Nanoparticle Transport in Cellular Blood Flow
Zixiang Liu, Yuanzheng Zhu, Rekha R. Rao, Jonathan R. Clausen, Cyrus, K. Aidun

TL;DR
This paper introduces a multiscale computational method combining lattice-Boltzmann, spectrin-link, and Langevin dynamics to simulate nanoparticle transport in blood flow, capturing complex interactions efficiently.
Contribution
The paper presents a novel high-efficiency multiscale simulation approach for nanoparticle transport in blood, integrating multiple modeling techniques for detailed interaction analysis.
Findings
Brownian motion dominates NP distribution in capillaries for 1-100 nm particles.
RBC-enhanced diffusion becomes comparable to Brownian diffusion for ~500 nm particles.
The method accurately captures NP dynamics and interactions in cellular blood flow.
Abstract
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 NP dynamics. Recently, a lattice-Boltzmann (LB) based multiscale simulation method has been developed to capture both NP scale and cellular level transport phenomenon at high computational 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…
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