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Trilayered Gires-Tournois Resonator with Ultrasensitive Slow-Light Condition for Colorimetric Detection of Bioparticles

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Abstract
Over the past few decades, advances in various nanophotonic structures to enhance light-matter interactions have opened numerous opportunities for biosensing applications. Beyond the successful development of label-free nanophotonic biosensors that utilize plasmon resonances in metals and Mie resonances in dielectrics, simpler structures are required to achieve improved sensor performance and multifunctionality, while enabling cost-effective fabrication. Here, we present a simple and effectual approach to colorimetric biosensing utilizing a trilayered Gires-Tournois (GT) resonator, which provides a sensitive slow-light effect in response to low refractive index (RI) substances and thus enables to distinguish low RI bioparticles from the background with spatially distinct color differences. For low RI sensitivity, by impedance matching based on the transmission line model, trilayer configuration enables the derivation of optimal designs to achieve the unity absorption condition in a low RI medium, which is difficult to obtain with the conventional GT configuration. Compared to conventional bilayered GT resonators, the trilayered GT resonator shows significant sensing performance with linear sensitivity in various situations with low RI substances. For extended applications, several proposed designs of trilayered GT resonators are presented in various material combinations by impedance matching using equivalent transmission line models. Further, comparing the color change of different substrates with low RI NPs using finite-difference time-domain (FDTD) simulations, the proposed GT structure shows surpassing colorimetric detection.
Author(s)
Kang, JiwonYoo, Young JinKo, Joo HwanMahmud, Abdullah AlSong, Young Min
Issued Date
2023-01
Type
Article
DOI
10.3390/nano13020319
URI
https://scholar.gist.ac.kr/handle/local/10410
Publisher
MDPI
Citation
NANOMATERIALS, v.13, no.2
ISSN
2079-4991
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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