Surface plasmon-based sensing

This report presents a simplified model on the characterization of surface plasmon resonance (SPR)-based refractive index sensor using spectral detection technique. The theoretical simulation uses a multi-layer Kretschmann configuration model which consists of prism, gold layer, linker layer, sample...

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Main Author: Yang, Lei
Other Authors: Shum Ping
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16721
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-167212023-07-07T16:22:52Z Surface plasmon-based sensing Yang, Lei Shum Ping School of Electrical and Electronic Engineering Network Technology Research Centre DRNTU::Engineering::Electrical and electronic engineering::Electronic systems This report presents a simplified model on the characterization of surface plasmon resonance (SPR)-based refractive index sensor using spectral detection technique. The theoretical simulation uses a multi-layer Kretschmann configuration model which consists of prism, gold layer, linker layer, sample layer and buffer. Wavelength dependence of the materials has been included in the model. A better understanding of the effects from different parameters is essential for the sensor design and system optimization. The effects of the gold film, the linker and the sample are analyzed systematically by numerical simulation. The results show that for spectral detection, the optimal range of gold thickness is 40 nm to 50 nm and thickness for linker layer should be small within 1 nm to 20 nm. Thermal effect is also considered in the model by including the change of material thickness and dielectric constant due to thermal expansion. The results show that change in temperature will cause linear shift of resonance spectral. Based on the simplified model, the theoretical refractive index sensitivity of spectral detection can reach up to 1.5×10-5 refractive index unit (RIU) which agrees well with the experimental results. Bachelor of Engineering 2009-05-28T02:48:41Z 2009-05-28T02:48:41Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16721 en Nanyang Technological University 80 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::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Yang, Lei
Surface plasmon-based sensing
description This report presents a simplified model on the characterization of surface plasmon resonance (SPR)-based refractive index sensor using spectral detection technique. The theoretical simulation uses a multi-layer Kretschmann configuration model which consists of prism, gold layer, linker layer, sample layer and buffer. Wavelength dependence of the materials has been included in the model. A better understanding of the effects from different parameters is essential for the sensor design and system optimization. The effects of the gold film, the linker and the sample are analyzed systematically by numerical simulation. The results show that for spectral detection, the optimal range of gold thickness is 40 nm to 50 nm and thickness for linker layer should be small within 1 nm to 20 nm. Thermal effect is also considered in the model by including the change of material thickness and dielectric constant due to thermal expansion. The results show that change in temperature will cause linear shift of resonance spectral. Based on the simplified model, the theoretical refractive index sensitivity of spectral detection can reach up to 1.5×10-5 refractive index unit (RIU) which agrees well with the experimental results.
author2 Shum Ping
author_facet Shum Ping
Yang, Lei
format Final Year Project
author Yang, Lei
author_sort Yang, Lei
title Surface plasmon-based sensing
title_short Surface plasmon-based sensing
title_full Surface plasmon-based sensing
title_fullStr Surface plasmon-based sensing
title_full_unstemmed Surface plasmon-based sensing
title_sort surface plasmon-based sensing
publishDate 2009
url http://hdl.handle.net/10356/16721
_version_ 1772825381407031296