Evidence map›Paper›PMID 29487910›Full record

ArticleScience advances2018

Ultrafast selective transport of alkali metal ions in metal organic frameworks with subnanometer pores.

Huacheng Zhang, Jue Hou, Yaoxin Hu, Peiyao Wang, Ranwen Ou, Lei Jiang, Jefferson Zhe Liu, Benny D Freeman, Anita J Hill, Huanting Wang

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
16.7field-weighted citation impact, top 1% of its field
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

88 citing papers in PubMed, 1 synthesis or guideline pooled it, 551 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Hierarchically Soft Porous MOF-Polymer Monolith for Fast and Large-Scale Moisture Buffering.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  5. Optoelectronic Nanofluidic Neural Networks for Ionic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
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  20. Enhancing Membrane Materials for Efficient Li Recycling and Recovery.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review

28 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Huacheng ZhangDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0001-5464-2947
Jue HouDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0003-0325-6979
Yaoxin HuDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0002-9415-956X
Peiyao WangDepartment of Mechanical and Aerospace Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0003-0406-4952
Ranwen OuDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0002-0434-3188
Lei JiangDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0003-4579-728X
Jefferson Zhe LiuDepartment of Mechanical and Aerospace Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0002-5282-7945
Benny D FreemanDepartment of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Austin, TX 78712, USA.ORCID 0000-0003-2779-7788
Anita J HillFuture Industries, Commonwealth Scientific and Industrial Research Organization, Private Bag 10, Clayton South MDC, Victoria 3169, Australia.
Huanting WangDepartment of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0002-9887-5555
Monash University · AUChinese Academy of Sciences · CNHealth Sciences and Nutrition · AUThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous membranes with ultrafast ion permeation and high ion selectivity are highly desirable for efficient mineral separation, water purification, and energy conversion, but it is still a huge challenge to efficiently separate monatomic ions of the same valence and similar sizes using synthetic membranes. We report metal organic framework (MOF) membranes, including ZIF-8 and UiO-66 membranes with uniform subnanometer pores consisting of angstrom-sized windows and nanometer-sized cavities for ultrafast selective transport of alkali metal ions. The angstrom-sized windows acted as ion selectivity filters for selection of alkali metal ions, whereas the nanometer-sized cavities functioned as ion conductive pores for ultrafast ion transport. The ZIF-8 and UiO-66 membranes showed a LiCl/RbCl selectivity of ~4.6 and ~1.8, respectively, which are much greater than the LiCl/RbCl selectivity of 0.6 to 0.8 measured in traditional porous membranes. Molecular dynamics simulations suggested that ultrafast and selective ion transport in ZIF-8 was associated with partial dehydration effects. This study reveals ultrafast and selective transport of monovalent ions in subnanometer MOF pores and opens up a new avenue to develop unique MOF platforms for efficient ion separations in the future.

Identifiers

PMID29487910
PMCPMC5817922
OpenAlexW2790292783

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.