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一种用于神经元精确定位的新型微流控设备设计。

A new microfluidic device design for a defined positioning of neurons .

作者信息

Walczuch Katharina, Renze Peter, Ingensiep Claudia, Degen Rudolf, Bui Thanh Phong, Schnakenberg Uwe, Bräunig Peter, Bui-Göbbels Katrin

机构信息

Institute of Biology II, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.

Institute of Energy and Drive Technologies, Hochschule Ulm, Eberhard-Finckh-Str. 11, 89075 Ulm, Germany.

出版信息

Biomicrofluidics. 2017 Jul 12;11(4):044103. doi: 10.1063/1.4993556. eCollection 2017 Jul.

Abstract

A new triangle-shaped microfluidic channel system for defined cell trapping is presented. Different variants of the same basic geometry were produced to reveal the best fitting parameter combinations regarding efficiency and sensitivity. Variants with differences in the trap gap width and the inter-trap distance were analyzed in detail by Computational Fluid Dynamics simulations and in experiments with artificial beads of different sizes (30, 60, 80 m). Simulation analysis of flow dynamics and pressure profiles revealed strongly reduced pressure conditions and balanced flow rates inside the microfluidic channels compared to commonly used systems with meandering channels. Quantitative experiments with beads showed very good trapping results in all channel types with slight variations due to geometrical differences. Highest efficiency in terms of fast trap filling and low particle loss was shown with channel types having a larger trap gap width (20 m) and/or a larger inter-trap distance (400 m). Here, experimental success was achieved in almost 85% to 100% of all cases. Particle loss appeared significantly more often with large beads than with small beads. A significantly reduced trapping efficiency of about 50% was determined by using narrow trap gaps and a small inter-trap distance in combination with large 80 m beads. The combination of the same parameters with small and medium beads led to an only slight decrease in trapping efficiency (80%). All channel types were tested qualitatively with invertebrate neurons from the pond snail . The systems were appropriate to trap those sensitive neurons and to keep their viability in the trapping area at the same time.

摘要

本文介绍了一种用于特定细胞捕获的新型三角形微流体通道系统。制作了相同基本几何形状的不同变体,以揭示关于效率和灵敏度的最佳拟合参数组合。通过计算流体动力学模拟以及使用不同尺寸(30、60、80微米)的人造珠子进行实验,详细分析了捕集间隙宽度和捕集器间距不同的变体。与常用的蜿蜒通道系统相比,流动动力学和压力分布的模拟分析表明,微流体通道内的压力条件大幅降低,流速更加平衡。珠子的定量实验表明,在所有通道类型中都能获得非常好的捕获结果,只是由于几何差异略有变化。在捕集间隙宽度较大(20微米)和/或捕集器间距较大(400微米)的通道类型中,在快速捕集填充和低颗粒损失方面表现出最高效率。在此,几乎85%至100%的所有情况都取得了实验成功。大珠子比小珠子更常出现颗粒损失。使用狭窄的捕集间隙和较小的捕集器间距并结合80微米的大珠子,捕集效率显著降低约50%。相同参数与中小珠子的组合导致捕集效率仅略有下降(80%)。使用池塘蜗牛的无脊椎动物神经元对所有通道类型进行了定性测试。这些系统适合捕获那些敏感神经元,并同时在捕获区域保持它们的活力。

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