Evidence map›Paper›PMID 40461480›Full record

ArticleNature communications2025

Self-powered sensing platform based on triboelectric nanogenerators towards intelligent mining industry.

Lindong Liu, Yurui Shang, Andy Berbille, Morten Willatzen, Yuan Wang, Xunjia Li, Longyi Li, Xiongxin Luo, Jianwu Chen, Bin Yang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Self-Powered Sensors for Environmental Monitoring.Nanomaterials (Basel, Switzerland) · 2026
    Review
  8. 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

13 authors.

Lindong Liu *School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China.
Yurui Shang *Beijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.
Andy Berbille *Beijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.ORCID http://orcid.org/0000-0001-8640-2024
Morten WillatzenBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.
Yuan WangSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China. yuanwang@ustb.edu.cn.ORCID http://orcid.org/0000-0002-5932-403X
Xunjia LiBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.
Longyi LiBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.ORCID http://orcid.org/0009-0002-0578-8004
Xiongxin LuoBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China.
Jianwu ChenSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China.
Bin YangSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China.
Cuifeng DuSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China. ducuifeng@ces.ustb.edu.cn.ORCID http://orcid.org/0009-0001-7584-5898
Zhong Lin WangBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China. zhong.wang@mse.gatech.edu.ORCID http://orcid.org/0000-0002-5530-0380
Laipan ZhuBeijing Key Laboratory of Micro-nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, P.R. China. zhulaipan@binn.cas.cn.ORCID http://orcid.org/0000-0001-7538-641X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52192610 and 52192613National Natural Science Foundation of China (National Science Foundation of China) 5240040361Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L247036
6 · The paper itself

Abstract

Gold's crucial role in economic and technological developments has driven the industry towards underground mining, with air quality concerns challenging workers' safety. Currently, commercial solutions to assess air quality and safety in underground mines often suffer from low accuracy, high installation and maintenance costs, without providing data on noxious gases. To address these limitations, we developed a triboelectric self-powered sensing-platform (TESS) employing two distinct triboelectric nanogenerators (TENGs) modules to achieve power generation and wind-speed sensing function, with an ultra-low starting wind speed (0.32 m s

Identifiers

PMID40461480
PMCPMC12134231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.