Evidence map›Paper›PMID 42495373›Full record

ArticleACS omega2026

High-Flux Halloysite Nanotube-Reinforced PVDF Membranes with Zwitterionic Coating for One-Step Separation of Complex Oil-Water Emulsions.

Mingyang Lin, Dongming Xia, Xinghe Li, Junming He, Zheng Chen, Hongyan Pan, Mingrui Liao

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

7 authors.

Mingyang LinSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.
Dongming XiaSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.
Xinghe LiSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.
Junming HeSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.
Zheng ChenSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.ORCID https://orcid.org/0000-0002-6073-7288
Hongyan PanSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, Guizhou 550025, China.ORCID https://orcid.org/0000-0002-0958-8985
Mingrui LiaoBiological Physics Laboratory, Department of Physics and Astronomy, School of Natural Science, The University of Manchester, Oxford Road, Manchester M13 9PL, U.K.ORCID https://orcid.org/0000-0002-9481-4026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrial oily wastewater containing heavy metal ions threatens ecosystems and human health, and developing high-flux multifunctional membranes for their simultaneous removal is a critical challenge. Herein, a high-flux multifunctional polyvinylidene fluoride composite membrane, HNTs/PVDF@PDA/PSBMA, was fabricated by blending halloysite nanotubes (HNTs) into the PVDF matrix via nonsolvent-induced phase separation (NIPS), followed by surface modification with a polydopamine (PDA)/poly-(sulfobetaine methacrylate) (PSBMA) zwitterionic coating. HNTs introduced one-dimensional water channels via inner/outer surface hydroxyl groups to boost water flux and provide active sites for heavy metal adsorption, while the PDA/PSBMA coating formed a robust hydration layer through electrostatic interactions with water molecules, endowing excellent antifouling and underwater oleophobicity as well as additional heavy metal adsorption capacity. Under optimized conditions (1.0 wt % HNTs, 2.0 mg/mL PSBMA), the HNTs/PVDF@PDA/PSBMA membrane exhibited a drastically enhanced water flux of 528.6 L·m

Identifiers

PMID42495373
PMCPMC13393212

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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.