Techniques to Improve the Performance of Planar Microwave Sensors : A Review and Recent Developments
Abdolrazzaghi, Mohammad (University of Toronto. Electrical and Computer Engineering Department)
Nayyeri, Vahid (Iran University of Science and Technology. School of Advanced Technologies)
Martín, Ferran (Universitat Autònoma de Barcelona. Departament d'Enginyeria Electrònica)

Date:	2022
Abstract:	Planar microwave sensors have become increasing developed in recent decades, especially in material characterization (solid/liquid) as they provide regions highly sensitive to the surrounding medium. However, when it comes to deciphering the content of practical biological analytes or chemical components inside a host medium, even higher sensitivities are required due to their minute concentrations. This review article presents a comprehensive outlook on various methodologies to enhance sensitivity (e. g. , coupling resonators, channel embedding, analyte immobilization, resonator pattern recognition, use of phase variation, using coupled line section, and intermodulation products), resolution (active sensors, differential measurements), and robustness (using machine learning) of arbitrary sensors of interest. Some of the most practical approaches are presented with prototype examples, and the main applications of incorporating such procedures are reported. Sensors with which the proposed techniques are implemented exhibit higher performance for high-end and real-life use.
Grants:	Agencia Estatal de Investigación PID2019-103904RB-I00 Agencia Estatal de Investigación PDC2021-121085-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1159
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Microwave sensor ; Dielectric characterization ; Microfluidics ; Sensitivity ; Resolution ; Active sensor ; Machine learning ; Resonators
Published in:	Sensors (Basel, Switzerland), Vol. 22, Issue 18 (September 2022) , art. 6946, ISSN 1424-8220

DOI: 10.3390/s22186946
PMID: 36146297

57 p, 59.0 MB

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