Evidence map›Paper›PMID 41992063›Full record

ArticleNature nanotechnology2026

Versatile heavy metal ion separation via biological ion-channel-inspired membranes.

Yongye Zhao, Hongfei Gao, Lei Yu, Qi Li, Chaoxu Li, Lei Jiang, Jun Gao

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 2026. 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

7 authors.

Yongye Zhao *State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.ORCID http://orcid.org/0009-0007-2939-5594
Hongfei Gao *State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.
Lei YuState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.
Qi LiState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.
Chaoxu LiState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China. licx@qibebt.ac.cn.ORCID http://orcid.org/0000-0003-0276-834X
Lei JiangCAS Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China.
Jun GaoState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China. jun.gao@qibebt.ac.cn.ORCID http://orcid.org/0000-0003-2106-3134

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22272194
6 · The paper itself

Abstract

Solvent extraction and adsorption methods are predominantly used to extract heavy metal ions by binding them selectively. However, these methods require excessive chemical use and cause environmental problems. The membrane separation method avoids these problems but remains poorly compatible with heavy metal ions. In nature, biological Ca

Indexed as

Ion ChannelsMembranes, ArtificialMetals, HeavyAdsorptionIonsSeawaterUraniumIon ChannelsIonsMembranes, ArtificialMetals, HeavyUranium

Identifiers

What OpenQuestion holds

Textmetadata
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.