Meeting Banner
Abstract #1262

Monte Carlo Simulation for Magnetic Nanoparticle Biosensors

Tristhal Parasram1, Rongsheng Lu2, Yi Chen2, and Dan Xiao1
1University of Windsor, Windsor, ON, Canada, 2Southeast University, Nanjing, China

Magnetic nanoparticles can bind to biomarkers. The particles dispersed in solution become clustered if the targets exist, leading to a different T2 relaxation time. The relaxation switch mechanism has been applied as a biosensor for various biomarkers. However, the change in relaxation rate is related to the nanoparticle size and concentration. Some theoretical models have been applied to predict this rate of change in search for the optimal system parameters. In this work, an open-source Monte Carlo algorithm has been developed to simulate water diffusion in microscopic environments with nanoparticles and the effective T2 relaxation times.

This abstract and the presentation materials are available to members only; a login is required.

Join Here