Evidence map›Paper›PMID 36296004›Full record

ArticleMicromachines2022

Comparative Study of Gravimetric Humidity Sensor Platforms Based on CMUT and QCM.

Zhou Zheng, Guodong Zhang, Xiaomin Wang, Xu Kong

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zhou ZhengCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-6927-737X
Guodong ZhangCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
Xiaomin WangCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
Xu KongCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

Qingdao Postdoctoral Applied Research Program, China N/AShandong Provincial Natural Science Foundation, China ZR2020ZD26Shandong Provincial Natural Science Foundation, China ZR2021QF032
6 · The paper itself

Abstract

Humidity sensors with comprehensive performance are of great interest for industrial and environmental applications. Most sensors, however, have to compromise on at least one characteristic such as sensitivity, response speed, and linearity. This paper reports a gravimetric humidity sensor based on a capacitive micromachined ultrasonic transducer (CMUT) with exceptional all-around performance, and presents a side-by-side comparative investigation of two types of gravimetric humidity sensors for a better understanding of their characteristics and sensing mechanisms. For these purposes, a circular CMUT and a quartz crystal microbalance (QCM) with a resonance frequency of 10 MHz were designed and fabricated. Poly(vinyl alcohol) (PVA) was employed as the humidity sensing layer for its hydrophilicity and ease of film formation. The electrical properties of the sensors, including the electrical input impedances and quality factors, were characterized by a vector network analyzer. The relative humidity (RH) sensing performance of the sensors was evaluated and compared from RH levels of 11% to 97%. Both sensors exhibited good repeatability and low hysteresis. The unique microscale resonant structure of the CMUT humidity sensor contributed to a high sensitivity of 2.01 kHz/%RH, short response and recovery times of 8 s and 3 s, respectively, and excellent linearity (

Indexed as

CMUTgravimetric sensorhumidity sensingMEMS sensorQCM

Identifiers

PMID36296004
PMCPMC9608083

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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.