High-sensitivity capsule-shaped sensor based on 2D photonic crystals

This paper presents a new capsule-shaped sensor to detect the glucose concentration in the human body. The model under study was formulated by relying on the index change in the refractive index (RI) because of the change in the sample that infiltrated the cavity. The index of refraction change is a...

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Main Authors: Maache M., Fazea Y., Hassan I.B., Alkahtani A.A., Din I.U.
Other Authors: 57198783696
Format: Article
Published: MDPI AG 2023
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spelling my.uniten.dspace-252682023-05-29T16:07:43Z High-sensitivity capsule-shaped sensor based on 2D photonic crystals Maache M. Fazea Y. Hassan I.B. Alkahtani A.A. Din I.U. 57198783696 56803894200 57211156967 55646765500 55428202900 This paper presents a new capsule-shaped sensor to detect the glucose concentration in the human body. The model under study was formulated by relying on the index change in the refractive index (RI) because of the change in the sample that infiltrated the cavity. The index of refraction change is accompanied by modifying the resonant wavelength. The recommended model has considered the simple shape and ease of manufacture, along with other characteristics such as sensitivity and a low detection limit. The results report a high sensitivity of S = 546.72 nm/RI unit (RIU), a high quality factor of Q = 2066.24, a low detection limit of DL = 1.44 � 10-4 RIU, and a high value of transmission of 97%, which are considered to be sufficient and efficient in detecting measured material. This proposed model provides many opportunities and is promising for the manufacture of different types of sensing detection devices. � 2020 by the authors. Final 2023-05-29T08:07:43Z 2023-05-29T08:07:43Z 2020 Article 10.3390/sym12091480 2-s2.0-85090934609 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090934609&doi=10.3390%2fsym12091480&partnerID=40&md5=833cb8e658f3bc5ac89a14753e165720 https://irepository.uniten.edu.my/handle/123456789/25268 12 9 1480 All Open Access, Gold, Green MDPI AG Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper presents a new capsule-shaped sensor to detect the glucose concentration in the human body. The model under study was formulated by relying on the index change in the refractive index (RI) because of the change in the sample that infiltrated the cavity. The index of refraction change is accompanied by modifying the resonant wavelength. The recommended model has considered the simple shape and ease of manufacture, along with other characteristics such as sensitivity and a low detection limit. The results report a high sensitivity of S = 546.72 nm/RI unit (RIU), a high quality factor of Q = 2066.24, a low detection limit of DL = 1.44 � 10-4 RIU, and a high value of transmission of 97%, which are considered to be sufficient and efficient in detecting measured material. This proposed model provides many opportunities and is promising for the manufacture of different types of sensing detection devices. � 2020 by the authors.
author2 57198783696
author_facet 57198783696
Maache M.
Fazea Y.
Hassan I.B.
Alkahtani A.A.
Din I.U.
format Article
author Maache M.
Fazea Y.
Hassan I.B.
Alkahtani A.A.
Din I.U.
spellingShingle Maache M.
Fazea Y.
Hassan I.B.
Alkahtani A.A.
Din I.U.
High-sensitivity capsule-shaped sensor based on 2D photonic crystals
author_sort Maache M.
title High-sensitivity capsule-shaped sensor based on 2D photonic crystals
title_short High-sensitivity capsule-shaped sensor based on 2D photonic crystals
title_full High-sensitivity capsule-shaped sensor based on 2D photonic crystals
title_fullStr High-sensitivity capsule-shaped sensor based on 2D photonic crystals
title_full_unstemmed High-sensitivity capsule-shaped sensor based on 2D photonic crystals
title_sort high-sensitivity capsule-shaped sensor based on 2d photonic crystals
publisher MDPI AG
publishDate 2023
_version_ 1806424076255756288
score 13.189132