We investigated the algorithm analysis of the bubble generation in a microfluidic device to study the effect of the surface tension and the flow rate on the microbubble size. For the analysis of the surface tension, five different solutions were used: 3.5% brine, mineral oil, 1% polyethylene glycol (PEG) 400, 1% tween 80, and 1% triton X-100. The various flow rates were also employed: 5∼15 µL/min for the liquid and 100∼200 mL/min for the gas phase. The size of the bubble was measured via the algorithm analysis and the bubble defect was also detected by c chart. We observed that the microbubble size was affected by the flow rates of solution and the gas. Hence, we developed an equation to estimate the size through the flow rate ratio between the solution and gas phase, showing that the microbubble size could be controlled by the liquid properties or the flow rates. Therefore, this algorithm-based microfluidic device could be a powerful tool for generating gas micro-bubbles in a controlled manner.

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微流控装置中产生气泡的算法分析

我们研究了微流体装置中气泡产生的算法分析，以研究表面张力和流速对微气泡尺寸的影响。为了分析表面张力，使用了五种不同的溶液：3.5％盐水，矿物油，1％聚乙二醇（PEG）400、1％吐温80和1％triton X-100。还使用了各种流速：液体流速为5〜15 µL / min，气相流速为100〜200 mL / min。气泡的大小通过算法分析和气泡图也通过c图检测。我们观察到微气泡的大小受溶液和气体流速的影响。因此，我们开发了一个方程来通过溶液和气相之间的流速比估算尺寸，表明微气泡的尺寸可以由液体性质或流速控制。因此，这种基于算法的微流体装置可以成为以受控方式产生气体微气泡的强大工具。