Evidence map›Paper›PMID 41696210›Full record

ArticleACS omega2026

Superhydrophobic Nanocomposite Polysulfone Fibrous Membranes Incorporated with Phenyltriethoxysilane-Modified Silica for Oil-Water Separation.

Safiye Gözde Palamutcu, Zuleyha Sarac, Cigdem Tasdelen-Yucedag

Abstract read
In one paragraph

Article in ACS omega, 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

3 authors.

Safiye Gözde PalamutcuDepartment of Chemical Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Turkey.ORCID https://orcid.org/0009-0003-7791-373X
Zuleyha SaracDepartment of Chemical Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Turkey.ORCID https://orcid.org/0000-0003-4266-2558
Cigdem Tasdelen-YucedagDepartment of Chemical Engineering, Gebze Technical University, Gebze, Kocaeli 41400, Turkey.ORCID https://orcid.org/0000-0003-1232-5462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oily wastewater originating from industrial activities and domestic effluents has been one of the major sources of pollution, leading to contamination of clean water supplies and jeopardizing aquatic ecosystems. Water pollution accompanied by water scarcity manifests the compelling need for advanced next-generation membrane-based treatment strategies. In this study, high flux, robust, durable, and superhydrophobic nanocomposite fibrous membranes including silica nanoparticles were produced via electro-blow spinning (EBS) of polysulfone (PSU). To enhance water repellency, the surface of nanoparticles was functionalized with phenyltriethoxysilane (PTES). The amount of disperse phase was optimized by the addition of PTES-modified silica (SPTES) nanoparticles into the polymer spinning solution at changing ratios between 1 and 10 wt %. The best membrane performance was obtained with the membrane specimen including 5 wt % SPTES (PSU@SPTES-5). This SPTES ratio stimulated the dense distribution of silica nanoparticles, resulting in distinct surface roughness. Due to the incorporation of SPTES, the water contact angle (WCA) of pristine PSU membrane was enhanced from hydrophobic (129.9°) range to superhydrophobic (154.3°) range. The PSU@SPTES-5 membrane sample exhibited excellent performance in both strength and elongation, maintaining durability while preserving flexibility. Furthermore, its initial decomposition temperature increased from 437 to 461 °C, while char yield shifted from 12.2 to 30.9% relative to PSU. The separation efficiencies of PSU@SPTES-5 were measured as 99.4%, 96.6%, 99.9%, and 86.5% for diesel, CCl

Identifiers

PMID41696210
PMCPMC12903161

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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.