Evidence map›Paper›PMID 37169838›Full record

ArticleCommunications chemistry2023

Mapping nanocrystalline disorder within an amorphous metal-organic framework.

Adam F Sapnik, Chao Sun, Joonatan E M Laulainen, Duncan N Johnstone, Rik Brydson, Timothy Johnson, Paul A Midgley, Thomas D Bennett, Sean M Collins

Abstract read
In one paragraph

Article in Communications chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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.

Adam F SapnikDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-6200-4208
Chao SunSchool of Chemical and Process Engineering, University of Leeds, Leeds, UK.
Joonatan E M LaulainenDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.
Duncan N JohnstoneDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.
Rik BrydsonSchool of Chemical and Process Engineering, University of Leeds, Leeds, UK.
Timothy JohnsonJohnson Matthey Technology Centre, Blount's Court, Sonning Common, Reading, UK.ORCID http://orcid.org/0000-0003-4651-7374
Paul A MidgleyDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.
Thomas D BennettDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3717-3119
Sean M CollinsDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK. S.M.Collins@leeds.ac.uk.ORCID http://orcid.org/0000-0002-5151-6360

Funding

China Scholarship Council (CSC) 202006630025Diamond Light Source EM20198-7RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/V044907/1Royal Society URF\R\211013
6 · The paper itself

Abstract

Intentionally disordered metal-organic frameworks (MOFs) display rich functional behaviour. However, the characterisation of their atomic structures remains incredibly challenging. X-ray pair distribution function techniques have been pivotal in determining their average local structure but are largely insensitive to spatial variations in the structure. Fe-BTC (BTC = 1,3,5-benzenetricarboxylate) is a nanocomposite MOF, known for its catalytic properties, comprising crystalline nanoparticles and an amorphous matrix. Here, we use scanning electron diffraction to first map the crystalline and amorphous components to evaluate domain size and then to carry out electron pair distribution function analysis to probe the spatially separated atomic structure of the amorphous matrix. Further Bragg scattering analysis reveals systematic orientational disorder within Fe-BTC's nanocrystallites, showing over 10° of continuous lattice rotation across single particles. Finally, we identify candidate unit cells for the crystalline component. These independent structural analyses quantify disorder in Fe-BTC at the critical length scale for engineering composite MOF materials.

Identifiers

PMID37169838
PMCPMC10175482

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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.