Evidence map›Paper›PMID 42403064›Full record

ArticleSmall methods2026

Molecular-Nano Integrated Design of Hydrogel Hybrid Membranes for Oily Organic Wastewater Treatment.

Zhihong Yu, Yilong Yang, Deke Li, Jinxia Huang, Zhiguang Guo

Abstract read
In one paragraph

Article in Small methods, 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

5 authors.

Zhihong YuMinistry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei University, Wuhan, P. R. China.
Yilong YangMinistry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei University, Wuhan, P. R. China.
Deke LiState Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, P. R. China.ORCID https://orcid.org/0000-0001-6970-1188
Jinxia HuangState Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, P. R. China.
Zhiguang GuoMinistry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei University, Wuhan, P. R. China.ORCID https://orcid.org/0000-0002-4438-3344

Funding

Lanzhou Science and Technology Bureau 2024-3-52Science and Technology Program of Gansu Province 25JR6KA014
6 · The paper itself

Abstract

Global industrialization has intensified the discharge of organic pollutants into aquatic ecosystems, with highly toxic and recalcitrant industrial wastewater emerging as a critical constraint on sustainable ecological development. Herein, a hydrogel coating fabrication strategy combining solvent-induced phase separation and nanoparticle hybridization was developed to generate hydrogel coatings with high surface roughness and uniform porous structure, addressing the trade-off between separation flux and separation efficiency that constrains conventional hydrogel oil-water separation membranes. The spatial confinement effect of these nanoparticles was leveraged in conjunction with solvent-induced phase separation to enable one-step, controllable construction of a hierarchical porous structure. This approach integrates three functions-initiation, pore formation, and functionalization-within a single nanocomponent. Based on this approach, we fabricated a zwitterionic gel membrane featuring systematic molecular- and nano-level design and assembly. TiO

Indexed as

hydrogel hybrid membraneoil–water separationphotocatalytic degradationsuper hydrophilicsuper oleophobic

Identifiers

PMID42403064
PMCPMC13450080

What OpenQuestion holds

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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.