Evidence map›Paper›PMID 32825062›Full record

ArticleMicromachines2020

Improved High-Yield PMMA/Graphene Pressure Sensor and Sealed Gas Effect Analysis.

Ying Liu, Yong Zhang, Xin Lin, Ke-Hong Lv, Peng Yang, Jing Qiu, Guan-Jun Liu

Abstract read
In one paragraph

Article in Micromachines, 2020. 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. 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

7 authors.

Ying LiuCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.ORCID 0000-0002-1331-1284
Yong ZhangCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Xin LinCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Ke-Hong LvCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Peng YangCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Jing QiuCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
Guan-Jun LiuCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.

Funding

National Natural Science Foundation of China 51675528
6 · The paper itself

Abstract

Graphene with atomic thickness possesses excellent mechanical and electrical properties, which hold great potential for high performance pressure sensing. The exposed electron of graphene is always cross-sensitive to any pollution absorbed or desorbed on the surface, from which the long-term stability of the graphene pressure sensor suffers a lot. This is one of the main obstacles towards graphene commercial applications. In this paper, we utilized polymethylmethacrylate (PMMA)/graphene heterostructure to isolate graphene from the ambient environment and enhance its strength simultaneously. PMMA/graphene pressure sensors, with the finite-depth cavity and the through-hole cavity separately, were made for comparative study. The through-hole device obtained a comparable sensitivity per unit area to the state of the art of the bare graphene pressure sensor, since there were no leaking cracks or defects. Both the sensitivity and stability of the through-hole sensor are better than those of the sensor with 285-nm-deep cavities, which is due to the sealed gas effect in the pressure cavity. A modified piezoresistive model was derived by considering the pressure change of the sealed gas in the pressure cavity. The calculated result of the new model is consistent with the experimental results. Our findings point out a promising route for performance optimization of graphene pressure sensors.

Indexed as

graphenePMMApressure sensorsealed gas

Identifiers

PMID32825062
PMCPMC7570378

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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.