Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 451

The DOI matches its Crossref record.

Most‐Probable‐Number Method for Microbial Populations

Alexander, M.·1965·Agronomy Monographs

Abstract

The most-probable-number (MPN) method permits estimation of population density without an actual count of single cells or colonies. It is some-times called the method of ultimate or extinction dilution or, less descriptively, simply the dilution method. This chapter discusses the application of the MPN method for determining the total microbial count in soil. The MPN technique is based on a determination of the presence or absence of microorganisms in several individual aliquots of each of several consecutive dilutions of soil or other material. A prerequisite of the method is that the microorganism whose population is to be determined must be able to bring about some characteristic and readily recognizable transformation in the medium into which it is inoculated, or else the microorganism itself, after it has undergone multiplication, must be easily recognizable in the substrate.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2134/agronmonogr9.2.c49

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 451

Metadata

Authors
Alexander, M.
Venue
Agronomy Monographs
Publisher
Wiley
Published
1965-01
Pages
1467-1472
ISSN
  • 0065-4663 (ISSN-L)
  • 2156-3276
OpenAlex
W2290266545
Cited by
451
References
0
Type
other
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Most‐Probable‐Number Method for Microbial Populations. https://app.cochat.ai/papers/10.2134/agronmonogr9.2.c49
The paper
Alexander, M. (1965). Most‐Probable‐Number Method for Microbial Populations. Agronomy Monographs. https://doi.org/10.2134/agronmonogr9.2.c49

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.