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Towards scalable plasmonic Fano-resonant metasurfaces for colorimetric sensing.
Cerjan, Benjamin; Gerislioglu, Burak; Link, Stephan; Nordlander, Peter; Halas, Naomi J; Griep, Mark H.
Afiliação
  • Cerjan B; Smalley-Curl Institute, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
  • Gerislioglu B; Laboratory for Nanophotonics, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
  • Link S; Department of Electrical and Computer Engineering, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
  • Nordlander P; Smalley-Curl Institute, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
  • Halas NJ; Laboratory for Nanophotonics, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
  • Griep MH; Department of Physics and Astronomy, Rice University, 6100 Main Street, Houston, TX, 77005, United States of America.
Nanotechnology ; 33(40)2022 Jul 11.
Article em En | MEDLINE | ID: mdl-35732108
ABSTRACT
Transitioning plasmonic metasurfaces into practical, low-cost applications requires meta-atom designs that focus on ease of manufacturability and a robustness with respect to structural imperfections and nonideal substrates. It also requires the use of inexpensive, earth-abundant metals such as Al for plasmonic properties. In this study, we focus on combining two aspects of plasmonic metasurfaces-visible coloration and Fano resonances-in a morphology amenable to scalable manufacturing. The resulting plasmonic metasurface is a candidate for reflective colorimetric sensing. We examine the potential of this metasurface for reflective strain sensing, where the periodicity of the meta-atoms could ultimately be modified by a potential flexion, and for localized surface plasmon resonance refractive index sensing. This study evaluates the potential of streamlined meta-atom design combined with low-cost metallization for inexpensive sensor readout based on human optical perception.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article