Evidence map›Paper›PMID 32455983›Full record

ReviewMembranes2020

Metal and Covalent Organic Frameworks for Membrane Applications.

Mingyuan Fang, Carmen Montoro, Mona Semsarilar

Abstract readReview
In one paragraph

Review in Membranes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. COChemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
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

3 authors.

Mingyuan FangInstitut Européen des Membranes-IEM UMR 5635, Univ Montpellier, CNRS, ENSCM, 34095 Montpellier, France.
Carmen MontoroInstitut Européen des Membranes-IEM UMR 5635, Univ Montpellier, CNRS, ENSCM, 34095 Montpellier, France.ORCID 0000-0003-4984-2973
Mona SemsarilarInstitut Européen des Membranes-IEM UMR 5635, Univ Montpellier, CNRS, ENSCM, 34095 Montpellier, France.ORCID 0000-0002-1544-1824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Better and more efficient membranes are needed to face imminent and future scientific, technological and societal challenges. New materials endowed with enhanced properties are required for the preparation of such membranes. Metal and Covalent Organic Frameworks (MOFs and COFs) are a new class of crystalline porous materials with large surface area, tuneable pore size, structure, and functionality, making them a perfect candidate for membrane applications. In recent years an enormous number of articles have been published on the use of MOFs and COFs in preparation of membranes for various applications. This review gathers the work reported on the synthesis and preparation of membranes containing MOFs and COFs in the last 10 years. Here we give an overview on membranes and their use in separation technology, discussing the essential factors in their synthesis as well as their limitations. A full detailed summary of the preparation and characterization methods used for MOF and COF membranes is given. Finally, applications of these membranes in gas and liquid separation as well as fuel cells are discussed. This review is aimed at both experts in the field and newcomers, including students at both undergraduate and postgraduate levels, who would like to learn about preparation of membranes from crystalline porous materials.

Indexed as

COF membranesfuel cellsgas separationliquid separationsmembrane characterisationMOF membranes

Identifiers

PMID32455983
PMCPMC7281687

What OpenQuestion holds

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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.