Young Katherine M, Shankles Peter G, Chen Theresa, Ahkee Kelly, Bules Sydney, Sulchek Todd
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, Georgia 30332-0535, USA.
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, Georgia 30332-0405, USA.
Biomicrofluidics. 2022 May 16;16(3):034104. doi: 10.1063/5.0080510. eCollection 2022 May.
Microfluidics can bring unique functionalities to cell processing, but the small channel dimensions often limit the throughput for cell processing that prevents scaling necessary for key applications. While processing throughput can be improved by increasing cell concentration or flow rate, an excessive number or velocity of cells can result in device failure. Designing parallel channels can linearly increase the throughput by channel number, but for microfluidic devices with multiple inlets and outlets, the design of the channel architecture with parallel channels can result in intractable numbers of inlets and outlets. We demonstrate an approach to use multiple parallel channels for complex microfluidic designs that uses a second manifold layer to connect three inlets and five outlets per channel in a manner that balances flow properties through each channel. The flow balancing in the individual microfluidic channels was accomplished through a combination of analytical and finite element analysis modeling. Volumetric flow and cell flow velocity were measured in each multiplexed channel to validate these models. We demonstrate eight-channel operation of a label-free mechanical separation device that retains the accuracy of a single channel separation. Using the parallelized device and a model biomechanical cell system for sorting of cells based on their viability, we processed over 16 × 10 cells total over three replicates at a rate of 5.3 × 10 cells per hour. Thus, parallelization of complex microfluidics with a flow-balanced manifold system can enable higher throughput processing with the same number of inlet and outlet channels to control.
微流控技术可为细胞处理带来独特功能,但通道尺寸小往往限制了细胞处理的通量,这阻碍了关键应用所需的规模扩大。虽然可通过提高细胞浓度或流速来提高处理通量,但细胞数量过多或速度过快可能导致设备故障。设计平行通道可使通量随通道数量线性增加,但对于具有多个入口和出口的微流控设备,采用平行通道的通道架构设计可能会导致入口和出口数量多得难以处理。我们展示了一种用于复杂微流控设计的方法,该方法使用多个平行通道,并通过第二个歧管层以平衡每个通道流动特性的方式连接每个通道的三个入口和五个出口。通过解析建模和有限元分析建模相结合的方式实现了各个微流控通道内的流动平衡。在每个复用通道中测量了体积流量和细胞流速,以验证这些模型。我们展示了一种无标记机械分离设备的八通道操作,该操作保持了单通道分离的准确性。使用该并行化设备和基于细胞活力对细胞进行分选的模型生物力学细胞系统,我们在三次重复实验中以每小时5.3×10个细胞的速率总共处理了超过16×10个细胞。因此,采用流量平衡歧管系统的复杂微流控技术并行化能够在控制相同数量的入口和出口通道的情况下实现更高通量的处理。