Compound Droplet Modeling for Circulating Tumor Cell Microfiltration With Adaptive Meshing Refinement
Compound Droplet Modeling for Circulating Tumor Cell Microfiltration With Adaptive Meshing Refinement
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DOI：
10.1115/1.4048134
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发表时间：
2020-11
影响因子：
2
通讯作者：
M. Hashem;Arian Aghilinejad;Xiaolin Chen;H. Tan
中科院分区：
文献类型：
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作者：
M. Hashem;Arian Aghilinejad;Xiaolin Chen;H. Tan
微流体技术的进步开创了设计早期癌症检测诊断设备的新可能性。基于变形的微滤由于其简单和低成本而越来越受到人们的关注，用于从外周血中捕获循环肿瘤细胞（CTC）。对CTC通过微过滤器的基本了解至关重要，因为它有助于优化设计以实现高分离纯度。先前的研究将CTC建模为用于基于变形的CTC分离的简单液滴。在这里，我们使用一个复合液滴模型来研究流动动力学更现实。本文采用自适应网格细化（AMR）方法，使用开放源代码gerris，对液滴动力学和接触角模型进行修改。通过与ansysfluent和现有理论计算结果的比较，验证了所开发程序的有效性.各种参数的影响，如核质比（N/C），操作流速，和细胞粘度进行了研究。结果表明，当液核尺寸小于过滤通道尺寸时，复合液滴表现为均匀液滴。然而，当核大于通道尺寸时，压力分布受核的影响很大。此外，通道中的压降与操作流量之间存在线性相关性。同样，临界通过压力随着细胞粘度的增加而线性增加。我们的研究表明，为了准确预测细胞在微通道内的运输行为，考虑细胞核及其可能的变形的影响是非常重要的。
Advances in microfluidics inaugurate a new possibility of designing diagnostic devices for early cancer detection. There is a growing interest in deformation-based microfiltration for capturing circulating tumor cells (CTCs) from peripheral blood due to its simplicity and low cost. Fundamental understanding of CTC passing through a microfilter is critical, as it helps optimize the design for achieving high isolation purity. Previous research has modeled CTC as a simple droplet for deformation-based CTC separation. Here, we use a compound droplet model to study the flow dynamics more realistically. An adaptive-mesh-refinement (AMR) method is used here, using the open-source code, gerris, after modification for droplet dynamics and contact angle model. The developed code is validated with results compared with ansysfluent and available theory. The effects of various parameters such as the nuclear-to-cytoplasmic (N/C) ratio, operating flow rate, and cell viscosity are investigated. It is found that the compound droplet behaves like a homogeneous droplet when the nucleus size is smaller than the filtering channel. However, the pressure profile is greatly influenced by the nucleus when it is larger than the channel size. In addition, there is a linear correlation between the pressure drop in the channel and the operating flow rate. Similarly, critical passing pressure increases linearly with the increase of the cell viscosity. Our study suggests that for having an accurate prediction of cell transport behavior inside the microchannel, it is of great importance to consider the effects of the nucleus and its possible deformation.