Evidence map›Paper›PMID 29695805›Full record

ArticleNature communications2018

Chemical diversity in a metal-organic framework revealed by fluorescence lifetime imaging.

Waldemar Schrimpf, Juncong Jiang, Zhe Ji, Patrick Hirschle, Don C Lamb, Omar M Yaghi, Stefan Wuttke

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  14. Solvent-Driven Self-Organization ofLangmuir : the ACS journal of surfaces and colloids · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. ACS applied materials & interfaces · 2021
    Article
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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.

Waldemar SchrimpfDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstrasse 11, Munich, 81377, Germany.
Juncong JiangDepartment of Chemistry, University of California-Berkeley, Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Zhe JiDepartment of Chemistry, University of California-Berkeley, Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Patrick HirschleDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstrasse 11, Munich, 81377, Germany.
Don C LambDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstrasse 11, Munich, 81377, Germany.ORCID http://orcid.org/0000-0002-0232-1903
Omar M YaghiDepartment of Chemistry, University of California-Berkeley, Berkeley National Laboratory, Berkeley, CA, 94720, USA. yaghi@berkeley.edu.ORCID http://orcid.org/0000-0002-5611-3325
Stefan WuttkeDepartment of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstrasse 11, Munich, 81377, Germany. stefan.wuttke@cup.lmu.de.ORCID http://orcid.org/0000-0002-6344-5782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence and variation of chemical functionality and defects in crystalline materials, such as metal-organic frameworks (MOFs), have tremendous impact on their properties. Finding a means of identifying and characterizing this chemical diversity is an important ongoing challenge. This task is complicated by the characteristic problem of bulk measurements only giving a statistical average over an entire sample, leaving uncharacterized any diversity that might exist between crystallites or even within individual crystals. Here, we show that by using fluorescence imaging and lifetime analysis, both the spatial arrangement of functionalities and the level of defects within a multivariable MOF crystal can be determined for the bulk as well as for the individual constituent crystals. We apply these methods to UiO-67 to study the incorporation of functional groups and their consequences on the structural features. We believe that the potential of the techniques presented here in uncovering chemical diversity in what is generally assumed to be homogeneous systems can provide a new level of understanding of materials properties.

Identifiers

PMID29695805
PMCPMC5916894

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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.