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SIMPLE analytical model for smart microfluidic chip design

机译:智能微流体芯片设计简易分析模型

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Precise control of the flow dynamics in a microfluidic device is of great importance for the integration of bioassays on-chip. Recently, the Self-powered Imbibing Microfluidic Pump by Liquid Encapsulation (SIMPLE) was developed in our group and integrated with biological applications. The system functions based on capillary imbibition of a working liquid (WL) into a porous material (PM), which in turn pulls a sample liquid (SL) through the connected microfluidic channel network. Analytical models describing the pumping dynamics of paper-based and channel-based systems have been presented, but no suitable analytical models have been reported for hybrid systems such as SIMPLE. Moreover, the available models were mostly limited to only describing the pumping process (i.e. flow rate) for given design parameters (i.e. paper shape, channels geometry), which still resulted in tedious trial-and-error process to optimize the chip design to achieve the desired flow rate. In this work, we developed a smart designing tool for SIMPLE-based chips that provides the design parameters necessary to obtain a targeted flow rate. An analytical model for the SIMPLE was first derived and validated, confirming its 3 main hypotheses: i) the sample flow rate is dependent on the porous material geometry but independent from the ii) porous material volume and iii) channel geometry. All experimental results were in good agreement with this model. Finally, we used our model as a prediction tool providing precise design parameters to avoid the time-consuming trial-and-error approach needed to achieve a specific flow rate. In particular, several chips were fabricated according to the model inputs and the sample liquid flow rates measured (1.5 +/- 0.3, 5.3 +/- 1.5, 15.2 +/- 2.7 mu L/min) were matching the targeted ones (1.5, 5, 15 mu L/min). The analytical model developed in this work was proven to be a useful designing tool for fast and efficient optimization of SIMPLE-based chips in order to addr
机译:微流体装置中流动动力学的精确控制对于芯片上的生物测定的集成具有重要意义。最近,通过液体包封(简单)的自我驱动的微流体泵在我们的组中开发并与生物应用相结合。该系统基于毛细管利用工作液(WL)的毛细管性质,进入多孔材料(PM),其又通过连接的微流体通道网络拉动样品液(SL)。已经介绍了描述基于纸张和基于频道的系统的泵送动力学的分析模型,但没有针对简单的混合系统报告合适的分析模型。此外,可用型号主要限于仅描述给定设计参数(即纸张形状,通道几何)的泵处理(即流量),这仍然导致繁琐的试验和错误过程来优化芯片设计实现所需的流速。在这项工作中,我们为简单的芯片开发了一个智能设计工具,提供了获得目标流量所需的设计参数。首次推导和验证简单的分析模型,确认其3个主要假设:i)样品流速取决于多孔材料几何形状但独立于II)多孔材料体积和III)通道几何形状。所有实验结果都与此模型吻合良好。最后,我们使用我们的模型作为预测工具,提供精确的设计参数,以避免实现特定流速所需的耗时的试错方法。特别地,根据模型输入制造了几种碎片,测量的样品液流量(1.5 +/- 0.3,5.3 +/- 1.5,15.2 +/-2.7μl/ min)匹配靶向液体(1.5, 5,15 mu l / min)。这项工作中开发的分析模型被证明是一种有用的设计工具,可用于快速高效地优化基于简单的芯片,以便Addr

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