Capteur à fibre optique basé sur le principe de Résonance de Plasmons de Surface : optimisation pour la détection d'espèces chimiques

Abstract : Surface plasmon resonance (SPR) has been effectively used in the last years for creating highly sensitive sensors required in various fields such as health, security, and environment. The aim of this work is to investigate sensors based on SPR. They are very attractive due to their advantages such as high accuracy and real time monitoring. The novelty of this work is the use of optical fibers to build SPR sensors and than adding new features such as device miniaturizing and remote control of the measurements.
The manuscript starts with a review of the theoretical treatment of surface plasmons. It continues with the presentation of the experimental set-up and details the process used for sensors manufacturing. It follows the experimental characterization of the SPR response for the obtained sensors. In particular, we have analyzed the effect of the ultra-thin metal film, of the fiber properties and the monolayer of thiols on the sensor sensitivity. The last section is dedicated to the numerical modelling of the sensor's response for both absorbing and non-absorbing media. This numerical study evaluates the effects of several other parameters on the sensor reponse, such as the effect of the thiol monolayer's refractive index on the SPR or kinetic studies of the absorbed organic materials (mass detection). From these numerical simulations, we demonstrate that the SPR theoretical curves agree well with experiments. The direct comparison between numerical and experimental results is used to optimize the physical parameters for the metal film and optical fiber characteristics.
Document type :
Theses
Condensed Matter. Université de Nantes, 2007. French


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Submitted on : Friday, June 27, 2008 - 12:20:38 AM
Last modification on : Friday, June 27, 2008 - 8:50:41 AM

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Karla Balaa. Capteur à fibre optique basé sur le principe de Résonance de Plasmons de Surface : optimisation pour la détection d'espèces chimiques. Condensed Matter. Université de Nantes, 2007. French. <tel-00291177>

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