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Enhancing sensitivity for surface pl...

Alleyne, Colin James.

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Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis./
Author:	Alleyne, Colin James.
Description:	162 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 0946.
Contained By:	Dissertation Abstracts International72-02B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR68503
ISBN:	9780494685037

Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis.
Alleyne, Colin James.

Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis. - 162 p.

Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 0946.

Thesis (Ph.D.)--McGill University (Canada), 2010.

Surface plasmon resonance (SPR) is a phenomena whereby photons are made to couple energy to a surface electron density wave traveling on a metal-dielectric interface. The coupling occurs at a specific energy and momentum, collectively referred to as the resonance condition, causing a dip in the reflected light. The characteristics of the dip are a function of the material properties at the interface; therefore monitoring the dip provides information about the local surface environment. Recent years have seen a push in SPR technology towards miniaturization, increased sensitivity, high throughput and multimodal approaches. This thesis focuses on two methods for improving the performance of SPR biosensors.

ISBN: 9780494685037Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis.
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100 1 $a Alleyne, Colin James. $3 1679201
245 1 0 $a Enhancing sensitivity for surface plasmon resonance biosensors using periodic structures and spectro-angular image analysis.
300 $a 162 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-02, Section: B, page: 0946.
502 $a Thesis (Ph.D.)--McGill University (Canada), 2010.
520 $a Surface plasmon resonance (SPR) is a phenomena whereby photons are made to couple energy to a surface electron density wave traveling on a metal-dielectric interface. The coupling occurs at a specific energy and momentum, collectively referred to as the resonance condition, causing a dip in the reflected light. The characteristics of the dip are a function of the material properties at the interface; therefore monitoring the dip provides information about the local surface environment. Recent years have seen a push in SPR technology towards miniaturization, increased sensitivity, high throughput and multimodal approaches. This thesis focuses on two methods for improving the performance of SPR biosensors.
520 $a First, SPR sensitivity is improved through the use of a surface plasmon bandgap structure. It is shown here that operating an SPR biosensor in angular interrogation mode near the edge of such a bandgap will result in a six fold increase in the sensitivity compared to SPR on a flat metallic surface under the same conditions.
520 $a Second, a method for improving the detection limit is shown using a novel data analysis technique based on image processing. A multimodal surface plasmon interrogation technique is used to create a 2-D image of the spectro-angular dispersion from a surface; which is then used to extract information about the surface environment using an eigenvector analysis technique developed to exploit the spectro-angular information. Using the novel eigenvector technique, designated as the Double Projection Method (DPM), on the spectro-angular data results in refractive index estimates over a wide dynamic range with a theoretical detection limit of 5x10-9 refractive index units (RIU); which is superior to the current highest sensitivity phase-based methods. Experimental work shows the DPM method capable of monitoring biomolecular interactions with small molecular weight reactants (&sim;400 Daltons) in real-time with an achieved resolution of 2x10-6 RIU.
590 $a School code: 0781.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Physics, Optics. $3 1018756
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710 2 $a McGill University (Canada). $3 1018122
773 0 $t Dissertation Abstracts International $g 72-02B.
790 $a 0781
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR68503