Mossige Endre Joachim, Jensen Atle
Department of Mathematics, University of Oslo (UiO), 0851 Oslo, Norway.
Micromachines (Basel). 2020 Sep 29;11(10):904. doi: 10.3390/mi11100904.
The ability to separate and filter out microscopic objects lies at the core of many biomedical applications. However, a persistent problem is clogging, as biomaterials stick to the internal chip surface and limit device efficiency and liability. Here, we review an alternative technique that could solve these clogging issues. By leveraging tunable flow fields and particle inertia around special trilobite-shaped filtration units, we perform filtration of plastic beads by size and we demonstrate sorting of live cells. The separation and filtration are performed completely without signs of clogging. However, a clog-free operation relies on a controlled flow configuration to steer the particles and cells away from the filter structures. In this paper, we describe the tunable flow system for such an operation and we describe an optical setup enabling hydrodynamical interactions between particles and cells with the flow fields and direct interactions with the filter structures to be characterized. The optical setup is capable of measuring particle and flow velocities (by Particle Tracking Velocimetry (PTV), Micro Particle Image Velocimetry (μPIV), and streakline visualization) in meters per second necessary to avoid clogging. However, accurate measurements rely on strict calibration and validation procedures to be followed, and we devote a substantial portion of our paper to laying out such procedures. A comparison between μPIV data and a known flow profile is particularly valuable for assessing measurement accuracy, and this important validation has not been previously published by us. The detail level in our description of the flow configuration and optical system is sufficient to replicate the experiments. In the last part of the paper, we review an assessment of the device performance when handling rigid spheres and live cells. We deconvolute the influences of cell shape from effects of size and find that the shape has only a weak influence on device performance.
分离和过滤微观物体的能力是许多生物医学应用的核心。然而,一个长期存在的问题是堵塞,因为生物材料会粘附在芯片内部表面,从而限制设备的效率和可靠性。在这里,我们回顾一种可以解决这些堵塞问题的替代技术。通过利用特殊三叶虫形状过滤单元周围的可调流场和颗粒惯性,我们按尺寸对塑料珠进行过滤,并展示了活细胞的分选。分离和过滤过程完全没有堵塞迹象。然而,无堵塞操作依赖于可控的流配置,以引导颗粒和细胞远离过滤结构。在本文中,我们描述了用于这种操作的可调流系统,并描述了一种光学装置,该装置能够表征颗粒和细胞与流场之间的流体动力学相互作用以及与过滤结构的直接相互作用。该光学装置能够测量每秒米级的颗粒和流速(通过粒子跟踪测速法(PTV)、微观粒子图像测速法(μPIV)和流线可视化),以避免堵塞。然而,准确的测量依赖于严格的校准和验证程序,我们在论文中用了很大篇幅阐述这些程序。将μPIV数据与已知流型进行比较对于评估测量准确性特别有价值,而这一重要验证此前我们尚未发表。我们对流动配置和光学系统的描述细节程度足以重复实验。在论文的最后一部分,我们回顾了处理刚性球体和活细胞时对设备性能的评估。我们从尺寸效应中解卷积出细胞形状的影响,发现形状对设备性能的影响很小。