Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 428

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Escherichia coli as an indicator of bacteriological quality of water: an overview

Open access
Odonkor, Stephen T., Ampofo, Joseph K.·2013·Microbiology Research

Abstract

Monitoring the microbiological quality of drinking water relies largely on examination of indicator bacteria such as coliforms, Escherichia coli, and Pseudomonas aeruginosa.E. coli is a member of the faecal coliform group and is a more specific indicator of faecal pollution than other faecal coliforms.Two key factors have led to the trend toward the use of E. coli as the preferred indicator for the detection of faecal contamination, not only in drinking water, but also in other matrices as well: first, the finding that some faecal coliforms were non faecal in origin, and second, the development of improved testing methods for E. coli.The faecal coliform definition has also been revised to coincide better with the genetic make-up of its members and now includes newly identified environmental species.As a result, faecal coliforms are increasingly being referred to as thermotolerant coliforms.This, combined with improved detection methods for E. coli, has started a trend toward the use of E. coli in place of thermotolerant coliforms as a more reliable indicator of faecal pollution in drinking water.At present, E. coli appears to provide the best bacterial indication of faecal contamination in drinking water.This is based on the prevalence of thermotolerant (faecal) coliforms in temperate environments as compared to the rare incidence of E. coli, the prevalence of E. coli in human and animal faeces as compared to other thermotolerant coliforms, and the availability of affordable, fast, sensitive, specific and easier to perform detection methods for E. coli.

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 · 10.4081/mr.2013.e2

Cites

36 of 36 references verified0 citation errors · 0 not checkable

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

Cites

Cited by

See all 428

Metadata

Authors
Odonkor, S. T., & Ampofo, J. K.
Venue
Microbiology Research
Publisher
MDPI AG
Published
2013-06-11
Volume
4
Issue
1
Pages
2
ISSN
  • 2036-7473 (ISSN-L)
  • 2036-7481
OpenAlex
W1996718213
Cited by
428
References
36
FWCI
15.07
Type
journal article
Language
en
Open access
gold

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

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.