Literature DB >> 6360044

Microplate fecal coliform method to monitor stream water pollution.

A Maul, J C Block.   

Abstract

A study has been carried out on the Moselle River by means of a microtechnique based on the most-probable-number method for fecal coliform enumeration. This microtechnique, in which each serial dilution of a sample is inoculated into all 96 wells of a microplate, was compared with the standard membrane filter method. It showed a marked overestimation of about 14% due, probably, to the lack of absolute specificity of the method. The high precision of the microtechnique (13%, in terms of the coefficient of variation for log most probable number) and its relative independence from the influence of bacterial density allowed the use of analysis of variance to investigate the effects of spatial and temporal bacterial heterogeneity on the estimation of coliforms. Variability among replicate samples, subsamples, handling, and analytical errors were considered as the major sources of variation in bacterial titration. Variances associated with individual components of the sampling procedure were isolated, and optimal replications of each step were determined. Temporal variation was shown to be more influential than the other three components (most probable number, subsample, sample to sample), which were approximately equal in effect. However, the incidence of sample-to-sample variability (16%, in terms of the coefficient of variation for log most probable number) caused by spatial heterogeneity of bacterial populations in the Moselle River is shown and emphasized. Consequently, we recommend that replicate samples be taken on each occasion when conducting a sampling program for a stream pollution survey.

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Year:  1983        PMID: 6360044      PMCID: PMC239515          DOI: 10.1128/aem.46.5.1032-1037.1983

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  12 in total

1.  Estimation of coliform density by the membrane filter and the fermentation tube methods.

Authors:  H A THOMAS; R L WOODWARD
Journal:  Am J Public Health Nations Health       Date:  1955-11

2.  Bacterial density in water determined by poisson or negative binomial distributions.

Authors:  A H El-Shaarawi; S R Esterby; B J Dutka
Journal:  Appl Environ Microbiol       Date:  1981-01       Impact factor: 4.792

3.  Sampling design and enumeration statistics for bacteria extracted from marine sediments.

Authors:  P A Montagna
Journal:  Appl Environ Microbiol       Date:  1982-06       Impact factor: 4.792

4.  Application of Statistics to Problems in Bacteriology: III. A Consideration of the Accuracy of Dilution Data Obtained by Using Several Dilutions.

Authors:  H O Halvorson; N R Ziegler
Journal:  J Bacteriol       Date:  1933-12       Impact factor: 3.490

5.  Estimation of bacterial densities by means of the "most probable number".

Authors:  W G COCHRAN
Journal:  Biometrics       Date:  1950-06       Impact factor: 2.571

6.  Patchiness in the distribution of planktonic heterotrophic bacteria in lakes.

Authors:  F E Palmer; R D Methot; J T Staley
Journal:  Appl Environ Microbiol       Date:  1976-06       Impact factor: 4.792

7.  The use of analysis of variance to examine the variations between samples of marine bacterial populations.

Authors:  R E Ashby; M E Rhodes-Roberts
Journal:  J Appl Bacteriol       Date:  1976-12

8.  Statistical analysis of the direct count method for enumerating bacteria.

Authors:  D Kirchman; J Sigda; R Kapuscinski; R Mitchell
Journal:  Appl Environ Microbiol       Date:  1982-08       Impact factor: 4.792

9.  Bacteria associated with false-positive most-probable-number coliform test results for shellfish and estuaries.

Authors:  D Hussong; J M Damaré; R M Weiner; R R Colwell
Journal:  Appl Environ Microbiol       Date:  1981-01       Impact factor: 4.792

10.  Variation in fecal pollution indicators through tidal cycles in the Fraser River estuary.

Authors:  L M Churchland; G Kan; A Ages
Journal:  Can J Microbiol       Date:  1982-02       Impact factor: 2.419

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  3 in total

1.  Analysis of two-way layout of count data with negative binomial variation.

Authors:  A Maul; A H El-Shaarawi
Journal:  Environ Monit Assess       Date:  1991-01       Impact factor: 2.513

2.  Automated measurement and quantification of heterotrophic bacteria in water samples based on the MPN method.

Authors:  C Fuchsluger; M Preims; I Fritz
Journal:  J Ind Microbiol Biotechnol       Date:  2010-09-12       Impact factor: 3.346

Review 3.  [Acute diarrheal disease caused by enteropathogenic Escherichia coli in Colombia].

Authors:  Oscar G Gómez-Duarte
Journal:  Rev Chilena Infectol       Date:  2014-10       Impact factor: 0.520

  3 in total

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