Evidence map›Paper›PMID 35630148›Full record

ArticleMicromachines2022

Preparation of a Vertical Graphene-Based Pressure Sensor Using PECVD at a Low Temperature.

Xin Cao, Kunpeng Zhang, Guang Feng, Quan Wang, Peihong Fu, Fengping Li

Abstract read
In one paragraph

Article in Micromachines, 2022. 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. Article
  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

6 authors.

Xin CaoCollege of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
Kunpeng ZhangZhejiang Provincial Engineering Center of Laser and Optoelectronic Intelligent Manufacturing, Wenzhou University, Wenzhou 325035, China.
Guang FengZhejiang Provincial Engineering Center of Laser and Optoelectronic Intelligent Manufacturing, Wenzhou University, Wenzhou 325035, China.
Quan WangCollege of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China.
Peihong FuCollege of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
Fengping LiCollege of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.ORCID 0000-0002-8535-112X

Funding

2020 Science and Technology Boosting Economy Project of National Key Research and Development Program of China SQ2020YFF0401270Wenzhou Municipal Key Science and Research Program ZG2020040
6 · The paper itself

Abstract

Flexible pressure sensors have received much attention due to their widespread potential applications in electronic skins, health monitoring, and human-machine interfaces. Graphene and its derivatives hold great promise for two-dimensional sensing materials, owing to their superior properties, such as atomically thin, transparent, and flexible structure. The high performance of most graphene-based pressure piezoresistive sensors relies excessively on the preparation of complex, post-growth transfer processes. However, the majority of dielectric substrates cannot hold in high temperatures, which can induce contamination and structural defects. Herein, a credibility strategy is reported for directly growing high-quality vertical graphene (VG) on a flexible and stretchable mica paper dielectric substrate with individual interdigital electrodes in plasma-enhanced chemical vapor deposition (PECVD), which assists in inducing electric field, resulting in a flexible, touchable pressure sensor with low power consumption and portability. Benefitting from its vertically directed graphene microstructure, the graphene-based sensor shows superior properties of high sensitivity (4.84 KPa

Indexed as

flexiblepressuresensorvertical graphene (VG)

Identifiers

PMID35630148
PMCPMC9146447

What OpenQuestion holds

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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.