Size and shape effects on diffusion and absorption of colloidal particles near a partially absorbing sphere: Implications for uptake of nanoparticles in animal cells

Wendong Shi, Jizeng Wang, Xiaojun Fan, and Huajian Gao
Phys. Rev. E 78, 061914 – Published 16 December 2008

Abstract

A mechanics model describing how a cell membrane with diffusive mobile receptors wraps around a ligand-coated cylindrical or spherical particle has been recently developed to model the role of particle size in receptor-mediated endocytosis. The results show that particles in the size range of tens to hundreds of nanometers can enter cells even in the absence of clathrin or caveolin coats. Here we report further progress on modeling the effects of size and shape in diffusion, interaction, and absorption of finite-sized colloidal particles near a partially absorbing sphere. Our analysis indicates that, from the diffusion and interaction point of view, there exists an optimal hydrodynamic size of particles, typically in the nanometer regime, for the maximum rate of particle absorption. Such optimal size arises as a result of balance between the diffusion constant of the particles and the interaction energy between the particles and the absorbing sphere relative to the thermal energy. Particles with a smaller hydrodynamic radius have larger diffusion constant but weaker interaction with the sphere while larger particles have smaller diffusion constant but stronger interaction with the sphere. Since the hydrodynamic radius is also determined by the particle shape, an optimal hydrodynamic radius implies an optimal size as well as an optimal aspect ratio for a nonspherical particle. These results show broad agreement with experimental observations and may have general implications on interaction between nanoparticles and animal cells.

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  • Received 9 April 2008

DOI:https://doi.org/10.1103/PhysRevE.78.061914

©2008 American Physical Society

Authors & Affiliations

Wendong Shi, Jizeng Wang, Xiaojun Fan, and Huajian Gao*

  • Department of Engineering, Brown University, Providence, Rhode Island 02912, USA

  • *huajiaṉgao@brown.edu

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Issue

Vol. 78, Iss. 6 — December 2008

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