Evidence map›Paper›PMID 42043011›Full record

ArticleMembranes2026

Transport and Separation Characteristics of PVDF-Based Nanocomposite Membranes in Membrane Distillation.

Syed Farzan Ali Shah, Naif A Darwish, Nabil Abdel Jabbar, Sameer Al-Asheh, Muhammad Qasim, Farouq S Mjalli

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

6 authors.

Syed Farzan Ali ShahDepartment of Chemical and Biological Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Naif A DarwishDepartment of Chemical and Biological Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Nabil Abdel JabbarDepartment of Chemical and Biological Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.ORCID 0000-0002-2031-685X
Sameer Al-AshehDepartment of Chemical and Biological Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.ORCID 0000-0003-1012-427X
Muhammad QasimDepartment of Chemical and Biological Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Farouq S MjalliPetroleum and Chemical Engineering Department, Sultan Qaboos University, Muscat 123, Oman.

Funding

American University of Sharjah FRG24-C-E68
6 · The paper itself

Abstract

Water scarcity has increased the need for efficient treatment technologies such as membrane distillation (MD). PMD performance depends strongly on membrane fabrication parameters, particularly polymer concentration and nanoparticle incorporation, which control key transport and separation properties. This study considers fabrication of membranes using different concentrations of polyvinylidene fluoride (PVDF) with the incorporation of different types of nanoparticles to determine the optimum membrane formulation for membrane distillation applications. The results demonstrate that both PVDF concentration and nanoparticle type play a critical role in membrane performance in terms of permeate flux and salt rejection. Among the nanoparticles studied in this work, carbon nanotubes (CNTs) exhibited the most significant enhancement, leading to a substantial increase in water vapor flux while maintaining excellent separation efficiency. The optimized CNT incorporated membrane achieved approximately 99% salt rejection, with superior flux performance, indicating its strong potential for high-efficiency desalination and water treatment using membrane distillation.

Indexed as

carbon nano-tubesmembrane distillationphase inversionPVDF

Identifiers

PMID42043011
PMCPMC13118208

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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.