Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri

In this work, a small size of PC slab high sensitivity, and high accuracy sensor for measuring the performance of sensor application was realized in variation of sensing material such as cryptophane E, sugar-water solution and phosphate buffered saline (PBS) infiltrated photonic crystal cavity (PhCC...

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Main Author: Mohd Shafri, Nuraini Liyana
Format: Thesis
Language:English
Published: 2017
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Online Access:https://ir.uitm.edu.my/id/eprint/69083/1/69083.pdf
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spelling my-uitm-ir.690832023-03-09T07:57:18Z Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri 2017 Mohd Shafri, Nuraini Liyana Applied optics. Photonics In this work, a small size of PC slab high sensitivity, and high accuracy sensor for measuring the performance of sensor application was realized in variation of sensing material such as cryptophane E, sugar-water solution and phosphate buffered saline (PBS) infiltrated photonic crystal cavity (PhCC)_ by combining selective absorption characteristic of sensing material to gas, liquid and protein sensor. The parametric studies has been done by increased the refractive index (RI) of the different sensing material, increase the number of defected holes of PhCC and increase the radii of defected holes of the PhCC. The RI of different sensing material that infiltrated in defected holes of PhCC will induce a shift of resonant wavelength and allowing the precision absorption characteristic in different sensor application. In order to demonstrate the parametric studies based on 2D silicon PhCC, we used the finite difference time domain (FDTD) method to observe the performance of PhCC sensors. The simulation results of PhC microcavity for gas sensing show the RI sensitivity of 48.2 nm/RIU, a quality factor of 2551 and transmission of 0.3330. Liquid sensing simulation results shows the RI sensitivity of 46.3 nm/RIU, a quality factor of 1874 and transmission of 0.5690. In protein sensing results show, the RI sensitivity of 114.4 nm/RIU, quality factor of 1659 and transmission of 0.3814. The advantage of high sensitivity and high quality factor of the PhC microcavity which is, it can be used in other sensing material as well, and protein showed highest RI sensitivity value of 114.4 nm/RIU. The design has been realized in silicon photonic crystal structure. The whole design and simulation process is done by using the OptiFDTD software. 2017 Thesis https://ir.uitm.edu.my/id/eprint/69083/ https://ir.uitm.edu.my/id/eprint/69083/1/69083.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Awang, Aziati Husna
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Awang, Aziati Husna
topic Applied optics
Photonics
spellingShingle Applied optics
Photonics
Mohd Shafri, Nuraini Liyana
Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
description In this work, a small size of PC slab high sensitivity, and high accuracy sensor for measuring the performance of sensor application was realized in variation of sensing material such as cryptophane E, sugar-water solution and phosphate buffered saline (PBS) infiltrated photonic crystal cavity (PhCC)_ by combining selective absorption characteristic of sensing material to gas, liquid and protein sensor. The parametric studies has been done by increased the refractive index (RI) of the different sensing material, increase the number of defected holes of PhCC and increase the radii of defected holes of the PhCC. The RI of different sensing material that infiltrated in defected holes of PhCC will induce a shift of resonant wavelength and allowing the precision absorption characteristic in different sensor application. In order to demonstrate the parametric studies based on 2D silicon PhCC, we used the finite difference time domain (FDTD) method to observe the performance of PhCC sensors. The simulation results of PhC microcavity for gas sensing show the RI sensitivity of 48.2 nm/RIU, a quality factor of 2551 and transmission of 0.3330. Liquid sensing simulation results shows the RI sensitivity of 46.3 nm/RIU, a quality factor of 1874 and transmission of 0.5690. In protein sensing results show, the RI sensitivity of 114.4 nm/RIU, quality factor of 1659 and transmission of 0.3814. The advantage of high sensitivity and high quality factor of the PhC microcavity which is, it can be used in other sensing material as well, and protein showed highest RI sensitivity value of 114.4 nm/RIU. The design has been realized in silicon photonic crystal structure. The whole design and simulation process is done by using the OptiFDTD software.
format Thesis
qualification_level Master's degree
author Mohd Shafri, Nuraini Liyana
author_facet Mohd Shafri, Nuraini Liyana
author_sort Mohd Shafri, Nuraini Liyana
title Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
title_short Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
title_full Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
title_fullStr Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
title_full_unstemmed Physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / Nuraini Liyana Mohd Shafri
title_sort physical parametric studies of photonic crystal cavity affecting the performances of sensor applications / nuraini liyana mohd shafri
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/69083/1/69083.pdf
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