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基于流体动力学过滤的微流控芯片设计中的两相流用于细胞颗粒分选。

Two-phase flow in microfluidic-chip design of hydrodynamic filtration for cell particle sorting.

机构信息

Department of Chemical and Biological Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.

National Agenda Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.

出版信息

Electrophoresis. 2020 Jun;41(10-11):1002-1010. doi: 10.1002/elps.201900394. Epub 2020 Mar 9.

DOI:10.1002/elps.201900394
PMID:32097495
Abstract

As one of the flow-based passive sorting, the hydrodynamic filtration using a microfluidic-chip has shown to effectively separate into different sizes of subpopulations from cell or particle suspensions. Its model framework involving two-phase Newtonian or generalized Newtonian fluid (GNF) was developed, by performing the complete analysis of laminar flow and complicated networks of main and multiple branch channels. To predict rigorously what occurs in flow fields, we estimated pressure drop, velocity profile, and the ratio of the flow fraction at each branch point, in which the analytical model was validated with numerical flow simulations. As a model fluid of the GNF, polysaccharide solution based on Carreau type was examined. The objective parameters aiming practical channel design include the number of the branches and the length of narrow section of each branch for arbitrary conditions. The flow fraction and the number of branches are distinctly affected by the viscosity ratio between feed and side flows. As the side flow becomes more viscous, the flow fraction increases but the number of branches decreases, which enables a compact chip designed with fewer branches being operated under the same throughput. Hence, our rational design analysis indicates the significance of constitutive properties of each stream.

摘要

作为一种基于流动的被动分选方法,基于微流控芯片的流体动力学过滤已被证明可以有效地将细胞或颗粒悬浮液分离成不同大小的亚群。已经开发了涉及两相牛顿或广义牛顿流体 (GNF) 的模型框架,通过对层流和主通道和多个分支通道的复杂网络进行完整的分析。为了严格预测流场中发生的情况,我们估计了压降、速度分布以及每个分支点的流量分数比,其中分析模型通过数值流动模拟进行了验证。以基于 Carreau 类型的多糖溶液作为 GNF 的模型流体进行了检查。旨在进行实际通道设计的目标参数包括分支的数量和每个分支的狭窄部分的长度,用于任意条件。流量分数和分支的数量明显受到进料和侧流之间的粘度比的影响。随着侧流变得更加粘稠,流量分数增加,但分支数量减少,这使得可以在相同吞吐量下设计具有较少分支的更紧凑的芯片。因此,我们的合理设计分析表明了各流的本构性质的重要性。

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