Heterogeneous partition of cellular blood-borne nanoparticles through microvascular bifurcations
Zixiang L. Liu, Jonathan R. Clausen, Justin L. Wagner, Kimberly S., Butler, Dan S. Bolintineanu, Jeremy B. Lechman, Rekha R. Rao, and Cyrus K., Aidun

TL;DR
This study introduces a multiscale computational framework to simulate nanoparticle partitioning in blood flow through microvascular bifurcations, revealing heterogeneity influenced by red blood cell dynamics and flow ratios.
Contribution
The paper develops a novel multiscale simulation method incorporating particulate boundary conditions to analyze nanoparticle distribution in bifurcating blood flow.
Findings
Nanoparticles exhibit a Zweifach-Fung-like heterogeneous partition.
NP distribution is influenced by red blood cell entrainment and flow ratios.
Homogeneity in NP partitioning occurs under extreme flow conditions due to plasma skimming.
Abstract
Blood flowing through microvascular bifurcations has been an active research topic for many decades, while the partitioning pattern of nanoscale solutes in the blood remains relatively unexplored. Here, we demonstrate a multiscale computational framework for direct numerical simulation of the nanoparticle (NP) partitioning through physiologically-relevant vascular bifurcations in the presence of red blood cells (RBCs). The computational framework is established by embedding a newly-developed particulate suspension inflow/outflow boundary condition into a multiscale blood flow solver. The computational framework is verified by recovering a tubular blood flow without a bifurcation and validated against the experimental measurement of an intravital bifurcation flow. The classic Zweifach-Fung (ZF) effect is shown to be well captured by the method. Moreover, we observe that NPs exhibit a…
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