Metamaterial-based sensor for skin disease diagnostics

L. La Spada, R. Iovine, R. Tarparelli, L. Vegni

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)

Abstract

Skin absorption properties, under diseases conditions, are modified due to the structural variations of chromophores and pigments. The measurement of such different absorptions can be a useful tool for the recognition of different skin diseases. In this study the design of a multi-resonant metamaterial-based sensor operating in the optical frequency range is presented. The sensor has been designed, in order to have multiple specific resonant frequencies, tuned to the skin components spectral characteristics. A change in the frequency amplitude of the sensor response is related to the different absorption rate of skin chromophores and pigments. A new analytical model, describing the multi-resonant sensor behaviour, is developed. Good agreement among analytical and numerical results was achieved. Full-wave simulations have validated the capability of the proposed sensor to identify different skin diseases.

Original languageEnglish
Title of host publicationIntegrated Photonics
Subtitle of host publicationMaterials, Devices, and Applications II
Volume8767
DOIs
Publication statusPublished - 22 May 2013
EventIntegrated Photonics: Materials, Devices, and Applications II - Grenoble, United States
Duration: 24 Apr 201326 Apr 2013

Conference

ConferenceIntegrated Photonics: Materials, Devices, and Applications II
CountryUnited States
CityGrenoble
Period24/04/1326/04/13

Keywords

  • Analytical models
  • Biomedical applications
  • Localized Surface Plasmon Resonance
  • Multilayer structure

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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  • Cite this

    La Spada, L., Iovine, R., Tarparelli, R., & Vegni, L. (2013). Metamaterial-based sensor for skin disease diagnostics. In Integrated Photonics: Materials, Devices, and Applications II (Vol. 8767). [87670T] https://doi.org/10.1117/12.2017561