Junction matters in hydraulic circuit bio-design of microfluidics

Junction matters in hydraulic circuit bio-design of microfluidics
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DOI:
10.1007/s42242-022-00215-1
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发表时间:
2022-11
影响因子:
7.9
通讯作者:
Yao Lin;Dongliang He;Zerui Wu;Yurou Yao;Zhanhao Zhang;Yuheng Qiu;Shangyu Wei;G. Shang;Xingyue Lei;Ping Wu;Weiping Ding;Liqun He
Yao Lin;Dongliang He;Zerui Wu;Yurou Yao;Zhanhao Zhang;Yuheng Qiu;Shangyu Wei;G. Shang;Xingyue Lei;Ping Wu;Weiping Ding;Liqun He
中科院分区:
工程技术2区
文献类型:
--
作者:
Yao Lin;Dongliang He;Zerui Wu;Yurou Yao;Zhanhao Zhang;Yuheng Qiu;Shangyu Wei;G. Shang;Xingyue Lei;Ping Wu;Weiping Ding;Liqun He

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微流体通道是微米级的;因此,它们的流体流动是层流,导致压降对通道长度上的流速的线性依赖性。压降与流速的比率(称为阻力)取决于通道尺寸和动态粘度。通常,微流控芯片在设计上类似于电路,但设计被调整以优化通道尺寸。然而,尽管在电路的节点处的电压损失是可忽略的,但是在微流体芯片的节点处的液压压降的幅度与直通道中的压降相当。在这里,我们通过实验证明,必须充分考虑节点处的压力降,以便准确地设计一个精确的微流控芯片。在此过程中,我们数值计算了水力节点的压力损失,并列出了它们的阻力范围内的流量作为关注。我们采用机器学习来拟合复杂连接的计算结果。最后,我们获得了一个常见连接点的节点电阻库,并使用它们设计了三个已建立的芯片,用于单细胞分析和溶质的精确分配(在梯度和平均浓度微流体网络中)。通过从最后两个微流控网络产生浓度的盐酸阿霉素来刺激内皮细胞,并且我们分析了内皮细胞的响应。结果表明,在设计计算中考虑结电阻的影响,使实验结果更接近设计值。因此,这种方法可能有助于为器官芯片的精确设计提供一个平台。图形摘要
Microfluidic channels are at micrometer scales; thus, their fluid flows are laminar, resulting in the linear dependence of pressure drop on flow rate in the length of the channel. The ratio of the pressure drop to flow rate, referred to as resistance, depends on channel size and dynamic viscosity. Usually, a microfluidic chip is analogous to an electric circuit in design, but the design is adjusted to optimize channel size. However, whereas voltage loss is negligible at the nodes of an electric circuit, hydraulic pressure drops at the nodes of microfluidic chips by a magnitude are comparable to the pressure drops in the straight channels. Here, we prove by experiment that one must fully consider the pressure drops at nodes so as to accurately design a precise microfluidic chip. In the process, we numerically calculated the pressure drops at hydraulic nodes and list their resistances in the range of flows as concerned. We resorted to machine learning to fit the calculated results for complex junctions. Finally, we obtained a library of node resistances for common junctions and used them to design three established chips that work for single-cell analysis and for precision allocation of solutes (in gradient and averaging concentration microfluidic networks). Endothelial cells were stimulated by generating concentrations of adriamycin hydrochloride from the last two microfluidic networks, and we analyzed the response of endothelial cells. The results indicate that consideration of junction resistances in design calculation brings experimental results closer to the design values than usual. This approach may therefore contribute to providing a platform for the precise design of organ chips.Graphic abstract