Evidence map›Paper›PMID 33397948›Full record

ArticleNature communications2021

Universal and tunable liquid-liquid separation by nanoparticle-embedded gating membranes based on a self-defined interfacial parameter.

Xiangyu Li, Jingjing Liu, Ruixiang Qu, Weifeng Zhang, Yanan Liu, Huajun Zhai, Yen Wei, Hanshi Hu, Lin Feng

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Scalable and switchable CONature communications · 2023
    Article
  4. Review
  5. 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

9 authors.

Xiangyu LiDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.ORCID http://orcid.org/0000-0002-5260-2308
Jingjing LiuDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Ruixiang QuDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Weifeng ZhangHangzhou Innovation Research Institute of Beihang University, 310051, Hangzhou, P.R. China.
Yanan LiuDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Huajun ZhaiDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Yen WeiDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Hanshi HuDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China.
Lin FengDepartment of Chemistry, Tsinghua University, 100084, Beijing, P.R. China. fl@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-6208-4436

Funding

National Natural Science Foundation of China (National Science Foundation of China) 51173099
6 · The paper itself

Abstract

Superwetting porous membranes with tunable liquid repellency are highly desirable in broad domains including scientific research, chemical industry, and environmental protection. Such membranes should allow for controllable droplet bouncing or spreading, which is difficult to achieve for low surface energy organic liquids (OLs). Here we develop an interfacial physical parameter to regulate the OL wettability of nanoparticle-embedded membranes by structuring synergistic layers with reconfigurable surface energy components. Under the tunable solid-liquid interaction in the aggregation-induced process, the membranes demonstrate positive/negative liquid gating regularity for polar protic liquids, polar aprotic liquids, and nonpolar liquids. Such a membrane can be employed as self-adaptive gating for various immiscible liquid mixtures with superior separation efficiency and permeation flux, even afford successive achievement of high-performance in situ extraction-back extraction coupling. This study should provide distinctive insights into intrinsic wetting behaviors and have pioneered a rational strategy to design high-performance separation materials for diverse applications.

Identifiers

PMID33397948
PMCPMC7782719

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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.