Literature DB >> 7036902

Estimation of the most probable number with a programable pocket calculator.

A L Koch.   

Abstract

The most-probable-number method has many potential applications, particularly if many tubes per dilution and many dilution levels are used. Increasing the number of cultures is possible with modern automatic and semiautomatic equipment. However, available tables are not sufficiently detailed to handle data from a large number of culture tubes used in an assay. This paper provides a computer program capable of handling the necessary arithmetic and written for a hand-held, advanced programable calculator.

Mesh:

Year:  1982        PMID: 7036902      PMCID: PMC241854          DOI: 10.1128/aem.43.2.488-490.1982

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


  2 in total

1.  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

2.  Microtechnique for most-probable-number analysis.

Authors:  R Rowe; R Todd; J Waide
Journal:  Appl Environ Microbiol       Date:  1977-03       Impact factor: 4.792

  2 in total
  4 in total

1.  Distribution of iron-oxidizing bacteria in the nordic uranium tailings deposit, elliot lake, ontario, Canada.

Authors:  M Silver
Journal:  Appl Environ Microbiol       Date:  1987-04       Impact factor: 4.792

2.  Elimination of viruses and indicator bacteria at each step of treatment during preparation of drinking water at seven water treatment plants.

Authors:  P Payment; M Trudel; R Plante
Journal:  Appl Environ Microbiol       Date:  1985-06       Impact factor: 4.792

3.  Computation of most probable numbers.

Authors:  E Russek; R R Colwell
Journal:  Appl Environ Microbiol       Date:  1983-05       Impact factor: 4.792

4.  A most-probable-number assay for enumeration of infectious Cryptosporidium parvum oocysts.

Authors:  T R Slifko; D E Huffman; J B Rose
Journal:  Appl Environ Microbiol       Date:  1999-09       Impact factor: 4.792

  4 in total

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