Evidence map›Paper›PMID 37933377›Full record

ReviewExploration (Beijing, China)2023

Programmable kernel structures of atomically precise metal nanoclusters for tailoring catalytic properties.

Ya-Hui Li, Shu-Na Zhao, Shuang-Quan Zang

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Isomeric AgAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Self-Assembly Regulated Photocatalysis of Porphyrin-TiOMolecules (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Article
  9. Ultrasensitive and highly selective CoFrontiers in chemistry · 2024
    Article
  10. Review
  11. 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

3 authors.

Ya-Hui LiHenan Key Laboratory of Crystalline Molecular Functional Material, Henan International Joint Laboratory of Tumor Theranostical Cluster Materials, Green Catalysis Center and College of Chemistry Zhengzhou University Zhengzhou P. R. China.
Shu-Na ZhaoHenan Key Laboratory of Crystalline Molecular Functional Material, Henan International Joint Laboratory of Tumor Theranostical Cluster Materials, Green Catalysis Center and College of Chemistry Zhengzhou University Zhengzhou P. R. China.ORCID https://orcid.org/0000-0001-5354-3912
Shuang-Quan ZangHenan Key Laboratory of Crystalline Molecular Functional Material, Henan International Joint Laboratory of Tumor Theranostical Cluster Materials, Green Catalysis Center and College of Chemistry Zhengzhou University Zhengzhou P. R. China.ORCID https://orcid.org/0000-0002-6728-0559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unclear structures and polydispersity of metal nanoparticles (NPs) seriously hamper the identification of the active sites and the construction of structure-reactivity relationships. Fortunately, ligand-protected metal nanoclusters (NCs) with atomically precise structures and monodispersity have become an ideal candidate for understanding the well-defined correlations between structure and catalytic property at an atomic level. The programmable kernel structures of atomically precise metal NCs provide a fantastic chance to modulate their size, shape, atomic arrangement, and electron state by the precise modulating of the number, type, and location of metal atoms. Thus, the special focus of this review highlights the most recent process in tailoring the catalytic activity and selectivity over metal NCs by precisely controlling their kernel structures. This review is expected to shed light on the in-depth understanding of metal NCs' kernel structures and reactivity relationships.

Indexed as

atomically precise nanoclustercatalysiskernel structurestructure‐reactivity relationships

Identifiers

PMID37933377
PMCPMC10624382

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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.