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Metasurfaces for Advanced Sensing and Diagnostics

Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and safety. Different electromagnetic technologies have been recently used and achieved good performances. Despite the plethora of...

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Detalles Bibliográficos
Autor principal: La Spada, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359273/
https://www.ncbi.nlm.nih.gov/pubmed/30654582
http://dx.doi.org/10.3390/s19020355
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author La Spada, Luigi
author_facet La Spada, Luigi
author_sort La Spada, Luigi
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description Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and safety. Different electromagnetic technologies have been recently used and achieved good performances. Despite the plethora of literature, limitations are still present: limited response control, narrow bandwidth, and large dimensions. MetaSurfaces, artificial 2D materials with peculiar electromagnetic properties, can help to overcome such issues. In this paper, a generic tool to model, design, and manufacture MetaSurface sensors is developed. First, their properties are evaluated in terms of impedance and constitutive parameters. Then, they are linked to the structure physical dimensions. Finally, the proposed method is applied to realize devices for advanced sensing and medical diagnostic applications: glucose measurements, cancer stage detection, water content recognition, and blood oxygen level analysis. The proposed method paves a new way to realize sensors and control their properties at will. Most importantly, it has great potential to be used for many other practical applications, beyond sensing and diagnostics.
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spelling pubmed-63592732019-02-06 Metasurfaces for Advanced Sensing and Diagnostics La Spada, Luigi Sensors (Basel) Article Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and safety. Different electromagnetic technologies have been recently used and achieved good performances. Despite the plethora of literature, limitations are still present: limited response control, narrow bandwidth, and large dimensions. MetaSurfaces, artificial 2D materials with peculiar electromagnetic properties, can help to overcome such issues. In this paper, a generic tool to model, design, and manufacture MetaSurface sensors is developed. First, their properties are evaluated in terms of impedance and constitutive parameters. Then, they are linked to the structure physical dimensions. Finally, the proposed method is applied to realize devices for advanced sensing and medical diagnostic applications: glucose measurements, cancer stage detection, water content recognition, and blood oxygen level analysis. The proposed method paves a new way to realize sensors and control their properties at will. Most importantly, it has great potential to be used for many other practical applications, beyond sensing and diagnostics. MDPI 2019-01-16 /pmc/articles/PMC6359273/ /pubmed/30654582 http://dx.doi.org/10.3390/s19020355 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
La Spada, Luigi
Metasurfaces for Advanced Sensing and Diagnostics
title Metasurfaces for Advanced Sensing and Diagnostics
title_full Metasurfaces for Advanced Sensing and Diagnostics
title_fullStr Metasurfaces for Advanced Sensing and Diagnostics
title_full_unstemmed Metasurfaces for Advanced Sensing and Diagnostics
title_short Metasurfaces for Advanced Sensing and Diagnostics
title_sort metasurfaces for advanced sensing and diagnostics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359273/
https://www.ncbi.nlm.nih.gov/pubmed/30654582
http://dx.doi.org/10.3390/s19020355
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