Evidence map›Paper›PMID 35744559›Full record

ReviewMicromachines2022

Overview of the MEMS Pirani Sensors.

Shaohang Xu, Na Zhou, Meng Shi, Chenchen Zhang, Dapeng Chen, Haiyang Mao

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. 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. Charge Density-Based Pyroelectric Vacuum Sensor.Research (Washington, D.C.) · 2023
    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

6 authors.

Shaohang XuInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
Na ZhouInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
Meng ShiInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
Chenchen ZhangInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
Dapeng ChenInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
Haiyang MaoInstitute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.

Funding

Key-Area Research and Development Program of Guangdong Province 2019B010117001National Natural Science Foundation of China 61771467"Taihu Light" Scientific and Technological Breakthroughs (Industrial Foresight and Key Technology Research and Development) WX0301B013602210189PBYouth Innovation Promotion Association 2018153
6 · The paper itself

Abstract

Vacuum equipment has a wide range of applications, and vacuum monitoring in such equipment is necessary in order to meet practical applications. Pirani sensors work by using the effect of air density on the heat conduction of the gas to cause temperature changes in sensitive structures, thus detecting the pressure in the surrounding environment and thus vacuum monitoring. In past decades, MEMS Pirani sensors have received considerable attention and practical applications because of their advances in simple structures, long service life, wide measurement range and high sensitivity. This review systematically summarizes and compares different types of MEMS Pirani sensors. The configuration, material, mechanism, and performance of different types of MEMS Pirani sensors are discussed, including the ones based on thermistors, thermocouples, diodes and surface acoustic wave. Further, the development status of novel Pirani sensors based on functional materials such as nanoporous materials, carbon nanotubes and graphene are investigated, and the possible future development directions for MEMS Pirani sensors are discussed. This review is with the purpose to focus on a generalized knowledge of MEMS Pirani sensors, thus inspiring the investigations on their practical applications.

Indexed as

functional materialsMEMSPirani sensorsthermal conductivityvacuum

Identifiers

PMID35744559
PMCPMC9228132

What OpenQuestion holds

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LicenceCC BY
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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.