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The margination propensity of ellipsoidal micro/nanoparticles to the endothelium in human blood flow

Paper ID Volume ID Publish Year Pages File Format Full-Text
6322 480 2013 9 PDF Available
Title
The margination propensity of ellipsoidal micro/nanoparticles to the endothelium in human blood flow
Abstract

Particle shape is becoming increasingly recognized as an important parameter for the development of vascular-targeted carriers (VTCs) for disease treatment and diagnosis. However, limited research exists that investigates how particle shape coupled with hemodynamics affects VTC margination (localization and adhesion). In this study, we investigate the effects of particle shape parameters (volume, aspect ratio, axis length) on the margination efficacy of targeted spheres and prolate ellipsoids (rods) to an inflamed endothelial wall from human blood flow in an in vitro model of human vasculature. Overall, particles with 2 μm equivalent spherical diameters (ESD) display higher margination than particles with either 1 μm or 500 nm ESDs. Interestingly, rod-shaped microparticles (1 μm or 2 μm ESD) with high aspect ratios display significantly improved margination compared to spheres of equal volume, particularly under high shear rates and disturbed flow profiles. Nanorods (500 nm ESD), even with high aspect ratio, do not display enhanced margination compared to that of equivalent spheres, which suggests that nanorods, like nanospheres, display minimal margination due to their inability to effectively localize to the vessel wall in the presence of RBCs.

Keywords
Adhesion; Blood flow; Drug delivery; Endothelium; Ellipsoid; Vascular targeting
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The margination propensity of ellipsoidal micro/nanoparticles to the endothelium in human blood flow
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biomaterials - Volume 34, Issue 23, July 2013, Pages 5863–5871
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us