Evidence map›Paper›PMID 40178054›Full record

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

Reductive Supramolecular In Situ Construction of Nano-Platinum Effectively Couples Cathodic Hydrogen Evolution and Anodic Alcohol Oxidation.

Rui Bai, Qiao Ye, Cuiyu Li, Haijian Wang, Yan Zhao, Yicheng Zhang, Yingtang Zhou, Xue Zhao

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 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. Article
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

8 authors.

Rui BaiYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.
Qiao YeYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.
Cuiyu LiYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.
Haijian WangZhejiang Key Laboratory of Petrochemical Environmental Pollution Contro, National Engineering Research Center for Marine Aquaculture, Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, 316004, P.R. China.
Yan ZhaoYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.
Yicheng ZhangYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.
Yingtang ZhouZhejiang Key Laboratory of Petrochemical Environmental Pollution Contro, National Engineering Research Center for Marine Aquaculture, Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, 316004, P.R. China.
Xue ZhaoYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, 650500, P.R. China.

Funding

Building a Science and Technology Innovation Center Facing South Asia and Southeast Asia 202403AP140015Key Applied Basic Research Program of Yunnan Province 202201AS070023National Natural Science Foundation 21961046National Natural Science Foundation 22461048Scientific Research Fund Project of Yunnan Provincial Education Department 2024J0134Spring City Plan: High-level Talent Promotion and Training Project of Kunming 2022SCP005Xingdian talent support program of Yunnan ProvincetYunnan Fundamental Research Projects 202401CF070026Yunnan Fundamental Research Projects 202501AT070017Yunnan Normal University 01100205020503202Yunnan Normal University 1100205020503209Yunnan Normal University OF2022-01Yunnan Provincial Department of Education FWCY-ZNT2024010
6 · The paper itself

Abstract

The deployment of high-performance catalysts and the acceleration of anodic reaction kinetics are key measures to achieve maximum energy efficiency in overall water electrolysis hydrogen production systems. Here, an innovative strategy is developed by directly constructing a supramolecular framework embedded with boron clusters and cucurbituril as reducing agent. This approach enabled the in situ conversion of Pt⁴⁺ into highly dispersed, small-sized nano-platinum, which are subsequently distributed on a boron-carbon-nitrogen (BCN) matrix. The resulting Pt/BNHCSs catalyst demonstrates the ability to facilitate electrocatalytic water splitting for hydrogen production across multiple scenarios while simultaneously accelerating the anodic methanol oxidation kinetics, significantly outperforming commercial Pt/C catalyst in various aspects. The cathodic hydrogen evolution-anodic methanol oxidation coupling system constructed using the Pt/BNHCSs greatly reduces the overall energy consumption of the electrolysis system. In situ attenuated total reflection Fourier transform infrared and online differential electrochemical mass spectrometry reveals that the catalyst interface enhances H₂O adsorption and promotes the CH₃OH→CO conversion process, and density functional theory calculations indicated that the BCN support facilitated the evolution of H₂O to H₂ and CH₃OH to CO, elucidating the mechanism by which Pt/BNHCSs simultaneously promoted hydrogen production and methanol oxidation.

Indexed as

hydrogen evolutionin situ reductionmethanol oxidationnano‐Ptreductive supermolecular

Identifiers

PMID40178054
PMCPMC12245136

What OpenQuestion holds

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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.