Amphiphilic nanowire-assisted monomer shuttling enables ultra-selective reverse osmosis membranes for water purification.

Huimin Zhou, Xingran Zhang, Zhouyan Li, Zhiwei Qiu, Zhe Yang, Ruobin Dai, Zhiwei Wang

Abstract read

In one paragraph

Article in Nature communications, 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

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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.

Huimin ZhouState Key Laboratory of Water Pollution Control and Green Resource Recycling, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Xingran ZhangCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.

Zhouyan LiState Key Laboratory of Water Pollution Control and Green Resource Recycling, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Zhiwei QiuState Key Laboratory of Water Pollution Control and Green Resource Recycling, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Zhe YangDow Centre for Sustainable Engineering Innovation, School of Chemical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID http://orcid.org/0000-0003-0753-3902

Ruobin DaiState Key Laboratory of Water Pollution Control and Green Resource Recycling, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. dairuobin@tongji.edu.cn.ORCID http://orcid.org/0000-0001-8971-6838

Zhiwei WangState Key Laboratory of Water Pollution Control and Green Resource Recycling, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. zwwang@tongji.edu.cn.ORCID http://orcid.org/0000-0001-6729-2237

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52430001National Natural Science Foundation of China (National Science Foundation of China) 52470091

6 · The paper itself

Abstract

Reverse osmosis (RO) membrane separation is vital for the advanced removal of contaminants, playing a key role in safe water supply. However, existing RO membranes fall remarkably short in adequate removal of small neutral organic contaminants (SNOCs ≤150 Da), due to the structural heterogeneity and nanosized defects of polyamide (PA) rejection layers. To address these challenges, we propose creating a continuous solid-phase interface using amphiphilic Cd

Identifiers

PMID40603836

DOI10.1038/s41467-025-61488-5

PMCPMC12223201

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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.