Evidence map›Paper›PMID 33562717›Full record

ReviewMicromachines2021

Textile-Based Triboelectric Nanogenerators for Wearable Self-Powered Microsystems.

Peng Huang, Dan-Liang Wen, Yu Qiu, Ming-Hong Yang, Cheng Tu, Hong-Sheng Zhong, Xiao-Sheng Zhang

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Review
  5. Advances in Printed Electronic Textiles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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.

Peng HuangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Dan-Liang WenSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yu QiuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Ming-Hong YangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Cheng TuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-4655-6202
Hong-Sheng ZhongSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Xiao-Sheng ZhangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-9719-0573

Funding

National Natural Science Foundation of China No. 61804023, No. 61971108, No. 62074029
6 · The paper itself

Abstract

In recent years, wearable electronic devices have made considerable progress thanks to the rapid development of the Internet of Things. However, even though some of them have preliminarily achieved miniaturization and wearability, the drawbacks of frequent charging and physical rigidity of conventional lithium batteries, which are currently the most commonly used power source of wearable electronic devices, have become technical bottlenecks that need to be broken through urgently. In order to address the above challenges, the technology based on triboelectric effect, i.e., triboelectric nanogenerator (TENG), is proposed to harvest energy from ambient environment and considered as one of the most promising methods to integrate with functional electronic devices to form wearable self-powered microsystems. Benefited from excellent flexibility, high output performance, no materials limitation, and a quantitative relationship between environmental stimulation inputs and corresponding electrical outputs, TENGs present great advantages in wearable energy harvesting, active sensing, and driving actuators. Furthermore, combined with the superiorities of TENGs and fabrics, textile-based TENGs (T-TENGs) possess remarkable breathability and better non-planar surface adaptability, which are more conducive to the integrated wearable electronic devices and attract considerable attention. Herein, for the purpose of advancing the development of wearable electronic devices, this article reviews the recent development in materials for the construction of T-TENGs and methods for the enhancement of electrical output performance. More importantly, this article mainly focuses on the recent representative work, in which T-TENGs-based active sensors, T-TENGs-based self-driven actuators, and T-TENGs-based self-powered microsystems are studied. In addition, this paper summarizes the critical challenges and future opportunities of T-TENG-based wearable integrated microsystems.

Indexed as

nanogeneratorself-powered microsystemstextiletriboelectric nanogenerators

Identifiers

PMID33562717
PMCPMC7915559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.