Evidence map›Paper›PMID 26895622›Full record

ArticleEnvironmental science & technology2016

Bioaugmentation Mitigates the Impact of Estrogen on Coliform-Grazing Protozoa in Slow Sand Filters.

Sarah-Jane Haig, Caroline Gauchotte-Lindsay, Gavin Collins, Christopher Quince

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2016. 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
2.1field-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

7 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Sarah-Jane HaigSchool of Engineering, Rankine Building, University of Glasgow , Glasgow G12 8LT, U.K.
Caroline Gauchotte-LindsaySchool of Engineering, Rankine Building, University of Glasgow , Glasgow G12 8LT, U.K.
Gavin CollinsSchool of Engineering, Rankine Building, University of Glasgow , Glasgow G12 8LT, U.K.
Christopher QuinceSchool of Engineering, Rankine Building, University of Glasgow , Glasgow G12 8LT, U.K.
Ollscoil na Gaillimhe – University of Galway · IE

Funding

Medical Research Council MR/L015080/1Medical Research Council MR/M50161X/1
6 · The paper itself

Abstract

Exposure to endocrine-disrupting chemicals (EDCs), such as estrogens, is a growing issue for human and animal health as they have been shown to cause reproductive and developmental abnormalities in wildlife and plants and have been linked to male infertility disorders in humans. Intensive farming and weather events, such as storms, flash flooding, and landslides, contribute estrogen to waterways used to supply drinking water. This paper explores the impact of estrogen exposure on the performance of slow sand filters (SSFs) used for water treatment. The feasibility and efficacy of SSF bioaugmentation with estrogen-degrading bacteria was also investigated, to determine whether removal of natural estrogens (estrone, estradiol, and estriol) and overall SSF performance for drinking water treatment could be improved. Strains for SSF augmentation were isolated from full-scale, municipal SSFs so as to optimize survival in the laboratory-scale SSFs used. Concentrations of the natural estrogens, determined by gas chromatography coupled with mass spectrometry (GC-MS), revealed augmented SSFs reduced the overall estrogenic potency of the supplied water by 25% on average and removed significantly more estrone and estradiol than nonaugmented filters. A negative correlation was found between coliform removal and estrogen concentration in nonaugmented filters. This was due to the toxic inhibition of protozoa, indicating that high estrogen concentrations can have functional implications for SSFs (such as impairing coliform removal). Consequently, we suggest that high estrogen concentrations could impact significantly on water quality production and, in particular, on pathogen removal in biological water filters.

Indexed as

DictyosteliumEndocrine DisruptorsEnterobacteriaceaeEnvironmentEstradiolEstriolEstrogensEstroneGas Chromatography-Mass SpectrometrySilicon DioxideWater Pollutants, ChemicalWater PurificationWater QualityEndocrine DisruptorsEstradiolEstriolEstrogensEstroneSilicon DioxideWater Pollutants, Chemical

Identifiers

PMID26895622
PMCPMC4841604
OpenAlexW2279801152

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.