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PMID: 23729843 Published · ppublish English Journal Article

A CONTINUUM HARD-SPHERE MODEL OF PROTEIN ADSORPTION.

Journal of computational physics ·Vol. 244 ·2013-07-01 ·页码 212-222

Finch C, Clarke T, Hickman JJ

Abstract

Protein adsorption plays a significant role in biological phenomena such as cell-surface interactions and the coagulation of blood. Two-dimensional random sequential adsorption (RSA) models are widely used to model the adsorption of proteins on solid surfaces. Continuum equations have been developed so that the results of RSA simulations can be used to predict the kinetics of adsorption. Recently, Brownian dynamics simulations have become popular for modeling protein adsorption. In this work a continuum model was developed to allow the results from a Brownian dynamics simulation to be used as the boundary condition in a computational fluid dynamics (CFD) simulation. Brownian dynamics simulations were used to model the diffusive transport of hard-sphere particles in a liquid and the adsorption of the particles onto a solid surface. The configuration of the adsorbed particles was analyzed to quantify the chemical potential near the surface, which was found to be a function of the distance from the surface and the fractional surface coverage. The near-surface chemical potential was used to derive a continuum model of adsorption that incorporates the results from the Brownian dynamics simulations. The equations of the continuum model were discretized and coupled to a CFD simulation of diffusive transport to the surface. The kinetics of adsorption predicted by the continuum model closely matched the results from the Brownian dynamics simulation. This new model allows the results from mesoscale simulations to be incorporated into micro- or macro-scale CFD transport simulations of protein adsorption in practical devices.

Keywords
Brownian dynamics Protein adsorption biomaterials computational fluid dynamics continuum random sequential adsorption
作者与单位
共 3 位作者,点击展开单位 / ORCID
Finch Craig
NanoScience Technology Center, University of Central Florida, 12424 Research Parkway, Orlando FL 32828, USA.
Clarke Thomas
Hickman James J
Article Info
Journal
Journal of computational physics
Abbr.
J Comput Phys
ISSN
0021-9991
Published
2013-07-01
页码
212-222
Language
English
Country/Region
United States
NLM ID
9883524
基金资助
NIBIB NIH HHS · R01 EB005459 · United States
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