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Numerical and experimental study of capillary-driven flow of PCR solution in hybrid hydrophobic microfluidic networks

机译:混合疏水微流网络中PCR溶液的毛细管驱动流动的数值和实验研究

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摘要

Capillary-driven microfluidics is essential for development of point-of-care diagnostic micro-devices. Polymerase chain reaction (PCR)-based micro-devices are widely developed and used in such point-of-care settings. It is imperative to characterize the fluid parameters of PCR solution for designing efficient capillary-driven microfluidic networks. Generally, for numeric modelling, the fluid parameters of PCR solution are approximated to that of water. This procedure leads to inaccurate results, which are discrepant to experimental data. This paper describes mathematical modeling and experimental validation of capillary-driven flow inside Poly-(dimethyl) siloxane (PDMS)-glass hybrid micro-channels. Using experimentally measured PCR fluid parameters, the capillary meniscus displacement in PDMS-glass microfluidic ladder network is simulated using computational fluid dynamic (CFD), and experimentally verified to match with the simulated data.
机译:毛细管驱动的微流体对于即时诊断微设备的开发至关重要。基于聚合酶链反应(PCR)的微型设备得到了广泛的开发,并用于这种即时医疗环境。必须设计PCR溶液的流体参数以设计有效的毛细管驱动微流体网络。通常,对于数值建模,PCR溶液的流体参数近似于水的流体参数。此过程导致结果不准确,与实验数据不符。本文介绍了聚(二甲基)硅氧烷(PDMS)-玻璃混合微通道内部毛细管驱动流动的数学模型和实验验证。使用实验测量的PCR流体参数,使用计算流体动力学(CFD)对PDMS-玻璃微流体梯形网络中的毛细管弯液面位移进行模拟,并进行实验验证以与模拟数据匹配。

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