Modeling and Performance Comparison of Nanobiosensor for Automated Disease Detection

Automated disease detection and drug dosing is one of the most advanced emerging medical applications domain. With the advances in nanotechnology, nanobio sensors are being used to detect diseases. System level design and validation of automated disease detection unit is one of the challenging areas of study. In this paper, we develop a software based experimental setup for performance analysis of nanobio sensors for disease detection. Blood samples and fluids in human body are modeled using appropriate parameters and a mathematical model for nanobiosensor is developed. Performances of three nanobiosensors are analyzed and its properties are compared. Simulations of nanobiosensors are carried out using nanohub.org and Matlab. The results obtained are analyzed with simulation results in nanohub. The developed sensors are suitable for automated drug delivery unit.