Evidence map›Paper›PMID 36985016›Full record

ArticleMicromachines2023

Multi-Channel MEMS-FAIMS Gas Sensor for VOCs Detection.

Zhujie Zhao, Cheng Lei, Ting Liang, Junna Zhang, Yuqiao Liu, Abdul Ghaffar, Jijun Xiong

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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.

Zhujie ZhaoState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-4667-5682
Cheng LeiState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Ting LiangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Junna ZhangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Yuqiao LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Abdul GhaffarState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China.
Jijun XiongState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.

Funding

Fund for Shanxi "1331 Project" Key Subject Construction 1331 ProjectInnovative Research Group Project of National Science Foundation of China 51821003the National Natural Science Foundation of China 51935011
6 · The paper itself

Abstract

Aimed at the problems of a large equipment size, long time and high price of environmental VOC gas detection, the FAIMS-VOC gas sensor was designed and prepared according to the principle that the ionization energy of the common VOC gas is less than 10.6 eV. The sensor is small in size, fast in detection, low in power consumption, and can work continuously. The sensor was fabricated through the MEMS process, a specific process which included photolithography, etching, anodic bonding, etc. The sensor is 5160 μm long, 5300 μm wide and 800 μm high. We built a test system to detect two typical VOC gases: isobutylene and acetone. The results show that in the detection of isobutylene gas and acetone gas, the sensor voltage value changes with the change of gas concentration. The linearity of testing isobutylene is 0.961, and the linearity of testing acetone is 0.987. When the isobutylene gas concentration is 50 ppm, the response time is 8 s and the recovery time is 6 s; when the acetone gas concentration is 50 ppm, the response time is 9 s and the recovery time is 10 s. In addition, the sensor demonstrates good repeatability and stability, which are conducive to the detection of VOCs in the environment.

Indexed as

anodic bondingFAIMSgas sensorMEMSVOC gas detection

Identifiers

PMID36985016
PMCPMC10053954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.