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基于电路的微流体液滴网络设计

Circuit-Based Design of Microfluidic Drop Networks.

作者信息

Rousset Nassim, Lohasz Christian, Boos Julia Alicia, Misun Patrick M, Cardes Fernando, Hierlemann Andreas

机构信息

Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, CH-4058 Basel, Switzerland.

出版信息

Micromachines (Basel). 2022 Jul 16;13(7):1124. doi: 10.3390/mi13071124.

Abstract

Microfluidic-drop networks consist of several stable drops-interconnected through microfluidic channels-in which organ models can be cultured long-term. Drop networks feature a versatile configuration and an air-liquid interface (ALI). This ALI provides ample oxygenation, rapid liquid turnover, passive degassing, and liquid-phase stability through capillary pressure. Mathematical modeling, e.g., by using computational fluid dynamics (CFD), is a powerful tool to design drop-based microfluidic devices and to optimize their operation. Although CFD is the most rigorous technique to model flow, it falls short in terms of computational efficiency. Alternatively, the hydraulic-electric analogy is an efficient "first-pass" method to explore the design and operation parameter space of microfluidic-drop networks. However, there are no direct electric analogs to a drop, due to the nonlinear nature of the capillary pressure of the ALI. Here, we present a circuit-based model of hanging- and standing-drop compartments. We show a phase diagram describing the nonlinearity of the capillary pressure of a hanging drop. This diagram explains how to experimentally ensure drop stability. We present a methodology to find flow rates and pressures within drop networks. Finally, we review several applications, where the method, outlined in this paper, was instrumental in optimizing design and operation.

摘要

微流体液滴网络由几个通过微流体通道相互连接的稳定液滴组成,在这些通道中可以长期培养器官模型。液滴网络具有通用的结构和气液界面(ALI)。这种气液界面通过毛细压力提供充足的氧合、快速的液体周转、被动脱气和液相稳定性。数学建模,例如使用计算流体动力学(CFD),是设计基于液滴的微流体装置并优化其操作的有力工具。尽管CFD是模拟流动最严格的技术,但在计算效率方面存在不足。另外,水力 - 电类比是探索微流体液滴网络设计和操作参数空间的一种有效的“初步”方法。然而,由于气液界面毛细压力的非线性性质,对于液滴没有直接的电类比。在这里,我们提出了一种基于电路的悬滴和立滴隔室模型。我们展示了一个描述悬滴毛细压力非线性的相图。该图解释了如何通过实验确保液滴稳定性。我们提出了一种在液滴网络中找到流速和压力的方法。最后,我们回顾了几个应用案例,其中本文概述的方法在优化设计和操作方面发挥了重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7e5/9315978/9d5f0a15a860/micromachines-13-01124-g002.jpg

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