
Journal:  Appl Environ Microbiol       Date:  2010-09-24       Impact factor: 4.792

2.  Improving water quality through California's Clean Beach Initiative: an assessment of 17 projects.

Authors:  John H Dorsey
Journal:  Environ Monit Assess       Date:  2009-06-03       Impact factor: 2.513

Review 3.  Enterococci in the environment.

Authors:  Muruleedhara N Byappanahalli; Meredith B Nevers; Asja Korajkic; Zachery R Staley; Valerie J Harwood
Journal:  Microbiol Mol Biol Rev       Date:  2012-12       Impact factor: 11.056

4.  Modern space/time geostatistics using river distances: data integration of turbidity and E. coli measurements to assess fecal contamination along the Raritan River in New Jersey.

Authors:  Eric S Money; Gail P Carter; Marc L Serre
Journal:  Environ Sci Technol       Date:  2009-05-15       Impact factor: 9.028

5.  Comparison of Enterococcus species diversity in marine water and wastewater using Enterolert and EPA Method 1600.

Authors:  Donna M Ferguson; John F Griffith; Charles D McGee; Stephen B Weisberg; Charles Hagedorn
Journal:  J Environ Public Health       Date:  2013-06-10
  5 in total

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