Evidence map›Paper›PMID 34405325›Full record

ArticleEnvironmental science and pollution research international2022

Identification of micropollutants from graywater of different complexity and remediation using multilayered membranes.

Manappillil K Athullya, Devadasan Dineep, Mary L Mathew, Charuvila T Aravindakumar, Usha K Aravind

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Manappillil K AthullyaSchool of Environmental Sciences, Mahatma Gandhi University, Kottayam, Kerala, 686560, India.
Devadasan DineepInter University Instrumentation Centre, Mahatma Gandhi University, Kottayam, Kerala, 686560, India.
Mary L MathewSchool of Environmental Sciences, Mahatma Gandhi University, Kottayam, Kerala, 686560, India.
Charuvila T AravindakumarSchool of Environmental Sciences, Mahatma Gandhi University, Kottayam, Kerala, 686560, India. cta@mgu.ac.in.
Usha K AravindSchool of Environmental Studies, Cochin University of Science and Technology, Kochi, Kerala, 682022, India. uka@cusat.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graywater reuse is one of the important concepts in attaining water sustainability. A major challenge in this area is to realize various components present in graywater. The present study involves the identification of the chemical components of graywater collected from three different environments and to investigate the efficiency of removal of some of these chemical components using ultrafiltration membranes (polyelectrolyte multilayer (PEM) membranes). The chemical components were analyzed using liquid chromatography connected with quadrupole time-of-flight (UPLC-Q-ToF-MS). A number of micropollutants including surfactants and certain contaminants of emerging concern (CECs) were identified from these samples. Out of 16 compounds identified, 13 were surfactants and the remaining were caffeine, oxybenzone, and benzophenone. These surfactants are mostly the ingredients of various detergents. Low-pressure filtration studies of the collected samples were carried out utilizing chitosan/polyacrylic acid (CHI/PAA) multilayer membranes. A 5.5 bilayer membrane showed more than 95% rejection of the identified compounds in the selected samples and significant improvement in the water quality parameters. This demonstrates that the membrane used in this work is effective in the removal of various chemicals from graywater as well as enhancing the water quality.

Indexed as

FiltrationWater Pollutants, ChemicalChromatography, High Pressure LiquidChromatography, LiquidSurface-Active AgentsSurface-Active AgentsWater Pollutants, ChemicalMass spectrometryMultilayer membranesSurfactantsUltrafiltrationWater remediationWater treatment

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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.