Project Title: EG-CNTFET Biosensors for Foodborne Hazard Detection
Project Description: In this research endeavor, I focus on the development and enhancement of EG-CNTFET (Electrolyte-Gated Carbon Nanotube Field-Effect Transistor) biosensors for the detection of foodborne hazards, specifically bacteria and toxins. The primary objective of my project is to engineer highly sensitive and selective biosensors capable of rapid and accurate detection of foodborne pathogens and contaminants. To achieve this, I am exploring the integration of EG-CNTFETs with advanced bio-recognition elements, such as antibodies and aptamers, which can specifically bind to the target analytes of interest. In addition to detection sensitivity, device stability is a crucial aspect to ensure the reliability and long-term performance of these biosensors. To address this, I am investigating the use of a lipophilic membrane as a protective layer for the EG-CNTFET devices. The membrane acts as a barrier, shielding the CNTs from oxidation and interfering substances while maintaining their functionality over extended periods.
Another significant aspect of my project involves the mathematical modeling and simulation of EG-CNTFET biosensors. By developing an accurate mathematical model, I aim to gain deeper insights into the fundamental working principles of these devices. Through simulations, I can explore various operating conditions, analyze device behavior, and optimize their performance.
By combining experimental work, device engineering, and theoretical analysis, my research aims to advance the field of biosensors for foodborne hazard detection. The outcomes of this project will contribute to the development of innovative, stable, and highly sensitive biosensing platforms that have significant implications for food safety and public health.