Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications

The studied sensor consists of a microstrip interdigital capacitor covered by a gas sensing layer made of titanium dioxide (TiO2). To explore the gas sensing properties of the developed sensor, oxygen detection is considered as a case study. The sensor is electrically characterized using the complex...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2020-12, Vol.20 (24), p.7150, Article 7150
Hauptverfasser:	Marinkovic, Zlatica, Gugliandolo, Giovanni, Latino, Mariangela, Campobello, Giuseppe, Crupi, Giovanni, Donato, Nicola
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural networks bioengineering Chemistry Chemistry, Analytical Delivery of Health Care Dielectric properties Engineering Engineering, Electrical & Electronic Frequency ranges Gas flow Gas mixtures Gas sensors Gases Gases - analysis healthcare applications Instruments & Instrumentation interdigital capacitor Microwaves Network analysers Oxygen oxygen sensing Physical Sciences Resonant frequencies S parameters scattering parameter measurements Science & Technology Screen printing Sensors Technology Test chambers Titanium dioxide
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