title: Numerical simulation of particle transport and deposition in the pulmonary vasculature.
abstract: To quantify the transport and adhesion of drug particles in a complex vascular environment, computational fluid particle dynamics (CFPD) simulations of blood flow and drug particulate were conducted in three different geometries representing the human lung vasculature for steady and pulsatile flow conditions. A fully developed flow profile was assumed as the inlet velocity, and a lumped mathematical model was used for the calculation of the outlet pressure boundary condition. A receptor-ligand model was used to simulate the particle binding probability. The results indicate that bigger particles have lower deposition fraction due to less chance of successful binding. Realistic unsteady flow significantly accelerates the binding activity over a wide range of particle sizes and also improves the particle deposition fraction in bifurcation regions when comparing with steady flow condition. Furthermore, surface imperfections and geometrical complexity coupled with the pulsatility effect can enhance fluid mixing and accordingly particle binding efficiency. The particle binding density at bifurcation regions increases with generation order and drug carriers are washed away faster in steady flow. Thus, when studying drug delivery mechanism in vitro and in vivo, it is important to take into account blood flow pulsatility in realistic geometry. Moreover, tissues close to bifurcations are more susceptible to deterioration due to higher uptake.
authors.forename: Salman
authors.initials: S
authors.lastname: Sohrabi
authors.forename: Junda
authors.initials: J
authors.lastname: Zheng
authors.forename: Ender A
authors.initials: EA
authors.lastname: Finol
authors.forename: Yaling
authors.initials: Y
authors.lastname: Liu
mesh_terms: D000328:Adult; D001692:Biological Transport; D006801:Humans; D057446:Hydrodynamics; D008168:Lung / Q000098:blood supply*; D008954:Models, Biological; D010316:Particle Size; D011651:Pulmonary Artery / Q000000981:diagnostic imaging / Q000378:metabolism* / Q000502:physiology; D011673:Pulsatile Flow; D014057:Tomography, X-Ray Computed