Microstrip Resonant Sensor for Differentiation of Components in Vapor Mixtures.
carbon nanotubes
microstrip resonant sensor
organic vapors
polymer composites
vapor mixtures
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
05 Jan 2021
05 Jan 2021
Historique:
received:
29
10
2020
revised:
15
12
2020
accepted:
21
12
2020
entrez:
20
1
2021
pubmed:
21
1
2021
medline:
21
1
2021
Statut:
epublish
Résumé
A novel microstrip resonant vapor sensor made from a conductive multiwalled carbon nanotubes/ethylene-octene copolymer composite, of which its sensing properties were distinctively altered by vapor polarity, was developed for the detection of organic vapors. The alteration resulted from the modified composite electronic impedance due to the penetration of the vapors into the copolymer matrix, which subsequently swelled, increased the distances between the carbon nanotubes, and disrupted the conducting paths. This in turn modified the reflection coefficient frequency spectra. Since both the spectra and magnitudes of the reflection coefficients at the resonant frequencies of tested vapors were distinct, a combination of these parameters was used to identify the occurrence of a particular vapor or to differentiate components of vapor mixtures. Thus, one multivariate MWCNT/copolymer microstrip resonant sensor superseded an array of selective sensors.
Identifiants
pubmed: 33466264
pii: s21010298
doi: 10.3390/s21010298
pmc: PMC7795650
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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