Evidence map›Paper›PMID 40166119›Full record

ArticleFundamental research2025

Loosening metal nodes in metal-organic frameworks to facilitate the regulation of valence.

Yu-Xia Li, Jia-Xin Shen, Ze-Jiu Diao, Shi-Chao Qi, Xiao-Qin Liu, Lin-Bing Sun

Abstract read
In one paragraph

Article in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yu-Xia LiState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.
Jia-Xin ShenState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.
Ze-Jiu DiaoState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.
Shi-Chao QiState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.
Xiao-Qin LiuState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.
Lin-Bing SunState Key Laboratory of Materials-Oriented Chemical Engineering, Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), College of Chemical Engineering, Nanjing Tech University, Nanjing 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The valence of metal nodes in metal-organic frameworks (MOFs) determines their performance in applications while developing an efficient approach for valence regulation is challenging. Here we present a strategy to make the valence regulation much easier by loosening metal nodes by thermal pretreatment. The typical MOF, HKUST-1, with the tunable valence of Cu nodes, was used as a proof of concept. Thermal pretreatment (producing HK-T) changes the chemical environment and loosens Cu nodes, endowing them with enhanced reducibility. In the subsequent vapor-induced reduction, the yield of Cu

Indexed as

AdsorptionCopperDesulfurizationMetal-organic frameworksValence regulation

Identifiers

PMID40166119
PMCPMC11955052

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.