Flexible Concentration Gradient Droplet Generation via Partitioning–Recombination in a Shear Flow-Driven Multilayer Microfluidic Chip

IF 2.2 3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Symmetry-Basel Pub Date : 2025-05-26 DOI:10.3390/sym17060826
Linkai Yu, Qingyang Feng, Yifan Chen, Yongji Wu, Haizhen Sun, Hao Yang, Lining Sun
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引用次数: 1

Abstract

Concentration gradient generation plays a pivotal role in advancing applications across drug screening, chemical synthesis, and biomolecular studies, yet conventional methods remain constrained by labor-intensive workflows, limited throughput, and inflexible gradient control. This study presents a novel multilayer microfluidic chip leveraging shear flow-driven partitioning–recombination mechanisms to enable the flexible and high-throughput generation of concentration gradient droplets. The chip integrates interactive upper and lower polydimethylsiloxane (PDMS) layers, where sequential fluid distribution and recombination are achieved through circular and radial channels while shear forces from the oil phase induce droplet formation. Numerical simulations validated the dynamic pressure-driven concentration gradient formation, demonstrating linear gradient profiles across multiple outlets under varied flow conditions. The experimental results revealed that the shear flow mode significantly enhances mixing uniformity and droplet generation efficiency compared to continuous flow operations, attributed to intensified interfacial interactions within contraction–expansion serpentine channels. By modulating hydrodynamic parameters such as aqueous- and oil-phase flow rates, this system achieved tunable gradient slopes and droplet sizes, underscoring the intrinsic relationship between flow dynamics and gradient formation. The proposed device eliminates reliance on complex channel networks, offering a compact and scalable platform for parallelized gradient generation. This work provides a robust framework for optimizing microfluidic-based concentration gradient systems, with broad implications for high-throughput screening, combinatorial chemistry, and precision biomolecular assays.
剪切流驱动多层微流控芯片中通过分离-重组产生柔性浓度梯度液滴
浓度梯度生成在药物筛选、化学合成和生物分子研究领域的应用中发挥着关键作用,但传统方法仍然受到劳动密集型工作流程、有限的吞吐量和不灵活的梯度控制的限制。本研究提出了一种新型的多层微流控芯片,利用剪切流驱动的分区-重组机制,实现了浓度梯度液滴的灵活和高通量生成。该芯片集成了相互作用的上下聚二甲基硅氧烷(PDMS)层,其中流体通过圆形和径向通道依次分布和重组,而来自油相的剪切力诱导液滴形成。数值模拟验证了动态压力驱动浓度梯度地层,显示了不同流动条件下多个出口的线性梯度剖面。实验结果表明,与连续流动相比,剪切流动模式显著提高了混合均匀性和液滴生成效率,这主要归因于收缩-膨胀蛇形通道内的界面相互作用增强。通过调节水相和油相流速等流体动力学参数,该系统实现了可调的梯度斜率和液滴大小,强调了流动动力学与梯度形成之间的内在关系。该装置消除了对复杂通道网络的依赖,为并行梯度生成提供了一个紧凑且可扩展的平台。这项工作为优化基于微流控的浓度梯度系统提供了一个强大的框架,对高通量筛选、组合化学和精确生物分子分析具有广泛的意义。
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来源期刊
Symmetry-Basel
Symmetry-Basel MULTIDISCIPLINARY SCIENCES-
CiteScore
5.40
自引率
11.10%
发文量
2276
审稿时长
14.88 days
期刊介绍: Symmetry (ISSN 2073-8994), an international and interdisciplinary scientific journal, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided, so that results can be reproduced.
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