Evidence map›Paper›PMID 40898012›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Beyond Density: Unveiling the Trade-Off in Catalytic Site Optimization Using Defect-Engineered UiO-66.

Guo-Ying Han, Yi Ji, Xiang-Yu Li, Yu Gai, Guo-Zhen Hou, Qin-Yi Cheng, Zhong Zhang, Yiwei Liu, Jia Wang, Pascal Van Der Voort and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The critical role of isolated TiChemical science · 2026
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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

14 authors.

Guo-Ying HanSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Yi JiState Key Laboratory of Catalysis, Dalian National Laboratory for Clean Energy, 2011-Collaborative Innovation Center of Chemistry for Energy Materials, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Xiang-Yu LiState Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Yu GaiSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Guo-Zhen HouSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Qin-Yi ChengSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Zhong ZhangSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Yiwei LiuSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.
Jia WangState Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Pascal Van Der VoortCenter for Ordered Materials, Organometallics and Catalysis (COMOC), Department of Chemistry, Ghent University, Ghent, B-9000, Belgium.
Guangjin HouState Key Laboratory of Catalysis, Dalian National Laboratory for Clean Energy, 2011-Collaborative Innovation Center of Chemistry for Energy Materials, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Xin-Ping WuState Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Gaohong HeState Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China.
Xiao FengSchool of Chemistry, Dalian University of Technology, Dalian, 116024, China.ORCID https://orcid.org/0000-0002-3055-0172

Funding

Fundamental Research Funds for the Central Universities DUT24LK004National Natural Science Foundation of China 22003016National Natural Science Foundation of China 22101039National Natural Science Foundation of China 22311530679National Natural Science Foundation of China 22325405National Natural Science Foundation of China 22402187National Natural Science Foundation of China 22471027National Natural Science Foundation of China 22473042Open Research Fund of Guangdong Advanced Carbon Materials Co., Ltd Kargen-2024A0102Science Fund for Creative Research Groups of the National Natural Science Foundation of China 22021005State Key Laboratory of Catalysis 2024SKL-A-006State Key Laboratory of Catalysis N-23-01State Key Laboratory of Coal Conversion J24-25-611
6 · The paper itself

Abstract

Enhancing intrinsic activity and increasing catalytic site density are two widely employed strategies to improve catalytic performance. Although typically considered independently, their interplay remains poorly understood. Here, two UiO-66 metal-organic frameworks (MOFs) with distinct catalytic site densities-linker-defective UiO-66L and cluster-defective UiO-66C-are synthesized and systematically compared. Despite a higher density of open Zr catalytic sites, UiO-66L exhibited lower catalytic activity than UiO-66C across four model reactions, performing similarly to defect-free UiO-66. Although defect engineering is expected to enlarge pore connectivity, diffusion-ordered spectroscopy (DOSY) and molecular dynamics (MD) simulations surprisingly reveal that UiO-66C exhibits similar diffusion rates to defect-free UiO-66, while UiO-66L shows significantly slower diffusion. This discrepancy is attributed to self-adsorption of reactants at the high-density catalytic sites, which induces local diffusion resistance even in the presence of expanded channels. These findings reveal a performance trade-off between catalytic site density and intrinsic activity, establishing a critical threshold beyond which further increases in site density can hinder rather than enhance catalysis.

Indexed as

catalytic sites densitycluster defectsdefect typeslinker defectsMOFs

Identifiers

PMID40898012
PMCPMC12631877

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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.