Evidence map›Paper›PMID 38933565›Full record

ArticleFundamental research2023

Thin, soft, 3D printing enabled crosstalk minimized triboelectric nanogenerator arrays for tactile sensing.

Jian Li, Yiming Liu, Mengge Wu, Kuanming Yao, Zhan Gao, Yuyu Gao, Xingcan Huang, Tsz Hung Wong, Jingkun Zhou, Dengfeng Li and 6 more

Abstract read
In one paragraph

Article in Fundamental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Jian LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Yiming LiuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Mengge WuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Kuanming YaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Zhan GaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Yuyu GaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Tsz Hung WongDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Jingkun ZhouDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Dengfeng LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Hu LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Jiyu LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Ya HuangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Rui ShiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Junsheng YuState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China.
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the requirements of self-powering sensors in flexible electronics, wearable triboelectric nanogenerators (TENGs) have attracted great attention due to their advantages of excellent electrical outputs and low-cost processing routes. The crosstalk effect between adjacent sensing units in TENGs significantly limits the pixel density of sensor arrays. Here, we present a skin-integrated, flexible TENG sensor array with 100 sensing units in an overall size of 7.5 cm × 7.5 cm that can be processed in a simple, low-cost, and scalable way enabled by 3D printing. All the sensing units show good sensitivity of 0.11 V/kPa with a wide range of pressure detection from 10 to 65 kPa, which allows to accurately distinguish various tactile formats from gentle touching (as low as 2 kPa) to hard pressuring. The 3D printing patterned substrate allows to cast triboelectric layers of polydimethylsiloxane in an independent sensing manner for each unit, which greatly suppresses the cross talk arising from adjacent sensing units, where the maximum crosstalk output is only 10.8%. The excellent uniformity and reproducibility of the sensor array offer precise pressure mapping for complicated pattern loadings, which demonstrates its potential in tactile sensing and human-machine interfaces.

Indexed as

Crosstalk suppressionHuman-machine interfacesSelf-powering sensorsTactile sensorTriboelectricnanogenerators

Identifiers

PMID38933565
PMCPMC11197812

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Registered trials

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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.