Evidence map›Paper›PMID 31652696›Full record

ArticleMicromachines2019

Printed and Flexible Capacitive Pressure Sensor with Carbon Nanotubes based Composite Dielectric Layer.

Zhenxin Guo, Lixin Mo, Yu Ding, Qingqing Zhang, Xiangyou Meng, Zhengtan Wu, Yinjie Chen, Meijuan Cao, Wei Wang, Luhai Li

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
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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

10 authors.

Zhenxin GuoBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. beiyinguozhenxin@163.com.
Lixin MoBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. molixin@bigc.edu.cn.ORCID 0000-0002-6374-239X
Yu DingBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. 15366978028@163.com.
Qingqing ZhangBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. zqq15201169516@163.com.
Xiangyou MengBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. 17862328880@163.com.
Zhengtan WuBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. wuzhengtanby@outlook.com.
Yinjie ChenBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. chenyinjie@bigc.edu.cn.
Meijuan CaoBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. caomeijuan@bigc.edu.cn.
Wei WangBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. wangwei@bigc.edu.cn.
Luhai LiBeijing Engineering Research Center of Printed Electronics, Beijing Institute of Graphic Communication, Beijing 102600, China. liluhai@bigc.edu.cn.

Funding

2017 Beijing Municipal Commission of Education Outstanding young scholars CIT&TCD2017040512018 Beijing Municipal Commission of Education project KM2018100150042018 Beijing university talents cross training plan (Shipei plan) 03150119003/007Beijing Municipal Commission of Education 2011 Collaborative Innovation Centre 04190118003/002
6 · The paper itself

Abstract

Flexible pressure sensors have attracted tremendous attention from researchers for their widely applications in tactile artificial intelligence, electric skin, disease diagnosis, and healthcare monitoring. Obtaining flexible pressure sensors with high sensitivity in a low cost and convenient way remains a huge challenge. In this paper, the composite dielectric layer based on the mixture of carbon nanotubes (CNTs) with different aspect ratios and polydimethylsiloxane (PDMS) was employed in flexible capacitive pressure sensor to increase its sensitivity. In addition, the screen printing instead of traditional etching based methods was used to prepare the electrodes array of the sensor. The results showed that the aspect ratio and weight fraction of the CNTs play an important role in improving the sensitivity of the printed capacitive pressure sensor. The prepared capacitive sensor with the CNTs/PDMS composite dielectric layer demonstrated a maximum sensitivity of 2.9 kPa

Indexed as

capacitive pressure sensorcarbon nanotubescomposite dielectricpercolation theoryprinted and flexible sensor

Identifiers

PMID31652696
PMCPMC6915459

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.