Evidence map›Paper›PMID 18931927›Full record

ArticleEnvironmental monitoring and assessment2009

Simultaneous detection of enteric bacteria from surface waters by QPCR in comparison with conventional bacterial indicators.

Y J Liu, C M Zhang, X C Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. The current state of knowledge on the interaction ofEnergy, ecology & environment · 2016
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Y J LiuKey Laboratory of Northwest Water Resource, Ecology and Environment, Ministry of Education, Xi'an University of Architecture and Technology, Xi'an, 710055, China. liuyongjun@xauat.edu.cn
C M Zhang
X C Wang
Xi'an University of Architecture and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid quantitative polymerase chain reaction (QPCR) method was developed for simultaneous detection of enteric bacteria from surface waters by utilizing a pair of universal primers which targeted four bacteria strains, namely Shigella dysenteriae, Vibrio cholerae, Salmonella typhimurium, and Escherichia coli. It was estimated that the QPCR method had a 94% confidence, and a detection limit as 2.7 E. coli cells per sample in undiluted DNA extracts. The QPCR method was applied for the bacteriological examination of several surface waters in the urban area of Xi'an, China and comparison was made with the conventional bacteria indicators determined by conventional membrane filter (MF) method. As a result, the calibrator cell equivalents (CCE) determined by QPCR was 2.2 to five times of the total coliform CFU, and the characteristics of the bacterial quality of different waters could be well presented by the QPCR results with a higher sensitivity. The coefficient of variation (CV) of data obtained by QPCR was smaller than that by traditional MF method, indicating a more stable analysis result. The QPCR method could thus be used as a supplement of the conventional culture method for more sensitive detection of pathogenic enteric bacteria from water.

Indexed as

Water MicrobiologyBacteriological TechniquesChinaEnterobacteriaceaeEscherichia coliFiltrationPolymerase Chain ReactionRNA, Ribosomal, 16SSalmonella typhimuriumShigella dysenteriaeVibrio choleraeRNA, Ribosomal, 16S

Identifiers

PMID18931927
OpenAlexW1984070474

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.