Literature DB >> 13374537

Estimation of bacterial density of water samples; methods of attaining international comparability.

S SWAROOP.   

Abstract

The statistical problems involved in the estimation of the bacterial density of water samples by the so-called "dilution" method are reviewed, and some ways of arriving at international comparability of estimates are suggested. It is emphasized that the aim of the dilution test should be not only to determine the "most probable number" of organisms in the sample, but also to specify the accuracy of the estimation by providing two confidence limits within which the true bacterial density will lie. The dilution schemes recommended for routine testing of water quality, for more precise estimations of the number of organisms in a water supply before and after treatment, at different times, or at different levels, and for tests of heavily polluted supplies are described, and the factors affecting the frequency with which sampling should be carried out are briefly discussed.

Entities:  

Keywords:  BACTERIA; WATER SUPPLY/microbiology

Mesh:

Year:  1956        PMID: 13374537      PMCID: PMC2538139     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  7 in total

1.  STATISTICAL METHODS AND CONTROL IN BACTERIOLOGY.

Authors:  C Eisenhart; P W Wilson
Journal:  Bacteriol Rev       Date:  1943-06

2.  Application of Statistics to Problems in Bacteriology: I. A Means of Determining Bacterial Population by the Dilution Method.

Authors:  H O Halvorson; N R Ziegler
Journal:  J Bacteriol       Date:  1933-02       Impact factor: 3.490

3.  Application of Statistics to Problems in Bacteriology: II. A Consideration of the Accuracy of Dilution Data Obtained by Using a Single Dilution.

Authors:  H O Halvorson; N R Ziegler
Journal:  J Bacteriol       Date:  1933-10       Impact factor: 3.490

4.  The Interpretation of B. coli Test Results on a Numerical and Comparative Basis as Applied to the Investigation of Water and Sewage.

Authors:  M F Stein
Journal:  J Bacteriol       Date:  1919-05       Impact factor: 3.490

5.  The analysis of extinction time data in bioassay.

Authors:  K MATHER
Journal:  Biometrics       Date:  1949-06       Impact factor: 2.571

6.  The range of variation of the most probable number of organisms estimated by the dilution method.

Authors:  S SWAROOP
Journal:  Indian J Med Res       Date:  1951-01       Impact factor: 2.375

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

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

  7 in total

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