Evidence map›Paper›PMID 35957134›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Manufacturing Technics for Fabric/Fiber-Based Triboelectric Nanogenerators: From Yarns to Micro-Nanofibers.

Chonghui Fan, Yuxin Zhang, Shiqin Liao, Min Zhao, Pengfei Lv, Qufu Wei

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Chonghui FanKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Yuxin ZhangKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Shiqin LiaoJiangxi Centre for Modern Apparel Engineering and Technology, Jiangxi Institute of Fashion Technology, Nanchang 330201, China.
Min ZhaoKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Pengfei LvKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China.
Qufu WeiKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China.

Funding

National Natural Science Foundation of China 51803078Natural Science Foundation of Jiangsu Province BK20180628the Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX20_1778the Science & Technology Plan Program of Nantong JC2020084
6 · The paper itself

Abstract

Triboelectric nanogenerator (TENG), as a green energy harvesting technology, has aroused tremendous interest across many fields, such as wearable electronics, implanted electronic devices, and human-machine interfaces. Fabric and fiber-structured materials are excellent candidates for TENG materials due to their inherent flexibility, low cost, and high wearing comfort. Consequently, it is crucial to combine TENG with fabric/fiber materials to simultaneously leverage their mechanical energy harvesting and wearability advantages. In this review, the structure and fundamentals of TENG are briefly explained, followed by the introduction of three distinct methods for preparing fabric/fiber structures: spinning and weaving, wet spinning, and electrospinning. In the meantime, their applications have been discussed, focusing primarily on energy harvesting and wearable self-powered sensors. Finally, we discussed the future and challenges of fabric and fiber-based TENGs.

Indexed as

fabric/fiber structuretriboelectric nanogeneratorwearable self-powered sensors

Identifiers

PMID35957134
PMCPMC9370775

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.