Evidence map›Paper›PMID 31645571›Full record

ArticleNature communications2019

Deciphering nanoconfinement effects on molecular orientation and reaction intermediate by single molecule imaging.

Bin Dong, Yuchen Pei, Nourhan Mansour, Xuemei Lu, Kai Yang, Wenyu Huang, Ning Fang

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Nanoconfinement promotes CONature communications · 2025
    Article
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  7. Article
  8. Review
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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.

Bin DongDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Yuchen PeiDepartment of Chemistry, Iowa State University, and Ames Laboratory, U.S. Department of Energy, Ames, IA, 50011, USA.ORCID http://orcid.org/0000-0001-8517-6686
Nourhan MansourDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Xuemei LuCenter for Soft Condensed Matter Physics and Interdisciplinary Research & School of Physical Science and Technology, Soochow University, 215006, Suzhou, P. R. China.
Kai YangCenter for Soft Condensed Matter Physics and Interdisciplinary Research & School of Physical Science and Technology, Soochow University, 215006, Suzhou, P. R. China.
Wenyu HuangDepartment of Chemistry, Iowa State University, and Ames Laboratory, U.S. Department of Energy, Ames, IA, 50011, USA. whuang@iastate.edu.ORCID http://orcid.org/0000-0003-2327-7259
Ning FangDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA. nfang@gsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoconfinement could dramatically change molecular transport and reaction kinetics in heterogeneous catalysis. Here we specifically design a core-shell nanocatalyst with aligned linear nanopores for single-molecule studies of the nanoconfinement effects. The quantitative single-molecule measurements reveal unusual lower adsorption strength and higher catalytic activity on the confined metal reaction centres within the nanoporous structure. More surprisingly, the nanoconfinement effects on enhanced catalytic activity are larger for catalysts with longer and narrower nanopores. Experimental evidences, including molecular orientation, activation energy, and intermediate reactive species, have been gathered to provide a molecular level explanation on how the nanoconfinement effects enhance the catalyst activity, which is essential for the rational design of highly-efficient catalysts.

Identifiers

PMID31645571
PMCPMC6811571

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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.