Evidence map›Paper›PMID 40731710›Full record

ArticleMicromachines2025

Constant High-Voltage Triboelectric Nanogenerator with Stable AC for Sustainable Energy Harvesting.

Aso Ali Abdalmohammed Shateri, Salar K Fatah, Fengling Zhuo, Nazifi Sani Shuaibu, Chuanrui Chen, Rui Wan, Xiaozhi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
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

7 authors.

Aso Ali Abdalmohammed ShateriCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0001-6494-1449
Salar K FatahDepartment of Physics, College of Education, University of Garmian, Kalar 46021, Iraq.ORCID 0000-0003-3990-2581
Fengling ZhuoCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
Nazifi Sani ShuaibuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0008-8853-554X
Chuanrui ChenCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0003-5216-5296
Rui WanCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
Xiaozhi WangCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.

Funding

Key Research and Development Project of Zhejiang 2024C03114National Key R&D program of China 2024YFF0727200The National Natural Science Foundation of China 62174147
6 · The paper itself

Abstract

Triboelectric nanogenerators (TENGs) hold significant potential for decentralized energy harvesting; however, their dependence on rotational mechanical energy often limits their ability to harness ubiquitous horizontal motion in real-world applications. Here, a single horizontal linear-to-rotational triboelectric nanogenerator (SHLR-TENG) is presented, designed to efficiently convert linear motion into rotational energy using a robust gear system, enabling a high voltage and reliable full cycle of alternating current (AC). The device features a radially patterned disk with triboelectric layers composed of polyimide. The SHLR-TENG achieves a peak-to-peak voltage of 1420 V, a short-circuit current of 117 µA, and an average power output of 41.5 mW, with a surface charge density of 110 µC/m

Indexed as

alternating current (AC)constant-voltage outputenergy conversionhorizontal motion harvestingtriboelectric nanogenerator (TENG)

Identifiers

PMID40731710
PMCPMC12299868

What OpenQuestion holds

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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.