Evidence map›Paper›PMID 32920714›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2020

Separation of Escherichia coli from natural samples for identification of sources and microcosm inoculation.

Marcos Tavares Carneiro, Daniel Vidal Perez, Renato Castiglia Feitosa, Julio Cesar Wasserman

Open access · bronzeAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 1 country.

Marcos Tavares CarneiroPrograma de Pós-Graduação em Sistemas de Gestão Sustentáveis, Escola de Engenharia UFF, Niterói, Brazil.ORCID https://orcid.org/0000-0002-8419-8549
Daniel Vidal PerezEMBRAPA-Solos, Rio de Janeiro, Brazil.
Renato Castiglia FeitosaDepartamento de Saneamento, Escola Nacional de Saúde Pública, FIOCRUZ, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-0724-1993
Julio Cesar WassermanNetwork for the Environment and Sustainable Development and Post-Graduation Program in Geochemistry, University Federal Fluminense, Niterói, Brazil. geowass@vm.uff.br.ORCID https://orcid.org/0000-0002-7828-5240
Escola Nacional de Saúde Pública · BRBrazilian Agricultural Research Corporation · BRUniversidade Federal Fluminense · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR) 306714/2013-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (BR) #001Fundação Oswaldo Cruz (BR) #
6 · The paper itself

Abstract

Obtaining uncultured Escherichia coli from natural waters is an important step in the study of microbes in the environment, which are critical for bacterial decay and microbial source tracking. The quality of the samples used can influence the assays, because high contaminant concentrations, differing cell ages, and physiologic states can impair results. The proposed separation is based on a three-step filtration method applied to replicates of seven samples from a sewage plant affluent, collected in different periods. Aliquots of the leachate were inoculated into microcosms, aiming to observe the cultivability of the cells. The assay resulted in colimetry values ranging between 10

Indexed as

Colony Count, MicrobialEscherichia coliFiltrationFresh WaterSewageWater MicrobiologySewageBacteria decayEscherichia coliMicrobial source trackingWastewaterWild strains

Identifiers

PMID32920714
PMCPMC7688740
OpenAlexW3084832207

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.