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Electromagnetic Nanoparticles for Sensing and Medical Diagnostic Applications

La Spada, Luigi; Vegni, Lucio

Authors

Lucio Vegni



Abstract

A modeling and design approach is proposed for nanoparticle-based electromagnetic devices. First, the structure properties were analytically studied using Maxwell’s equations. The method provides us a robust link between nanoparticles electromagnetic response (amplitude and phase) and their geometrical characteristics (shape, geometry, and dimensions). Secondly, new designs based on “metamaterial” concept are proposed, demonstrating great performances in terms of wide-angle range functionality and multi/wide behavior, compared to conventional devices working at the same frequencies. The approach offers potential applications to build-up new advanced platforms for sensing and medical diagnostics. Therefore, in the final part of the article, some practical examples are reported such as cancer detection, water content measurements, chemical analysis, glucose concentration measurements and blood diseases monitoring

Citation

La Spada, L., & Vegni, L. (2018). Electromagnetic Nanoparticles for Sensing and Medical Diagnostic Applications. Materials, 11(4), 603. https://doi.org/10.3390/ma11040603

Journal Article Type Review
Acceptance Date Apr 9, 2018
Online Publication Date Apr 13, 2018
Publication Date Apr 13, 2018
Deposit Date Nov 15, 2018
Publicly Available Date Nov 16, 2018
Journal Materials
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 4
Pages 603
DOI https://doi.org/10.3390/ma11040603
Keywords metamaterials; nanoparticles; modeling; design; sensors; cancer detection; glucose measurements; medical diagnostics
Public URL http://researchrepository.napier.ac.uk/Output/1358024
Contract Date Nov 15, 2018

Files

Materials-11-00603 (1.7 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).







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