Evidence map›Paper›PMID 41432888›Full record

ArticleNano convergence2025

Robust functional nanohybrid surface enables long-term oily wastewater remediation.

Zheng Chen, Xuanyu Zhou, Hongyuan Zhang, Yuxiang Xue, Nurul Ain Mazlan, Siyu Chen, Xiuming Wei, Xianfeng Chen, Yi Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano convergence, 2025. 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

9 authors.

Zheng ChenInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.ORCID http://orcid.org/0009-0009-9652-7010
Xuanyu ZhouInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.
Hongyuan ZhangInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.
Yuxiang XueInstitute for Bioengineering, School of Engineering, The University of Edinburgh, Faraday Building, Edinburgh, EH9 3DW, UK.
Nurul Ain MazlanInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.
Siyu ChenInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.
Xiuming WeiInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK.
Xianfeng ChenInstitute for Bioengineering, School of Engineering, The University of Edinburgh, Faraday Building, Edinburgh, EH9 3DW, UK.ORCID http://orcid.org/0000-0002-3189-2756
Yi HuangInstitute for Materials & Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK. yi.huang@ed.ac.uk.ORCID http://orcid.org/0000-0003-0733-3513

Funding

Jiangsu Dingying New Materials Co., Ltd. RB0909 and 12765733Royal Society IEC\NSFC\223391
6 · The paper itself

Abstract

Robust and scalable materials for oil-water separation are often limited by corrosion, fouling, and mechanical damage. Here, we demonstrate a simple, rapid, and low-temperature surface conversion that transforms commercial 316L stainless-steel meshes into superhydrophilic, underwater-oleophobic filters. A two-step reaction followed by Fe

Indexed as

Long-term stabilityNanohybridOily wastewater remediationRobust separation performanceSuperhydrophilic surface

Identifiers

PMID41432888
PMCPMC12728155

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.