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Numerical study of transient response in amperometric and potentiometric glucose biosensors

Numerical study of transient response in amperometric and potentiometric glucose biosensors
Numerical study of transient response in amperometric and potentiometric glucose biosensors
Biosensors are indispensable tools for continuous monitoring of key analytes, such as glucose, in chronic disease management. This thesis focuses on enzyme-immobilized redox polymer biosensors, leveraging reaction-diffusion partial differential equations (PDEs) to bridge the gap between theory and practical applications for biosensor design.

A transient numerical scheme in MATLAB was used to solve coupled non-linear PDEs, capturing the dynamic behavior of enzyme-membrane systems. Verification was achieved by comparing steady-state analytical solutions with numerical outputs, while Case diagrams were used to identify different kinetic and transport regimes. Experiments with deflavinated enzymes provided a means to validate our model by systematically manipulating key parameters. Simulation results were compared with experimental data, revealing key insights into transient enzyme-membrane interactions.

The study also investigated tubular flow electrodes, revealing the dependence of steady-state amperometric responses on solution viscosity under flow conditions. Experimentally obtained chronoamperograms were fitted to numerically solved dynamic simulations, confirming the model's predictive capabilities. Novel boundary conditions were also proposed to simulate potentiometric biosensors, broadening the scope of this work beyond amperometric sensing.

Animations visualizing concentration profiles and system responses offer a deeper understanding of transient and steady-state behaviors. These insights can contribute to the optimization of biosensor performance, including sensitivity, dynamic range, and response time, advancing the development of robust and accurate glucose monitoring technologies.
Khan, Muhammad Hashim
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Khan, Muhammad Hashim
f4c4453b-98ac-431a-8877-71d501f19b00
Bartlett, Philip
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Denuault, Guy
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Khan, Muhammad Hashim (2025) Numerical study of transient response in amperometric and potentiometric glucose biosensors. University of Southampton, Doctoral Thesis, 247pp.

Record type: Thesis (Doctoral)

Abstract

Biosensors are indispensable tools for continuous monitoring of key analytes, such as glucose, in chronic disease management. This thesis focuses on enzyme-immobilized redox polymer biosensors, leveraging reaction-diffusion partial differential equations (PDEs) to bridge the gap between theory and practical applications for biosensor design.

A transient numerical scheme in MATLAB was used to solve coupled non-linear PDEs, capturing the dynamic behavior of enzyme-membrane systems. Verification was achieved by comparing steady-state analytical solutions with numerical outputs, while Case diagrams were used to identify different kinetic and transport regimes. Experiments with deflavinated enzymes provided a means to validate our model by systematically manipulating key parameters. Simulation results were compared with experimental data, revealing key insights into transient enzyme-membrane interactions.

The study also investigated tubular flow electrodes, revealing the dependence of steady-state amperometric responses on solution viscosity under flow conditions. Experimentally obtained chronoamperograms were fitted to numerically solved dynamic simulations, confirming the model's predictive capabilities. Novel boundary conditions were also proposed to simulate potentiometric biosensors, broadening the scope of this work beyond amperometric sensing.

Animations visualizing concentration profiles and system responses offer a deeper understanding of transient and steady-state behaviors. These insights can contribute to the optimization of biosensor performance, including sensitivity, dynamic range, and response time, advancing the development of robust and accurate glucose monitoring technologies.

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Hashim Khan Final Thesis - Version of Record
Restricted to Repository staff only until 28 February 2026.
Available under License University of Southampton Thesis Licence.
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More information

Submitted date: 2025
Published date: 2025

Identifiers

Local EPrints ID: 499278
URI: http://eprints.soton.ac.uk/id/eprint/499278
PURE UUID: d18db1de-1eb7-4746-b1f6-0682a25f70d1
ORCID for Muhammad Hashim Khan: ORCID iD orcid.org/0000-0002-7991-5654
ORCID for Philip Bartlett: ORCID iD orcid.org/0000-0002-7300-6900
ORCID for Guy Denuault: ORCID iD orcid.org/0000-0002-8630-9492

Catalogue record

Date deposited: 13 Mar 2025 17:40
Last modified: 03 Jul 2025 02:27

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Contributors

Author: Muhammad Hashim Khan ORCID iD
Thesis advisor: Philip Bartlett ORCID iD
Thesis advisor: Guy Denuault ORCID iD

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