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Optimization of amperometric biosensor design using mathematical modelling and simulation

Optimization of amperometric biosensor design using mathematical modelling and simulation
Optimization of amperometric biosensor design using mathematical modelling and simulation
425 million adults suffered from diabetes globally in 2017 with a predicted increase of 50 % by 2045. One good way to reduce the impact of this disease is by continuously monitoring the glucose levels of the patient using analytical devices. We are trying to research a specific case of such analytical devices i.e., enzyme immobilized redox polymer layered biosensors for continuous glucose monitoring using mathematical models.
We have applied a transient numerical scheme using the commercial software MATLAB to solve the mathematical model. Mathematical verification of the system has been carried out by comparing our numerical results to steady state analytical solutions. We are trying to understand the transient regimes before the system reaches steady state. A novel validation procedure has been devised using the deflavinated enzyme to change the kinetic parameters in the physical system. The response will be compared with the simulated results.
We also present an optimization of the physical system by using engineering constraints. This work has the potential to better explain the working of analytical devices and improve their working.
Khan, Muhammad Hashim
f4c4453b-98ac-431a-8877-71d501f19b00
Bartlett, Philip N.
d99446db-a59d-4f89-96eb-f64b5d8bb075
Khan, Muhammad Hashim
f4c4453b-98ac-431a-8877-71d501f19b00
Bartlett, Philip N.
d99446db-a59d-4f89-96eb-f64b5d8bb075

Khan, Muhammad Hashim and Bartlett, Philip N. (2022) Optimization of amperometric biosensor design using mathematical modelling and simulation. Doctoral Research Poster Showcase, University of Southampton , Southampton, United Kingdom.

Record type: Conference or Workshop Item (Poster)

Abstract

425 million adults suffered from diabetes globally in 2017 with a predicted increase of 50 % by 2045. One good way to reduce the impact of this disease is by continuously monitoring the glucose levels of the patient using analytical devices. We are trying to research a specific case of such analytical devices i.e., enzyme immobilized redox polymer layered biosensors for continuous glucose monitoring using mathematical models.
We have applied a transient numerical scheme using the commercial software MATLAB to solve the mathematical model. Mathematical verification of the system has been carried out by comparing our numerical results to steady state analytical solutions. We are trying to understand the transient regimes before the system reaches steady state. A novel validation procedure has been devised using the deflavinated enzyme to change the kinetic parameters in the physical system. The response will be compared with the simulated results.
We also present an optimization of the physical system by using engineering constraints. This work has the potential to better explain the working of analytical devices and improve their working.

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More information

Published date: 6 December 2022
Venue - Dates: Doctoral Research Poster Showcase, University of Southampton , Southampton, United Kingdom, 2022-12-06

Identifiers

Local EPrints ID: 492750
URI: http://eprints.soton.ac.uk/id/eprint/492750
PURE UUID: 4738648d-3902-4e78-967b-82c1cd1d3243
ORCID for Muhammad Hashim Khan: ORCID iD orcid.org/0000-0002-7991-5654
ORCID for Philip N. Bartlett: ORCID iD orcid.org/0000-0002-7300-6900

Catalogue record

Date deposited: 13 Aug 2024 16:54
Last modified: 14 Aug 2024 02:01

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Contributors

Author: Muhammad Hashim Khan ORCID iD

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