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• W2034690046 abstract "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." @default.
• W2034690046 created "2016-06-24" @default.
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• W2034690046 date "2013-06-01" @default.
• W2034690046 modified "2023-09-23" @default.
• W2034690046 title "Coupled particulate and continuum model for nanoparticle targeted delivery" @default.
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• W2034690046 doi "https://doi.org/10.1016/j.compstruc.2012.12.019" @default.
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