Evidence map›Paper›PMID 28462431›Full record

ArticleEnvironmental science and pollution research international2018

Total staphylococci as performance surrogate for greywater treatment.

David C Shoults, Nicholas J Ashbolt

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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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

2 authors.

David C ShoultsSchool of Public Health, University of Alberta, Room 3-57, South Academic Building, Edmonton, AB, T6E 2G7, Canada. dshoults@ualberta.ca.
Nicholas J AshboltSchool of Public Health, University of Alberta, Room 3-57, South Academic Building, Edmonton, AB, T6E 2G7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Faecal indicator bacteria (FIB) are commonly used as water quality indicators; implying faecal contamination and therefore the potential presence of pathogenic enteric bacteria, viruses, and protozoa. Hence in wastewater treatment, the most commonly used treatment process measures (surrogates) are total coliforms, faecal coliforms, Escherichia coli (E. coli), and enterococci. However, greywater potentially contains skin pathogens unrelated to faecal load, and E. coli and other FIB may grow within greywater unrelated to pathogens. Overall, FIB occurs at fluctuating and relatively low concentrations compared to other endogenous greywater bacteria affecting their ability as surrogates for pathogen reduction. Therefore, unlike municipal sewage, FIB provides a very limited and unreliable log-reduction surrogate measure for on-site greywater treatment systems. Based on our recent metagenomic study of laundry greywater, skin-associated bacteria such as Staphylococcus, Corynebacterium, and Propionibacterium spp. dominate and may result in more consistent treatment surrogates than traditional FIB. Here, we investigated various Staphylococcus spp. as potential surrogates to reliably assay over 4-log

Indexed as

BacteriaBacteriophagesDisinfectionEnterobacteriaceaeEnterococcusEscherichia coliFecesHumansStaphylococcusStaphylococcus aureusUltraviolet RaysWaste Disposal, FluidWastewaterWater MicrobiologyWater PurificationWater QualityWastewaterCollimated beamGraywaterGreywaterIndicator organismsStaphylococciStaphylococcusSurrogatesUV disinfectionWater treatment

Identifiers

PMID28462431
PMCPMC6245020

What OpenQuestion holds

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LicenceCC BY
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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.