Evidence map›Paper›PMID 36839105›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Antifouling and Antimicrobial Study of Nanostructured Mixed-Matrix Membranes for Arsenic Filtration.

Tawsif Siddique, Sheeana Gangadoo, Duy Quang Pham, Naba K Dutta, Namita Roy Choudhury

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 38 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Tawsif SiddiqueChemical and Environmental Engineering, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0001-5018-8716
Sheeana GangadooChemical and Environmental Engineering, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-7803-8899
Duy Quang PhamCollege of Medicine and Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia.ORCID 0000-0001-8300-9518
Naba K DuttaChemical and Environmental Engineering, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-4800-1910
Namita Roy ChoudhuryChemical and Environmental Engineering, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0001-9010-8506
RMIT University · AUFlinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane fouling is a major drawback in the membrane filtration industry for water treatment. Mixed-matrix membranes (MMMs) are well known for their enhanced antifouling and antibacterial properties, which could offer potential benefits for membrane filtration processes in the water treatment field. In this work, three electrospun nanofibrous MMMs (P, CP, and MCP, which were, respectively, the pristine polysulfone membrane and mixed-matrix membranes (MMMs) consisting of GO-ZnO and GO-ZnO-iron oxides) were studied for antifouling and antibacterial properties with respect to the arsenic nanofiltration process. The effects of these composites on the antifouling behaviour of the membranes were studied by characterising the bovine serum albumin (BSA) protein adsorption on the membranes and subsequent analysis using microscopic (morphology via scanning electron microscopy) and Brunauer-Emmett-Teller (BET) analyses. The antibacterial properties of these membranes were also studied against Gram-positive

Indexed as

antibacterialantifoulingarsenicmixed-matrix membranepolysulfone

Identifiers

PMID36839105
PMCPMC9964044
OpenAlexW4320917652

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.