Evidence map›Paper›PMID 40156294›Full record

ArticleChemistryOpen2025

Multi-Mode Triboelectric Nanogenerator for Football Impact Monitoring and Mechanical Energy Harvesting.

Xi Chen, Xiaolong Yu

Abstract read
In one paragraph

Article in ChemistryOpen, 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

2 authors.

Xi ChenXuchang Vocational Technical College, Xuchang, 46 1000, China.
Xiaolong YuPhysical Education School, Shenzhen University, Shenzhen, 518060, China.ORCID https://orcid.org/0009-0002-2078-9929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of digital products and sensors significantly enhances motion monitoring accuracy, addressing the limitations of hawk-eye technology. Triboelectric nanogenerators (TENGs) provide innovative, low-cost solutions for developing intelligent digital motion monitoring systems. In this study, we designed a multi-mode triboelectric nanogenerator (M-TENG) that incorporates multiple working modes, enabling switching between internal electrodes to adjust the output mode. This dual working mode enhances the adaptability of the device for football monitoring applications. The versatile design allows the M-TENG to perform both energy harvesting and trigger-based sensing and monitoring, contributing to the advancement of digital intelligence movement technologies. After optimization, the M-TENG achieved a transferred charge (Qsc) of 88.38 nC, short-circuit current (Isc) of 8.58 μA, and open-circuit voltage (Voc) of 85.91 V, showcasing excellent electrical performance. The device charged a 1 μF capacitor to 5 V in 36 seconds, delivering a peak power of 178 μW, and maintained stable output with only a 14 % decrease over 60 days. Additionally, the M-TENG effectively detects and harvests energy from football impacts, generating consistent voltage signals from each interaction, making it a promising candidate for real-time sports equipment monitoring without the need for an external power source.

Indexed as

Digital intelligence movementDual-working modeFootball monitoringTriboelectric nanogenerators (TENGs)

Identifiers

PMID40156294
PMCPMC12256930

What OpenQuestion holds

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LicenceCC BY
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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.