Microstrip resonant sensor for differentiation of components in vapor mixtures

0538835 - ÚH 2022 RIV CH eng J - Journal Article
Slobodian, P. - Říha, Pavel - Olejník, R. - Matyáš, J. - Slobodian, R.
Microstrip resonant sensor for differentiation of components in vapor mixtures.
Sensors. Roč. 21, č. 1 (2021), č. článku 298. E-ISSN 1424-8220
Institutional support: RVO:67985874
Keywords : carbon nanotubes * sensing properties * composite
OECD category: Electrical and electronic engineering
Impact factor: 3.847, year: 2021
Method of publishing: Open access
https://www.mdpi.com/1424-8220/21/1/298

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 Thus, one multivariate MWCNT/copolymer microstrip resonant sensor superseded an array of selective sensors.
Permanent Link: http://hdl.handle.net/11104/0316546