Evidence map›Paper›PMID 34870579›Full record

ArticleMicrobiology (Reading, England)2021

Looking through the FOG: microbiome characterization and lipolytic bacteria isolation from a fatberg site.

Elizabeth K Court, Roy R Chaudhuri, Rahul V Kapoore, Raffaella X Villa, Jagroop Pandhal, Catherine A Biggs, Graham P Stafford

Open access · hybridAbstract read
In one paragraph

Article in Microbiology (Reading, England), 2021. 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
0.2field-weighted citation impact, top 59% 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, 4 citations in OpenAlex.

  1. Microbial Musings - December 2021.Microbiology (Reading, England) · 2021
    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

7 authors at 4 institutions in 1 country.

Elizabeth K CourtIntegrated BioScience Group, School of Clinical Dentistry, University of Sheffield, Sheffield, UK.
Roy R ChaudhuriDepartment of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK.
Rahul V KapooreDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, UK.
Raffaella X VillaDepartment of Engineering and Sustainable Development, De Montfort University, Leicester, UK.
Jagroop PandhalDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, UK.
Catherine A BiggsEnvironmental Engineering Group, School of Engineering, Newcastle University, Newcastle, UK.
Graham P StaffordIntegrated BioScience Group, School of Clinical Dentistry, University of Sheffield, Sheffield, UK.
University of Sheffield · GBDe Montfort University · GBNewcastle University · GBSwansea University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L024209/1
6 · The paper itself

Abstract

Sewer systems are complex physical, chemical and microbial ecosystems where fats, oils and grease (FOG) present a major problem for sewer management. Their accumulation can lead to blockages ('Fatbergs'), sewer overflows and disruption of downstream wastewater treatment. Further advancements of biological FOG treatments need to be tailored to degrade the FOG, and operate successfully within the sewer environment. In this study we developed a pipeline for isolation of lipolytic strains directly from two FOG blockage sites in the UK, and isolated a range of highly lipolytic bacteria. We selected the five most lipolytic strains using Rhodamine B agar plates and pNP-Fatty acid substrates, with two

Indexed as

MicrobiotaSewageBacteriaFatsOilsFatsOilsSewagefatbergfat oil and greaseFOGmicrobial communitieswastewater

Identifiers

PMID34870579
PMCPMC8744997
OpenAlexW4200020332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.