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Computational study of particle size effects on selective binding of nanoparticles in arterial stenosis
Woowon Jeong1, Moon June Kim, Kyehan Rhee
1Department of Mechanical Engineering, Myongji University, 38-2, Nam-dong, Yongin, Kyunggi-do 449-728, South Korea.
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.
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