Evidence map›Paper›PMID 30200649›Full record

ArticleSensors (Basel, Switzerland)2018

A Novel Surface Acoustic Wave Sensor Array Based on Wireless Communication Network.

Yong Pan, Ning Mu, Bo Liu, Bingqing Cao, Wen Wang, Liu Yang

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Dynamic Mitigation Mechanisms of Rime Icing with Propagating Surface Acoustic Waves.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  5. Review
  6. Article
  7. Review
  8. 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.

Yong PanState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. panyong71@sina.com.cn.ORCID 0000-0002-0494-6915
Ning MuState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. sdmuta@163.com.
Bo LiuState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. s13810206336@163.com.
Bingqing CaoState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. 13126584199@163.com.
Wen WangState Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China. wangwenwq@mail.ioa.ac.cn.
Liu YangState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China. Yangliujinjin@tom.com.

Funding

National Natural Science Foundation of China 10834010 and 11074268
6 · The paper itself

Abstract

A novel surface acoustic wave (SAW) sensor array based on wireless communication network is prepared. The array is composed of four SAW sensors, a wireless communication network module, and a global positioning system (GPS) module. The four SAW sensors of the array are coated with triethanolamine, polyepichlorohydrin, fluoroalcoholpolysiloxane, and L-glutamic acid hydrochloride to detect hydrogen sulfide (H₂S), 2-chloroethyl ethyl sulfide (CEES), dimethylmethylphosphonate (DMMP), and ammonia (NH₃) at film thicknesses of 50⁻100 nm. The wireless communication network module consists of an acquisition unit, a wireless control unit, and a microcontroller unit. By means of Zigbee and Lora technologies, the module receives and transmits the collected data to a PC work station in real-time; moreover, the module can control the sensor array's working mode and monitor the working status. Simultaneously, the testing location is determined by the GPS module integrated into the SAW sensor array. H₂S, CEES, DMMP, and NH₃ are detected in 300 m at different concentrations. Given the practical future application in environment in the future, the low, safe concentrations of 1.08, 0.59, 0.10, and 5.02 ppm for H₂S, CEES, DMMP, and NH₃, respectively, are detected at the lowest concentration, and the sensitivities of different sensors of the sensor array are 32.4, 14.9, 78.1 and 22.6 Hz/ppm, respectively. With the obtained fingerprints and pattern recognition technology, the detected gases can be recognized.

Indexed as

detectiongasesnetworkSAW sensor arraywireless communication

Identifiers

PMID30200649
PMCPMC6164968

What OpenQuestion holds

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LicenceCC BY
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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.