READ ME File For Dataset in support of thesis titled "Numerical Study of Transient Response in Amperometric and Potentiometric Glucose Biosensors"

Dataset DOI: https://doi.org/10.5258/SOTON/D3176

ReadMe Author: MUHAMMAD HASHIM KHAN, 
https://orcid.org/0000-0002-7991-5654

This dataset supports the thesis entitled Optimization of Amperometric Biosensor Design via Mathematical Modelling and Simulation"
Univeristy of Southampton
Submitted for examination 2024

DESCRIPTION OF THE DATA
[This should include a detailed description of the data, how it was collected/created, any specialist software needed to view the data]

This dataset contains:
1-.gif files containing animations for the reaction-diffusion simulations for different input parameters. Animation Created in MATLAB R2022A. .gif files can be viewed in any modern web browser.  
2-.gif files containing animations for the Case diagram created in Wolfram Mathematica 13.1.  
3-.m files containing MATLAB code for the readers to reproduce the simulations. Files titled "ND_PS_EK_PencilE_SubStep_v3.mlx" and "Fit_PS_PencilE_Caller.mlx" are associated with Chapter 4. 


Licence: All Rights Reserved


Related projects/Funders:
We are grateful for financial support from the European Union Horizon 2020 research and innovation program under the Marie Sklodowska-Curie MSCA-ITN "ImplantSens" Grant Number [813006].

Date that the file was created: July, 2024