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Dynamical models for the Ion Channel Switch (ICS) biosensor Moradi Monfared, Sahar
Abstract
This thesis derives dynamical models that explain the operation of a solid phase immunoassay biosensor, the Ion Channel Switch (ICS) biosensor. The ICS biosensor unlike similar biosensors admits multiple surface chemical reactions which make the mathematical models significantly more complex than models used to describe alike biosensors. A two dimensional partial differential equation describes the distribution of the analyte through out the flow chamber. The interaction of analyte and the immobilized species at the biosensor electrode is modeled through the boundary condition at the bottom of the flow chamber. This boundary condition couples the partial differential equation to a set of nonlinear ordinary differential equations which are used to describe the surface chemical reactions. This model produces accurate results particularly when the rate of transport of analyte to the biosensor surface is comparable to the rate of reactions occurring at the biosensor surface. However, when the rate of mass transport is much faster than the reaction rates, the dynamics of the ICS biosensor can be accurately described by a system of nonlinear ordinary differential equations in which analyte concentration is assumed constant. Accuracy of the derived mathematical models are verified by comparing the simulated biosensor response to that obtained from an experimental run of the ICS biosensor.
Item Metadata
Title |
Dynamical models for the Ion Channel Switch (ICS) biosensor
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2010
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Description |
This thesis derives dynamical models that explain the operation of a solid
phase immunoassay biosensor, the Ion Channel Switch (ICS) biosensor. The
ICS biosensor unlike similar biosensors admits multiple surface chemical reactions which make the mathematical models significantly more complex
than models used to describe alike biosensors. A two dimensional partial
differential equation describes the distribution of the analyte through out
the flow chamber. The interaction of analyte and the immobilized species
at the biosensor electrode is modeled through the boundary condition at
the bottom of the flow chamber. This boundary condition couples the partial differential equation to a set of nonlinear ordinary differential equations
which are used to describe the surface chemical reactions. This model produces accurate results particularly when the rate of transport of analyte to
the biosensor surface is comparable to the rate of reactions occurring at the
biosensor surface. However, when the rate of mass transport is much faster
than the reaction rates, the dynamics of the ICS biosensor can be accurately
described by a system of nonlinear ordinary differential equations in which
analyte concentration is assumed constant. Accuracy of the derived mathematical models are verified by comparing the simulated biosensor response
to that obtained from an experimental run of the ICS biosensor.
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Genre | |
Type | |
Language |
eng
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Date Available |
2010-08-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 3.0 Unported
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DOI |
10.14288/1.0064767
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2010-11
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 3.0 Unported