Optimization of the design of experimental (DoE) simulations of Ion-sensitive Field Effect Transistors
To make personalised medicines for cancer treatment we need to detect a specific antigen with antibodies. Studies are being carried out for these antigen-antibody interactions. This can be done with the help of nano biosensors. Nano biosensors are nano-scaled biosensors used to detect specific biomolecules in the sample. The sample can be present in a solution. This thesis is a radical vision of imitating the electrochemical synthesis of peptide [1] receptors by a programmable in-situ protein (target molecules) detection with nano-functionalised FinFET sensors by simulations.
In order to do so, we have started first by simulation of an Ion-sensing field effect tran sistor(ISFET) where we detect the ions to determine the absolute pH of the solution. The ions/target molecules are protons in this case. The receptors are further modified to increase the surface complexity. This helps us understand better the solution/surface interactions which will help us in future to detect a specific protein.
This thesis aims to achieve a technological breakthrough of the first fully programmable ion screening simulation tool. This simulation tool will come as a faster, cheaper, and more efficient technology. The simulation of this is performed by using MATLAB and Synopsys Sentaurus TCAD software. A study of different types of models for the bio-interface along with an analysis of output characteristics obtained from simulation is presented in this report.
http://theses.gla.ac.uk/83715/10.5525/gla.thesis.83715
https://theses.gla.ac.uk/83715/1/2023DharPhD.pdf