Hashmi Ali, Xu Jie
Mechanical Engineering, Washington State University, Vancouver, WA, USA.
Mechanical Engineering, Washington State University, Vancouver, WA, USA
J Lab Autom. 2014 Oct;19(5):488-91. doi: 10.1177/2211068214540156. Epub 2014 Jun 24.
Methods for quantifying mixing in microfluidics have varied largely in the past, and various indices have been employed to represent the extent of mixing. Mixing between two or more colored liquids is usually quantified using simple mathematical functions operated over a sequence of images. The function, usually termed mixing indices, involves a measure of standard deviation. Here, we first review some mixing indices and then experimentally verify the index most representative of a mixing event. It is observed that the relative mixing index is not affected by the lighting conditions, unlike other known mixing indices. Based on this finding, the use of a relative mixing index is advocated for further use in the lab-on-a-chip community for quantifying mixing events.
在过去，微流控中混合量化的方法差异很大，并且已经采用了各种指标来表示混合程度。两种或更多种有色液体之间的混合通常使用对一系列图像进行操作的简单数学函数来量化。该函数通常称为混合指标，涉及标准差的测量。在这里，我们首先回顾一些混合指标，然后通过实验验证最能代表混合事件的指标。据观察，与其他已知的混合指标不同，相对混合指标不受光照条件的影响。基于这一发现，提倡在芯片实验室领域进一步使用相对混合指标来量化混合事件。
