Literature DB >> 33466264

Microstrip Resonant Sensor for Differentiation of Components in Vapor Mixtures.

Petr Slobodian1,2, Pavel Riha3, Robert Olejnik1, Jiri Matyas1, Rostislav Slobodian1.   

Abstract

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 Thus, one multivariate MWCNT/copolymer microstrip resonant sensor superseded an array of selective sensors.

Entities:  

Keywords:  carbon nanotubes; microstrip resonant sensor; organic vapors; polymer composites; vapor mixtures

Year:  2021        PMID: 33466264      PMCID: PMC7795650          DOI: 10.3390/s21010298

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  13 in total

1.  On the sensing mechanism in carbon nanotube chemiresistors.

Authors:  Amin Salehi-Khojin; Fatemeh Khalili-Araghi; Marcelo A Kuroda; Kevin Y Lin; Jean-Pierre Leburton; Richard I Masel
Journal:  ACS Nano       Date:  2010-12-27       Impact factor: 15.881

2.  Stretchable and sensitive sensor based on carbon nanotubes/polymer composite with serpentine shapes via molding technique.

Authors:  Xiang Fu; Ahmed M Al-Jumaily; Maximiano Ramos; Ata Meshkinzar; Xiyong Huang
Journal:  J Biomater Sci Polym Ed       Date:  2019-06-13       Impact factor: 3.517

3.  Carbon Nanotube Chemical Sensors.

Authors:  Vera Schroeder; Suchol Savagatrup; Maggie He; Sibo Lin; Timothy M Swager
Journal:  Chem Rev       Date:  2018-09-18       Impact factor: 60.622

4.  Large-Area High-Performance Flexible Pressure Sensor with Carbon Nanotube Active Matrix for Electronic Skin.

Authors:  Luca Nela; Jianshi Tang; Qing Cao; George Tulevski; Shu-Jen Han
Journal:  Nano Lett       Date:  2018-02-20       Impact factor: 11.189

5.  Theoretical and experimental investigation of morphology and temperature effects on adsorption of organic vapors in single-walled carbon nanotubes.

Authors:  Sandeep Agnihotri; José P B Mota; Massoud Rostam-Abadi; Mark J Rood
Journal:  J Phys Chem B       Date:  2006-04-20       Impact factor: 2.991

6.  Thermoelectric fabrics: toward power generating clothing.

Authors:  Yong Du; Kefeng Cai; Song Chen; Hongxia Wang; Shirley Z Shen; Richard Donelson; Tong Lin
Journal:  Sci Rep       Date:  2015-03-23       Impact factor: 4.379

Review 7.  Recent Advances in Organic Thermoelectric Materials: Principle Mechanisms and Emerging Carbon-Based Green Energy Materials.

Authors:  Yinhang Zhang; Young-Jung Heo; Mira Park; Soo-Jin Park
Journal:  Polymers (Basel)       Date:  2019-01-18       Impact factor: 4.329

8.  Ethylene-Octene-Copolymer with Embedded Carbon and Organic Conductive Nanostructures for Thermoelectric Applications.

Authors:  Petr Slobodian; Pavel Riha; Robert Olejnik; Michal Sedlacik
Journal:  Polymers (Basel)       Date:  2020-06-09       Impact factor: 4.329

9.  A gas sensor array for the simultaneous detection of multiple VOCs.

Authors:  Yumin Zhang; Jianhong Zhao; Tengfei Du; Zhongqi Zhu; Jin Zhang; Qingju Liu
Journal:  Sci Rep       Date:  2017-05-16       Impact factor: 4.379

10.  Accelerated Shape Forming and Recovering, Induction, and Release of Adhesiveness of Conductive Carbon Nanotube/Epoxy Composites by Joule Heating.

Authors:  Petr Slobodian; Pavel Riha; Robert Olejnik; Jiri Matyas
Journal:  Polymers (Basel)       Date:  2020-05-01       Impact factor: 4.329

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