title: Computational study of particle size effects on selective binding of nanoparticles in arterial stenosis.
abstract: In order to elucidate particle size and wall shear effects on the selective binding of nanoparticles to vessel wall, particle binding to the wall of arterial stenosis was computationally analyzed using a transport and reaction model. The attachment rate constant was modeled as a function of shear rate and particle size. The results showed that it had a positive correlation with the shear rate for particles smaller than 600 nm and a negative correlation with the shear rate for particles larger than 800 nm. Small size particles showed high binding selectivity in the stenosis region for the normal and shear-activated wall, whereas large particles showed high binding selectivity in the low and oscillatory zone for the shear-activated wall.
authors.affiliation: Department of Mechanical Engineering, Myongji University, 38-2, Nam-dong, Yongin, Kyunggi-do 449-728, South Korea.
authors.forename: Woowon
authors.initials: W
authors.lastname: Jeong
authors.forename: Moon June
authors.initials: MJ
authors.lastname: Kim
authors.forename: Kyehan
authors.initials: K
authors.lastname: Rhee
mesh_terms: D000268:Adhesiveness; D003251:Constriction, Pathologic / Q000378:metabolism / Q000503:physiopathology; D018056:Hemorheology; D006801:Humans; D007700:Kinetics; D008955:Models, Cardiovascular; D053758:Nanoparticles / Q000737:chemistry*; D010316:Particle Size; D014652:Vascular Diseases / Q000378:metabolism / Q000503:physiopathology*