Evidence map›Paper›PMID 42783541›Full record

ArticleMembranes2026

Optimization of 2D Ag-MBene-Modified Polyethersulfone Ultrafiltration Membranes for Enhanced Water Treatment Performance.

Asam Amin Almulla, Fikri T Dweiri

Abstract read
In one paragraph

Article in Membranes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Asam Amin AlmullaDepartment of Industrial Engineering and Engineering Management, University of Sharjah, Sharjah 27272, United Arab Emirates.ORCID 0000-0002-1581-3106
Fikri T DweiriDepartment of Industrial Engineering and Engineering Management, University of Sharjah, Sharjah 27272, United Arab Emirates.ORCID 0000-0001-5360-2142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modified PES ultrafiltration membranes containing Ag-MBene nanoparticles were developed via the non-solvent-induced phase separation (NIPS) technique and evaluated for tertiary-treated sewage (TSE) filtration applications. This study aims to establish an integrated understanding of membrane structure, properties, and performance by correlating morphology, roughness, hydrophilicity, porosity, permeability, antifouling properties, and pollutant rejection capabilities. Ag-MBene nanomaterials were incorporated into the PES membrane at various loading concentrations to increase the membrane hydrophilicity and antifouling characteristics. The detailed characterization of membrane samples was performed using SEM, AFM, EDS, FTIR, contact angle analysis, and porosity evaluation. The membranes exhibited distinct structural features after the addition of Ag-MBene nanomaterials. SEM analysis revealed enhanced macropore formation and increased pore interconnectivity at a relatively moderate loading concentration of nanoparticles. AFM analysis further confirmed progressive membrane roughness enhancement after incorporating Ag-MBene particles. The contact angle decreased from 81.2° (UF00) to 47.3° (UF1.5), indicating enhanced hydrophilicity of the modified membranes. UF0.5 exhibited the most balanced overall performance due to optimized pore morphology, improved wettability, and uniform nanoparticle dispersion. The modified membranes also exhibited enhanced flux performance, more reversible fouling behavior, and improved chemical oxygen demand (COD)/total suspended solids (TSS) removal efficiency than pristine membranes. ANOVA revealed significant differences among various membranes (

Indexed as

Ag-MBeneantifoulingpolyethersulfoneultrafiltrationwastewater treatment

Identifiers

PMID42783541
PMCPMC13609314

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.