Evidence map›Paper›PMID 33375651›Full record

ReviewMicromachines2020

Capacitive Based Micromachined Resonators for Low Level Mass Detection.

Muhammad Umair Nathani, Haleh Nazemi, Calvin Love, Yameema Babu Lopez, Siddharth Swaminathan, Arezoo Emadi

Abstract readReview
In one paragraph

Review in Micromachines, 2020. 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.

Muhammad Umair NathaniDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0003-3375-9016
Haleh NazemiDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Calvin LoveDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0002-6373-0188
Yameema Babu LopezDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Siddharth SwaminathanDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Arezoo EmadiDepartment of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0003-2034-1120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in microfabrication technologies and novel materials have led to new innovations in miniaturized gas sensors that can identify miniscule changes in a complex environment. Micromachined resonators with the capability to offer high sensitivity and selectivity in array integration make mass loading a potential mechanism for electronic nose applications. This paper investigates the mass sensing characteristics of progressive capacitive based micromachined resonators as potential candidates for volatile organic compound detection where also there is a need for miniaturized array configuration. In this paper, a detailed investigative review of the major three geometric designs of capacitive based micromachined resonators, namely, the microcantilever, the microbridge and the clamped membrane sensors is performed. Although many reviews are present in literature regarding mass sensors, however there is a gap in the literature regarding the common capacitive based micromachined mass sensors. This research gives a review on the foundation for capacitive based micromachined mass sensors while highlighting the potential capabilities of each geometric design to be developed further. Moreover, this paper also introduces the advancements based on the geometric designs of the capacitive based micromachined mass sensors. An in-depth analysis is done for each geometric design, to identify the critical design parameters, which affect the sensors' performances. Furthermore, the theoretically achievable mass sensitivity for each capacitive based micromachined mass sensor is modeled and analyzed using finite element analysis with mass variation in the picogram range. Finally, a critical analysis is done on the sensor sensitivities and further discussed in detail wherein each design is compared to each other and its current advances. Additionally, an insight to the advantages and disadvantages associated with each simulated geometry and its different advances are given. The results of the investigative review and analysis indicate that the sensitivities of the capacitive based micromachined sensors are dependent not only on the material composition of the devices but also on the varying degrees of clamping between the sensor geometries. In essence, the paper provides future research the groundwork to choose proper candidate geometry for a capacitive based micromachined mass sensor, with its several advantages over other mass sensors, based on the needed application.

Indexed as

capacitiveclamped membranegas detectiongas sensorgravimetricmicrobridgemicrocantilevermicroelectromechanical systemsmicromachined resonatorsensitivity

Identifiers

PMID33375651
PMCPMC7823894

What OpenQuestion holds

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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.