Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.
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10361-86062019-09-30T02:56:10Z Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection Rashid, Md. Hasinur Ahmed, Syed Sanjid Haider, Kazi Miraz Al Das, Avijit Department of Electrical and Electronic Engineering, BRAC University LSPR Nano bi-pyramid Bio-molecule This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (page 48- 53). The Localized Surface Plasmon Resonance (LSPR) occurs when the electrons in the nanoparticles interact with incident electromagnetic field. The potential to develop highly sensitive and specific sensors for biological targets using LSPR motivates a portion of the research in this field as we have seen the use of LSPR spectroscopy in medical diagnostics and other applications in optics, photo catalysis, medicine and photovoltaics. Extensive works have been done by various researchers on LSPR characteristics and applications largely based on Gold (Au) and Silver (Ag) nanoparticles of different structures and shapes. In our research we studied LSPR characteristics of a single nano bi-pyramid made of different materials other than gold and silver. We calculate individual material performance of nano bi-pyramid of different dimensions and background environment using Mie calculation by finding extinction and electric field intensity and create database for the purpose of bio-molecule detection. Md. Hasinur Rashid Syed Sanjid Ahmed Kazi Miraz Al Haider B. Electrical and Electronic Engineering 2017-12-18T04:07:48Z 2017-12-18T04:07:48Z 2017 2017-08-20 Thesis ID 13121094 ID 12221059 ID 13321001 http://hdl.handle.net/10361/8606 en BRAC University thesis is protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 64 pages application/pdf BRAC University |
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Brac University |
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Institutional Repository |
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English |
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LSPR Nano bi-pyramid Bio-molecule |
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LSPR Nano bi-pyramid Bio-molecule Rashid, Md. Hasinur Ahmed, Syed Sanjid Haider, Kazi Miraz Al Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
description |
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017. |
author2 |
Das, Avijit |
author_facet |
Das, Avijit Rashid, Md. Hasinur Ahmed, Syed Sanjid Haider, Kazi Miraz Al |
format |
Thesis |
author |
Rashid, Md. Hasinur Ahmed, Syed Sanjid Haider, Kazi Miraz Al |
author_sort |
Rashid, Md. Hasinur |
title |
Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
title_short |
Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
title_full |
Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
title_fullStr |
Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
title_full_unstemmed |
Study of LSPR characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
title_sort |
study of lspr characteristics of nano bi-pyramid as metals, transition metal nitrides and transparent conducting oxides for bio-molecule detection |
publisher |
BRAC University |
publishDate |
2017 |
url |
http://hdl.handle.net/10361/8606 |
work_keys_str_mv |
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