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Nanoparticle transport in cellular blood flow

Journal Article · · Computers and Fluids
In this paper, the biotransport of the intravascular nanoparticle (NP) is influenced by both the complex cellular flow environment and the NP characteristics. Being able to computationally simulate such intricate transport phenomenon with high efficiency is of far-reaching significance to the development of nanotherapeutics, yet challenging due to large length-scale discrepancies between NP and red blood cell (RBC) as well as the complexity of nanoscale particle dynamics. Recently, a lattice-Boltzmann (LB) based multiscale simulation method has been developed to capture both NP–scale and cell–level transport phenomenon at high efficiency. The basic components of this method include the LB treatment for the fluid phase, a spectrin-link method for RBCs, and a Langevin dynamics (LD) approach to capturing the motion of the suspended NPs. Comprehensive two-way coupling schemes are established to capture accurate interactions between each component. The accuracy and robustness of the LB–LD coupling method are demonstrated through the relaxation of a single NP with initial momentum and self-diffusion of NPs. This approach is then applied to study the migration of NPs in micro-vessels under physiological conditions. It is shown that Brownian motion is most significant for the NP distribution in 20 μm venules. For 1 ~ 100 nm particles, the Brownian diffusion is the dominant radial diffusive mechanism compared to the RBC-enhanced diffusion. For ~500 nm particles, the Brownian diffusion and RBC-enhanced diffusion are comparable drivers for the particle radial diffusion process.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1465185
Alternate ID(s):
OSTI ID: 1509516
Report Number(s):
SAND--2018-7974J; 666000
Journal Information:
Computers and Fluids, Journal Name: Computers and Fluids Journal Issue: C Vol. 172; ISSN 0045-7930
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (8)

Spontaneous shrinking of soft nanoparticles boosts their diffusion in confined media journal September 2019
Occlusive thrombosis in arteries journal December 2019
Multiscale method based on coupled lattice‐Boltzmann and Langevin‐dynamics for direct simulation of nanoscale particle/polymer suspensions in complex flows journal July 2019
Nanoparticle diffusion in sheared cellular blood flow journal May 2019
Inhibition of high shear arterial thrombosis by charged nanoparticles journal July 2018
A unified analysis of nano-to-microscale particle dispersion in tubular blood flow journal August 2019
Axisymmetric compact finite-difference lattice Boltzmann method for blood flow simulations journal October 2019
Effects of artery size on the hydrodynamic diffusivity of red cells and other contained particles journal November 2019

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