Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Department of Bioengineering, Rice University, Houston, TX 77030, USA.
Lab Chip. 2022 Jul 12;22(14):2741-2752. doi: 10.1039/d2lc00297c.
Paper-fluidic devices are a popular platform for point-of-care diagnostics due to their low cost, ease of use, and equipment-free detection of target molecules. They are limited, however, by their lack of sensitivity and inability to incorporate more complex processes, such as nucleic acid amplification or enzymatic signal enhancement. To address these limitations, various valves have previously been implemented in paper-fluidic devices to control fluid obstruction and release. However, incorporation of valves into new devices is a highly iterative, time-intensive process due to limited experimental data describing the microscale flow that drives the biophysical reactions in the assay. In this paper, we tested and modeled different geometries of thermally actuated valves to investigate how they can be more easily implemented in an LFIA with precise control of actuation time, flow rate, and flow pattern. We demonstrate that bulk flow measurements alone cannot estimate the highly variable microscale properties and effects on LFIA signal development. To further quantify the microfluidic properties of paper-fluidic devices, micro-particle image velocimetry was used to quantify fluorescent nanoparticle flow through the membranes and demonstrated divergent properties from bulk flow that may explain additional variability in LFIA signal generation. Altogether, we demonstrate that a more robust characterization of paper-fluidic devices can permit fine-tuning of parameters for precise automation of multi-step assays and inform analytical models for more efficient design.
纸基流体器件由于其低成本、易使用以及无需设备即可检测目标分子的特点,成为了即时诊断的热门平台。然而,它们的灵敏度有限,并且无法整合更复杂的过程,如核酸扩增或酶促信号增强。为了解决这些限制,先前已经在纸基流体器件中实现了各种阀,以控制流体的阻塞和释放。然而,由于缺乏描述驱动分析中生物物理反应的微尺度流动的有限实验数据,将阀整合到新设备中是一个高度迭代、耗时的过程。在本文中,我们测试和模拟了不同几何形状的热驱动阀,以研究如何更轻松地在 LFIA 中实现精确控制的致动时间、流速和流动模式。我们证明,仅通过体积流量测量无法估计对 LFIA 信号发展有高度影响的高度可变的微尺度特性。为了进一步量化纸基流体器件的微流体特性,我们使用微粒子图像测速法来量化通过膜的荧光纳米粒子的流动,并展示了与体积流动不同的发散特性,这可能解释了 LFIA 信号产生中的额外可变性。总之,我们证明了对纸基流体器件进行更稳健的表征,可以允许对多步分析进行精细调整参数,从而实现精确的自动化,并为更有效的设计提供分析模型。