Evidence map›Paper›PMID 35208365›Full record

ReviewMicromachines2022

Research Progress of Graphene Nano-Electromechanical Resonant Sensors-A Review.

Shang-Chun Fan, Yang Lu, Peng-Cheng Zhao, Fu-Tao Shi, Zhan-She Guo, Wei-Wei Xing

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shang-Chun FanSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.
Yang LuSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.
Peng-Cheng ZhaoSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0002-4433-119X
Fu-Tao ShiSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.
Zhan-She GuoSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.
Wei-Wei XingSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.

Funding

the National Natural Science Foundation of China 61773045
6 · The paper itself

Abstract

Graphene nano-electromechanical resonant sensors have wide application in areas such as seawater desalination, new energy, biotechnology, and aerospace due to their small size, light weight, and high sensitivity and resolution. This review first introduces the physical and chemical properties of graphene and the research progress of four preparation processes of graphene. Next, the principle prototype of graphene resonators is analyzed, and three main methods for analyzing the vibration characteristics of a graphene resonant sheet are described: molecular structural mechanics, non-local elastic theory and molecular dynamics. Then, this paper reviews research on graphene resonator preparation, discussing the working mechanism and research status of the development of graphene resonant mass sensors, pressure sensors and inertial sensors. Finally, the difficulties in developing graphene nano-electromechanical resonant sensors are outlined and the future trend of these sensors is described.

Indexed as

molecular dynamicsmolecular structural mechanicsnon-local elastic theoryresonatorssingle-layer graphene sheet (SLGS)

Identifiers

PMID35208365
PMCPMC8876833

What OpenQuestion holds

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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.