Integrated experimental and computational approach for nanoparticle flow analysis

Abstract

We report a new method combining computational fluid dynamics and flow experiments with customized channels to understand the transport of nanoparticles. Iron oxide nanoparticles, being highly attractive for biomedical research are chosen as model nanoparticles for the transport studies. Four different polyvinyl pyrrolidone and polyethyleneimine coated iron oxide nanoparticles of hydrodynamic sizes ranging from 45–178 nm were synthesized. These nanoparticles were adjusted to different target mass concentrations and ran through a bent tube to determine flow velocity and mass loss, specific to the nanoparticles. Computational predictions were made for velocity and mass loss of fully developed flow of nanoparticles through bent channel, which compared well with experimental measurements. A diffusion dominated nanoparticle flow is predicted, based on our results. This work will provide a breakthrough for further experimental and computational research to help understand the nanoparticle targeted delivery and the design of nanoparticles for optimal delivery in biomedical applications.