Surface plasmon resonance based fiber optics imaging and sensing

This project demonstrates a triple mode (sensing, imaging and phase shift measurement) set up using surface plasmon resonance (SPR) based senor and optical fiber. Kretschmann prism is used as the SPR sensor and an optical fiber based probe system with high resolution to transmit the image to the CCD...

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Main Author: Chuah, Boon Keong.
Other Authors: Murukeshan Vadakke Matham
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53544
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-535442023-03-04T18:27:17Z Surface plasmon resonance based fiber optics imaging and sensing Chuah, Boon Keong. Murukeshan Vadakke Matham School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering This project demonstrates a triple mode (sensing, imaging and phase shift measurement) set up using surface plasmon resonance (SPR) based senor and optical fiber. Kretschmann prism is used as the SPR sensor and an optical fiber based probe system with high resolution to transmit the image to the CCD camera. In order to obtain optimal results for SPR, parameter like gold thickness and dielectric constant for the dye layer were investigated. Matlab results suggest that gold thickness affects the refractive index resolution and optimal thickness can bring the reflectance dropped to near zero. The result also suggests that additional dye layer will either reduce or amplify the sensitivity of SPR sensor, detail analysis will be discussed in the report. Using the optimized parameters, experiments were carried out to image and sense test particles. This project focuses on the triple mode set up, which is rarely seen in all the other projects, it may also provide researches with valuable ideas of how SPR based sensor can be used to image and sense simultaneously hence encouraging them to take this set for future development. Bachelor of Engineering (Mechanical Engineering) 2013-06-05T02:52:09Z 2013-06-05T02:52:09Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53544 en Nanyang Technological University 59 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Chuah, Boon Keong.
Surface plasmon resonance based fiber optics imaging and sensing
description This project demonstrates a triple mode (sensing, imaging and phase shift measurement) set up using surface plasmon resonance (SPR) based senor and optical fiber. Kretschmann prism is used as the SPR sensor and an optical fiber based probe system with high resolution to transmit the image to the CCD camera. In order to obtain optimal results for SPR, parameter like gold thickness and dielectric constant for the dye layer were investigated. Matlab results suggest that gold thickness affects the refractive index resolution and optimal thickness can bring the reflectance dropped to near zero. The result also suggests that additional dye layer will either reduce or amplify the sensitivity of SPR sensor, detail analysis will be discussed in the report. Using the optimized parameters, experiments were carried out to image and sense test particles. This project focuses on the triple mode set up, which is rarely seen in all the other projects, it may also provide researches with valuable ideas of how SPR based sensor can be used to image and sense simultaneously hence encouraging them to take this set for future development.
author2 Murukeshan Vadakke Matham
author_facet Murukeshan Vadakke Matham
Chuah, Boon Keong.
format Final Year Project
author Chuah, Boon Keong.
author_sort Chuah, Boon Keong.
title Surface plasmon resonance based fiber optics imaging and sensing
title_short Surface plasmon resonance based fiber optics imaging and sensing
title_full Surface plasmon resonance based fiber optics imaging and sensing
title_fullStr Surface plasmon resonance based fiber optics imaging and sensing
title_full_unstemmed Surface plasmon resonance based fiber optics imaging and sensing
title_sort surface plasmon resonance based fiber optics imaging and sensing
publishDate 2013
url http://hdl.handle.net/10356/53544
_version_ 1759856938564190208