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Computational Investigation of Advanced Refractive Index Sensor Using 3-Dimensional Metamaterial Based Nanoantenna Array

Lookup NU author(s): Dr Sneha Verma

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Photonic researchers are increasingly exploiting nanotechnology due to the developmentof numerous prevalent nanosized manufacturing technologies, which has enabled novel shape-optimized nanostructures to be manufactured and investigated. Hybrid nanostructures that integratedielectric resonators with plasmonic nanostructures are also offering new opportunities. In this work,we have explored a hybrid coupled nano-structured antenna with stacked multilayer lithium tantalate(LiTaO3) and Aluminum oxide (Al2O3), operating at wavelength ranging from 400 nm to 2000 nm.Here, the sensitivity response has been explored of these nano-structured hybrid arrays. It showsa strong electromagnetic confinement in the separation gap (g) of the dimers due to strong surfaceplasmon resonance (SPR). The influences of the structural dimensions have been investigated tooptimize the sensitivity. The designed hybrid coupled nanostructure with the combination of 10 layersof gold (Au) and Lithium tantalate (LiTaO3) or Aluminum oxide (Al2O3) (five layers each) havingheight, h1 = h2 = 10 nm exhibits 730 and 660 nm/RIU sensitivity, respectively. The sensitivity of theproposed hybrid nanostructure has been compared with a single metallic (only gold) elliptical pairednanostructure. Depending on these findings, we demonstrated that a roughly two-fold increase in thesensitivity (S) can be obtained by utilizing a hybrid coupled nanostructure compared to an identicalnanostructure, which competes with traditional sensors of the same height, (h). Our innovative novelplasmonic hybrid nanostructures provide a framework for developing plasmonic nanostructures foruse in various sensing applications.


Publication metadata

Author(s): Verma Sneha, Rahman BMA

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2023

Volume: 23

Issue: 3

Print publication date: 01/02/2023

Online publication date: 23/01/2023

Acceptance date: 21/01/2023

Date deposited: 19/09/2024

ISSN (print): 1424-8239

ISSN (electronic): 1424-8220

Publisher: MDPI AG

URL: https://doi.org/10.3390/s23031290

DOI: 10.3390/s23031290

Data Access Statement: The supporting information can be found from the corresponding author


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