Evidence map›Paper›PMID 42754582›Full record

ArticleNature communications2026

Creating locally enriched single-atom catalysts via bio-inspired internalization process for interference-resistant NO

Xin Jia, Runfang Mao, Shan Hu, Muyu Yan, Haotian Huang, Zhiheng Ma, Xuesong Zhang, Musen Li, Yongjie Shen, Wenqiang Qu and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Xin Jia *Department of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Runfang Mao *Department of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Shan Hu *College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, China.ORCID http://orcid.org/0009-0007-5355-8904
Muyu YanState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Haotian HuangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Zhiheng MaDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Xuesong ZhangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Musen LiDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.ORCID http://orcid.org/0000-0001-9844-8994
Yongjie ShenInstitute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Japan.
Wenqiang QuDepartment of Chemistry, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3861-6612
Zhanchen WangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Yi JiangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.
Shuai GuoShanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University National-level Experimental Teaching Demonstration Center for Engineering Training, Shanghai University, Shanghai, China.
Pengcheng XuState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-8651-208X
Zhenggang XueDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China. zgxue@shu.edu.cn.ORCID http://orcid.org/0000-0001-7452-864X
Dengsong ZhangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.ORCID http://orcid.org/0000-0003-4280-0068
Jiaqiang XuDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, China.ORCID http://orcid.org/0000-0003-4214-8532

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62401349
6 · The paper itself

Abstract

Intelligent gas-sensing technology that accurately and stably identifies gas categories in complex atmospheres is critical for protecting public safety and environment. However, competing interactions among different gases on sensing surfaces can trigger interference even poison of sensors. Here, we present a bio-inspired atomic internalization process that produces locally enriched single Pt species, enabling highly selective and interference-resistant gas detection. By engineering Sn/C precursors as homologous receptors, Pt

Identifiers

PMID42754582
PMCPMC13586179

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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.