Evidence map›Paper›PMID 29382155›Full record

ArticleSensors (Basel, Switzerland)2018

The Effect of Zeolite Composition and Grain Size on Gas Sensing Properties of SnO₂/Zeolite Sensor.

Yanhui Sun, Jing Wang, Xiaogan Li, Haiying Du, Qingpan Huang, Xiaofeng Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Heteronanostructural metal oxide-based gas microsensors.Microsystems & nanoengineering · 2022
    Review
  4. Article
  5. Enhancing Formaldehyde Selectivity of SnOSensors (Basel, Switzerland) · 2021
    Article
  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

6 authors.

Yanhui SunFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. syh@dlnu.edu.cn.ORCID 0000-0001-5654-403X
Jing WangFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. wangjing@dlut.edu.cn.
Xiaogan LiFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. lixg@dlut.edu.cn.
Haiying DuFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. duhaiying@dlnu.edu.cn.
Qingpan HuangFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. huangqingpan@mail.dlut.edu.cn.
Xiaofeng WangSchool of Mathematical and Physical Sciences, Dalian University of Technology, Panjin Campus, Panjin 124000, China. wangxf@dlut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to improve the sensing properties of tin dioxide gas sensor, four kinds of different SiO₂/Al₂O₃ ratio, different particle size of MFI type zeolites (ZSM-5) were coated on the SnO₂ to prepared zeolite modified gas sensors, and the gas sensing properties were tested. The measurement results showed that the response values of ZSM-5 zeolite (SiO₂/Al₂O₃ = 70, grain size 300 nm) coated SnO₂ gas sensors to formaldehyde vapor were increased, and the response to acetone decreased compared with that of SnO₂ gas sensor, indicating an improved selectivity property. The other three ZSM-5 zeolites with SiO₂/Al₂O₃ 70, 150 and 470, respectively, and grain sizes all around 1 μm coated SnO₂ sensors did not show much difference with SnO₂ sensor for the response properties to both formaldehyde and acetone. The sensing mechanism of ZSM-5 modified sensors was briefly analyzed.

Indexed as

catalytic propertycoatinggas sensorselectivitytin dioxidezeolite

Identifiers

PMID29382155
PMCPMC5856077

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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.