Evidence map›Paper›PMID 40137027›Full record

ArticleMembranes2025

Tailoring the Performance of a Composite PEI Nanofiltration Membrane via Incorporating Activated PDA for Efficient Dye Sieving and Salt Separation.

Wanting Li, Jiaye Liu, Weifu Wang, Shichun Chen, Fengwei Jia, Xiang Li, Ying Zhao, Wenjuan Zhang, Dan Song, Jun Ma

Abstract read
In one paragraph

Article in Membranes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Wanting LiTianjin Key Laboratory of Aquatic Science and Technology, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Jiaye LiuState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
Weifu WangTianjin Key Laboratory of Aquatic Science and Technology, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Shichun ChenPetroChina Harbin Petrochemical Company, Harbin 150056, China.
Fengwei JiaSchool of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China.
Xiang LiSchool of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China.
Ying ZhaoState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
Wenjuan ZhangTianjin Key Laboratory of Aquatic Science and Technology, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China.ORCID 0000-0002-9346-1580
Dan SongState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
Jun MaState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.

Funding

National Natural Science Foundation of China 52100011National Natural Science Foundation of China 52200007National Natural Science Foundation of China 52200010Open Project of State Key Laboratory of Urban Water Resource and Environment QA202325
6 · The paper itself

Abstract

Efficient dye sieving and salt separation can facilitate the recycling of valuable resources in textile wastewater treatment. This study focuses on developing a high-performance nanofiltration membrane (NF) by co-depositing activated polydopamine (O-PDA), oxidized with KMnO

Indexed as

activated polydopaminedye/salt separationKMnO4 oxidationnanofiltration membranespolyethylenimine

Identifiers

PMID40137027
PMCPMC11943965

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.