Evidence map›Paper›PMID 41521172›Full record

ArticleLight, science & applications2026

Self-powered mechanoluminescent elastomer for solar-blind ultraviolet emission.

Xulong Lv, Tianyi Duan, Shaofan Fang, Zhaofeng Wang, Dongxun Chen, Lipeng Huang, Huanyu Liu, Zheming Liu, Chao Liu, Xiao-Jun Wang and 1 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Light, science & applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Xulong LvSchool of Materials Science & Engineering, Shandong University, Jinan, 250061, China.
Tianyi DuanSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Shaofan FangShandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai, 264006, China.
Zhaofeng WangShandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai, 264006, China. zhfwang@licp.cas.cn.
Dongxun ChenSchool of Materials Science & Engineering, Shandong University, Jinan, 250061, China.
Lipeng HuangSchool of Materials Science & Engineering, Shandong University, Jinan, 250061, China.
Huanyu LiuDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Zheming LiuDepartment of Oral and Maxillofacial Surgery, Qilu Hospital of Shandong University, Jinan, 250012, China.
Chao LiuDepartment of Oral and Maxillofacial Surgery, Qilu Hospital of Shandong University, Jinan, 250012, China.
Xiao-Jun WangDepartment of Physics, Georgia Southern University, Statesboro, GA, 30460, USA. xwang@georgiasouthern.edu.ORCID http://orcid.org/0000-0003-1506-0762
Yanjie LiangSchool of Materials Science & Engineering, Shandong University, Jinan, 250061, China. yanjie.liang@sdu.edu.cn.ORCID http://orcid.org/0000-0002-7835-1543

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12474407
6 · The paper itself

Abstract

Flexible mechanoluminescence (ML) elastomers show significant potential for next-generation wearable electronics, artificial skin, advanced sensing, and human-machine interaction. However, their broader application has been hindered by challenges such as restricted emission wavelengths, inadequate repeatability, insufficient cyclic stability, and poor self-recovery. Here, we report an innovative and high-performance solar-blind ultraviolet ML elastomer by combining commercial polydimethylsiloxane (PDMS) and newly fabricated Sr

Identifiers

PMID41521172
PMCPMC12791142

What OpenQuestion holds

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LicenceCC BY
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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.