Evidence map›Paper›PMID 31809502›Full record

ArticlePloS one2019

Application of enhanced assimilable organic carbon method across operational drinking water systems.

Frances C Pick, Katherine E Fish, Catherine A Biggs, Jonathan P Moses, Graeme Moore, Joby B Boxall

Abstract readValidation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Frances C PickPennine Water Group, Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-4736-7892
Katherine E FishPennine Water Group, Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, United Kingdom.
Catherine A BiggsSchool of Engineering, Newcastle University, Newcastle, United Kingdom.
Jonathan P MosesScottish Water, Perth, United Kingdom.
Graeme MooreScottish Water, Edinburgh, United Kingdom.
Joby B BoxallPennine Water Group, Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assimilable organic carbon (AOC) is known to correlate with microbial growth, which can consequently degrade drinking water quality. Despite this, there is no standardised AOC test that can be applied to drinking water distribution systems (DWDS). Herein we report the development of a quick, robust AOC that incorporates known strains Pseudomonas fluorescens strain P-17 and Spirillum strain NOX, a higher inoculum volume and enumeration using flow cytometry to generate a quicker (total test time reduced from 14 to 8 days), robust method. We apply the developed AOC test to twenty drinking water treatment works (WTW) to validate the method reproducibility and resolution across a wide range of AOC concentrations. Subsequently, AOC was quantified at 32 sample points, over four DWDS, for a year in order to identify sinks and sources of AOC in operative networks. Application of the developed AOC protocol provided a previously unavailable insight and novel evidence of pipes and service reservoirs exhibiting different AOC and regrowth behaviour. Observed correlations between AOC and microbial growth highlight the importance of monitoring AOC as an integral part of managing drinking water quality at the consumers tap.

Indexed as

CarbonDrinking WaterFlow CytometryOrganic ChemicalsPseudomonas fluorescensReproducibility of ResultsSpirillumWater MicrobiologyWater PurificationWater QualityCarbonDrinking WaterOrganic Chemicals

Identifiers

PMID31809502
PMCPMC6897430

What OpenQuestion holds

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Registered trials

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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.