Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590071
Title: Design and analysis of novel photonic crystal fibre and waveguide surface plasmon resonance biosensors operating in aqueous environments
Author: Akowuah, E. K.
Awarding Body: University of Kent
Current Institution: University of Kent
Date of Award: 2012
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Abstract:
Surface plasmon resonance (SPR) sensors provide high sensitivity without the use of molecular labels. Most commercial SPR biosensors are based on the simple, robust and highly sensitive traditional prism-coupled configuration. However, they are not amenable to miniaturization and integration. This has led to a growing interest in the development of robust, portable and highly sensitive SPR sensing devices capable of out of laboratory measurements. This thesis covers the modelling of these sensors, using the full vectorial finite element and the eigenmode expansion methods with the aim of optimising the proposed sensors for operation in aqueous environments. The thesis focuses on designs based on photonic crystal fibres and planar waveguides to achieve highly sensitive and compact platforms capable of multi analyte I channel operation. It is no longer feasible to optimise designs by simply fabricating and testing a large set of possible alternatives. This can be time consuming for complex devices such as SPR sensors. This requires computer models which can simulate the behaviour of the different designs in an accurate and speedy manner. This will make it possible to accurately predict device performance characteristics for different material and structural configurations, thereby affording designers the opportunity to experiment with different system configurations for optimal performance. In order to maintain modelling accuracy, all materials are modelled as dispersive and a full-wave analysis is undertaken. to account for the important frequency dependent effects. At every stage in this research, .,care was taken to bench-mark our results against the best available data, whether numerical or analytical whenever available, in order to validate our work. The effects of structural and material parameters on sensor performance metrics such as sensitivity are thoroughly investigated to arrive at optimised designs.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.590071  DOI: Not available
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