4.7 Article

Coupled particulate and continuum model for nanoparticle targeted delivery

Journal

COMPUTERS & STRUCTURES
Volume 122, Issue -, Pages 128-134

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2012.12.019

Keywords

Adhesion kinetics; Brownian dynamics; Convection-diffusion-reaction model; Particulate-continuum coupled model; Nanoparticle

Funding

  1. National Institute of Health [EB009786]
  2. National Science Foundation [CBET-1113040]
  3. Directorate For Engineering
  4. Div Of Chem, Bioeng, Env, & Transp Sys [1113040] Funding Source: National Science Foundation

Ask authors/readers for more resources

Prediction of nanoparticle (NP) distribution in a vasculature involves transport phenomena at various scales and is crucial for the evaluation of NP delivery efficiency. A combined particulate and continuum model is developed to model NP transport and delivery processes. In the particulate model ligand-receptor binding kinetics is coupled with Brownian dynamics to study NP binding on a microscale. An analytical formula is derived to link molecular level binding parameters to particulate level adhesion and detachment rates. The obtained NP adhesion rates are then coupled with a convection-diffusion-reaction model to study NP transport and delivery at macroscale. The binding results of the continuum model agree well with those from the particulate model. The effects of shear rate, particle size and vascular geometry on NP adhesion are investigated. Attachment rates predicted by the analytical formula also agree reasonably well with the experimental data reported in literature. The developed coupled model that links ligand-receptor binding dynamics to NP adhesion rate along with macroscale transport and delivery processes may serve as a faster evaluation and prediction tool to determine NP distribution in complex vascular networks. (C) 2012 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available