Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments

This paper presents an inkjet-printed differential passive microwave planar resonator-based sensor for toxic vapor detection at room temperature. Two devices are presented, with 5 (D1) and 50 (D2) layers of composite sensitive film (PEDOT:PSS-MWCNTs). Each one consists of two band-pass resonators wi...

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Main Authors: Hallil, Hamida, Bahoumina, Prince, Pieper, Katrin, Lachaud, Jean Luc, Rebiere, Dominique, Abdelghani, Aymen, Frigui, Kamel, Bila, Stéphane, Baillargeat, Dominique, Zhang, Qing, Coquet, Philippe, Pichonat, Emmanuelle, Happy, Henri, Dejous, Corinne
Other Authors: Research Techno Plaza
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/150871
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1508712021-06-02T06:00:17Z Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments Hallil, Hamida Bahoumina, Prince Pieper, Katrin Lachaud, Jean Luc Rebiere, Dominique Abdelghani, Aymen Frigui, Kamel Bila, Stéphane Baillargeat, Dominique Zhang, Qing Coquet, Philippe Pichonat, Emmanuelle Happy, Henri Dejous, Corinne Research Techno Plaza Engineering::Electrical and electronic engineering Chemical Gas Sensor Composite Polymer Carbon Nanoparticles This paper presents an inkjet-printed differential passive microwave planar resonator-based sensor for toxic vapor detection at room temperature. Two devices are presented, with 5 (D1) and 50 (D2) layers of composite sensitive film (PEDOT:PSS-MWCNTs). Each one consists of two band-pass resonators with the fundamental modes around 2.5 and 2.7 GHz. Theoretical and experimental results are presented, both devices show sensitivity to ethanol vapor ranging from 500 to 1300 ppm according to the magnitude and resonant frequency shifts of their scattering parameters (S-parameters). Limitations due to a continuous drift on both the reference and the sensitive channels are discussed. Though further improvements are needed, such sensor is a good candidate for integration into real-time multi-sensing platforms adaptable for the Internet of Things. This work was supported in part by the French National Research Agency under Project ANR-13-BS03-0010 and in part by the “Investments for the future” Programme IdEx Bordeaux, under Grant ANR-10-IDEX-03-02. 2021-06-02T06:00:17Z 2021-06-02T06:00:17Z 2019 Journal Article Hallil, H., Bahoumina, P., Pieper, K., Lachaud, J. L., Rebiere, D., Abdelghani, A., Frigui, K., Bila, S., Baillargeat, D., Zhang, Q., Coquet, P., Pichonat, E., Happy, H. & Dejous, C. (2019). Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments. IEEE Sensors Journal, 19(4), 1346-1353. https://dx.doi.org/10.1109/JSEN.2018.2881487 1530-437X 0000-0001-7975-6502 0000-0002-5395-1905 0000-0001-9928-0994 0000-0003-2065-8080 0000-0002-9004-7966 https://hdl.handle.net/10356/150871 10.1109/JSEN.2018.2881487 2-s2.0-85056607268 4 19 1346 1353 en IEEE Sensors Journal © 2018 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Chemical Gas Sensor
Composite Polymer Carbon Nanoparticles
spellingShingle Engineering::Electrical and electronic engineering
Chemical Gas Sensor
Composite Polymer Carbon Nanoparticles
Hallil, Hamida
Bahoumina, Prince
Pieper, Katrin
Lachaud, Jean Luc
Rebiere, Dominique
Abdelghani, Aymen
Frigui, Kamel
Bila, Stéphane
Baillargeat, Dominique
Zhang, Qing
Coquet, Philippe
Pichonat, Emmanuelle
Happy, Henri
Dejous, Corinne
Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
description This paper presents an inkjet-printed differential passive microwave planar resonator-based sensor for toxic vapor detection at room temperature. Two devices are presented, with 5 (D1) and 50 (D2) layers of composite sensitive film (PEDOT:PSS-MWCNTs). Each one consists of two band-pass resonators with the fundamental modes around 2.5 and 2.7 GHz. Theoretical and experimental results are presented, both devices show sensitivity to ethanol vapor ranging from 500 to 1300 ppm according to the magnitude and resonant frequency shifts of their scattering parameters (S-parameters). Limitations due to a continuous drift on both the reference and the sensitive channels are discussed. Though further improvements are needed, such sensor is a good candidate for integration into real-time multi-sensing platforms adaptable for the Internet of Things.
author2 Research Techno Plaza
author_facet Research Techno Plaza
Hallil, Hamida
Bahoumina, Prince
Pieper, Katrin
Lachaud, Jean Luc
Rebiere, Dominique
Abdelghani, Aymen
Frigui, Kamel
Bila, Stéphane
Baillargeat, Dominique
Zhang, Qing
Coquet, Philippe
Pichonat, Emmanuelle
Happy, Henri
Dejous, Corinne
format Article
author Hallil, Hamida
Bahoumina, Prince
Pieper, Katrin
Lachaud, Jean Luc
Rebiere, Dominique
Abdelghani, Aymen
Frigui, Kamel
Bila, Stéphane
Baillargeat, Dominique
Zhang, Qing
Coquet, Philippe
Pichonat, Emmanuelle
Happy, Henri
Dejous, Corinne
author_sort Hallil, Hamida
title Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
title_short Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
title_full Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
title_fullStr Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
title_full_unstemmed Differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
title_sort differential passive microwave planar resonator-based sensor for chemical particle detection in polluted environments
publishDate 2021
url https://hdl.handle.net/10356/150871
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