Evidence map›Paper›PMID 41061072›Full record

ArticleScience advances2025

Plasma-enhanced electronic textiles for energy harvesting.

Shaomei Lin, Zhe Cui, Hao Li, Kun Wang, Kerui Li, Qinghong Zhang, Yaogang Li, Chengran Du, Chengyi Hou, Hongzhi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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

10 authors.

Shaomei LinState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0009-0001-8549-4278
Zhe CuiDepartment of Chemistry, University College London, London WC1E 7JE, UK.ORCID 0000-0002-2967-8566
Hao LiState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Kun WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Kerui LiState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0000-0003-0933-8932
Qinghong ZhangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0000-0002-4373-7665
Yaogang LiState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Chengran DuCollege of Physics, Donghua University, Shanghai 201620, China.ORCID 0000-0002-3010-3663
Chengyi HouState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0000-0003-4142-2982
Hongzhi WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.ORCID 0000-0002-5469-2327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrostatic energy harvesting and storage technologies for next-generation wearable devices are typically constrained by slow carrier dynamics and dielectric polarization delays. Here, we developed a plasma-enabled energy textile (PEET) by emulating the carrier transport mechanism in lightning return strokes. By engineering plasma-treated discharge microchannels, our design enables direct conduction current generation through cascading ionization, overcoming the efficiency limitations of conventional polarization-dependent systems. Under 2-hertz mechanical excitation, the PEET achieves a current density of 2.5 amperes per square centimeter, an average power output of 4.46 watts per square meter per hertz, and an energy conversion efficiency of 19%-two orders of magnitude higher than conventional electrostatic energy harvesting technologies, e.g., triboelectric, piezoelectric, and capacitive systems. This work represents a transformative advance in electrostatic energy harvesting, enabling efficient and scalable wearable energy solutions.

Identifiers

PMID41061072
PMCPMC12506979

What OpenQuestion holds

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LicenceCC BY-NC
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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.