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在仿生血管网络的连续分叉中,出现了无细胞层的不对称和偏倚的血细胞比容分配。

Emergent cell-free layer asymmetry and biased haematocrit partition in a biomimetic vascular network of successive bifurcations.

机构信息

School of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, Edinburgh EH9 3FB, UK.

出版信息

Soft Matter. 2021 Apr 7;17(13):3619-3633. doi: 10.1039/d0sm01845g. Epub 2021 Jan 18.

DOI:10.1039/d0sm01845g
PMID:33459318
Abstract

Blood is a vital soft matter, and its normal circulation in the human body relies on the distribution of red blood cells (RBCs) at successive bifurcations. Understanding how RBCs are partitioned at bifurcations is key for the optimisation of microfluidic devices as well as for devising novel strategies for diagnosis and treatment of blood-related diseases. We report the dynamics of RBC suspensions flowing through a biomimetic vascular network incorporating three generations of microchannels and two classical types of bifurcations at the arteriole level. Our microfluidic experiments with dilute and semidilute RBC suspensions demonstrate the emergence of excessive heterogeneity of RBC concentration in downstream generations upon altering the network's outflow rates. Through parallel simulations using the immersed-boundary-lattice-Boltzmann method, we reveal that the heterogeneity is attributed to upstream perturbations in the cell-free layer (CFL) and lack of its recovery between consecutive bifurcations owing to suppressed hydrodynamic lift under reduced flow conditions. In the dilute/semidilute regime, this perturbation dominates over the effect of local fractional flow at the bifurcation and can lead to inherently unfavourable child branches that are deprived of RBCs even for equal flow split. Our work highlights the importance of CFL asymmetry cascading down a vascular network, which leads to biased phase separation that deviates from established empirical predictions.

摘要

血液是一种重要的软物质,其在人体中的正常循环依赖于红细胞(RBCs)在连续分叉处的分布。了解 RBC 在分叉处是如何分配的,对于优化微流控设备以及设计用于诊断和治疗与血液相关疾病的新策略至关重要。我们报告了通过包含三代微通道和两种经典类型的在小动脉水平的分叉的仿生血管网络流动的 RBC 悬浮液的动力学。我们在稀相和半稀相 RBC 悬浮液中的微流控实验表明,改变网络的流出率会导致下游代中 RBC 浓度出现过度异质性。通过使用浸入边界格子玻尔兹曼方法进行的并行模拟,我们揭示了这种异质性归因于无细胞层(CFL)中的上游扰动,并且由于在降低的流动条件下抑制了流体动力升力,因此在连续分叉之间缺乏 CFL 的恢复。在稀相/半稀相范围内,这种扰动超过了分支处局部分数流动的影响,并且即使对于相等的流量分配,也可能导致固有的不利的子分支缺乏 RBC。我们的工作强调了 CFL 不对称性沿着血管网络级联的重要性,这导致了与既定经验预测偏差的偏相分离。

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