Gui Lin, Ren Carolyn L
Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. West, Waterloo, Ontario, Canada N2L 3G1.
Langmuir. 2008 Mar 18;24(6):2938-46. doi: 10.1021/la703201p. Epub 2008 Feb 8.
Joule heating is an inevitable phenomenon for microfluidic chips involving electrokinetic pumping, and it becomes a more important issue when chips are made of polymeric materials because of their low thermal conductivities. Therefore, it is very important to develop methods for evaluating Joule heating effects in microfluidic chips in a relatively easy manner. To this end, two analytical models have been established and solved using the Green's function for evaluating Joule heating effects on the temperature distribution in a microfluidic-based PCR chip. The first simplified model focuses on the understanding of Joule heating effects by ignoring the influences of the boundary conditions. The second model aims to consider practical experimental conditions. The analytical solutions to the two models are particularly useful in providing guidance for microfluidic chip design and operation prior to expensive chip fabrication and characterization. To validate the analytical solutions, a 3-D numerical model has also been developed and the simultaneous solution to this model allows the temperature distribution in a microfluidic PCR chip to be obtained, which is used to compare with the analytical results. The developed numerical model has been applied for parametric studies of Joule heating effects on the temperature control of microfluidic chips.
对于涉及电动泵浦的微流控芯片而言，焦耳热是一种不可避免的现象，而当芯片由聚合物材料制成时，由于其低导热率，这一问题变得更为重要。因此，以相对简便的方式开发评估微流控芯片中焦耳热效应的方法非常重要。为此，已经建立了两个分析模型，并使用格林函数求解，以评估焦耳热对基于微流控的聚合酶链式反应（PCR）芯片温度分布的影响。第一个简化模型通过忽略边界条件的影响来着重理解焦耳热效应。第二个模型旨在考虑实际实验条件。这两个模型的解析解对于在进行昂贵的芯片制造和表征之前为微流控芯片设计和操作提供指导尤为有用。为了验证解析解，还开发了一个三维数值模型，该模型的联立求解能够得到微流控PCR芯片中的温度分布，用于与分析结果进行比较。所开发的数值模型已应用于焦耳热对微流控芯片温度控制影响的参数研究。
