直通道仿生微流控芯片中微塑料颗粒分离特性研究

薛景天; 胡箫; 黎俊杰; 林雍杰; 黄英杰

doi:10.21656/1000-0887.460120

直通道仿生微流控芯片中微塑料颗粒分离特性研究

doi: 10.21656/1000-0887.460120

浙江理工大学全省复杂流动与流体工程装备重点实验室，杭州 310018

(我刊青年编委胡箫来稿)

基金项目:

国家自然科学基金 52476039

国家自然科学基金 12202392

详细信息

作者简介:
薛景天(2004—)，男(E-mail: xjt3293509927@163.com)

通讯作者:
胡箫(1992—)，男，副教授，博士(通信作者. E-mail: huxiao@zstu.edu.cn)

中图分类号: O359
计量
- 文章访问数: 101
- HTML全文浏览量: 23
- PDF下载量: 17
- 被引次数: 0
出版历程
- 收稿日期: 2025-06-10
- 修回日期: 2026-03-02
- 刊出日期: 2026-03-01

Research on the Separation Characteristics of Microplastic Particles in Straight-Channel Bionic Microfluidic Chips

Zhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou 310018, P.R.China

(Contributed by HU Xiao, M.AMM Youth Editorial Board)

摘要

摘要: 为优化一种高效仿生微流控芯片，实现微塑料等微米级颗粒的高效、高通量分离，采用计算流体动力学与离散元耦合(CFD-DEM)的数值方法，对一种仿生微流控过滤结构的内部流场及颗粒分离机理进行了系统研究. 研究总结了4种有趣的颗粒分离机理：低Reynolds数下，颗粒通过惯性聚焦效应进行分离；高Reynolds数下，颗粒依靠瓣膜前缘涡旋的捕获作用和通道末端瓣膜间的回流作用形成3种分离机理. 最后，基于机理分析对芯片进行结构优化，通过增大副通道截面长度，实现了颗粒分离效率7.9%的最高提升，主通道流量占比平均降低7.2%，并使干净滤液产出最高增加9.4%. 这些发现为高效仿生过滤膜的优化设计提供了理论支撑.
- 微流控 /
- 仿生结构 /
- 微塑料 /
- 颗粒过滤 /
- CFD-DEM
Abstract: To optimize an efficient biomimetic microfluidic chip for the high-efficiency, high-throughput separation of micron-sized particles such as microplastics, a computational fluid dynamic (CFD) coupled with discrete element method (DEM) numerical approach was employed to systematically investigate the internal flow field and particle separation mechanisms of a biomimetic microfluidic filtration structure. The 4 interesting particle separation mechanisms were summarized: at low Reynolds numbers, particles are separated through inertial focusing effects; at high Reynolds numbers, particles rely on the capture effect of vortices at the leading edge of the valve and the backflow effect between valves at the channel end to form 3 separation mechanisms. Finally, based on the mechanism analysis, the chip structure was optimized by increasing the cross-sectional length of the auxiliary channel, to achieve a maximum improvement of 7.9% in particle separation efficiency, an average reduction of 7.2% in the main channel flow rate, and a maximum increase of 9.4% in the production of clean filtrate. These findings provide a theoretical support for the optimized design of efficient bionic filtration membranes.
- microfluidics /
- bionic structure /
- microplastic particle /
- particle filtration /
- CFD-DEM
edited-by

edited-by
注释:

1) (我刊青年编委胡箫来稿)

HTML全文

图 1 仿生模型结构

Figure 1. The bionic model structure

下载: 全尺寸图片幻灯片

图 2 数值模拟与试验结果对比

Figure 2. Comparison of numerical simulation and experimental results

下载: 全尺寸图片幻灯片

图 3 不同流量下通道内颗粒分布

注为了解释图中的颜色，读者可以参考本文的电子网页版本，后同.

Figure 3. Particles distributions in the channels under different flow rates

下载: 全尺寸图片幻灯片

图 4 4类典型颗粒的运动轨迹(原模型)

Figure 4. The motion trajectories of 4 types of typical particles (prototype)

下载: 全尺寸图片幻灯片

图 5 通道内流场速度云图及流线图

Figure 5. Velocity contours and streamlines in the channels

下载: 全尺寸图片幻灯片

图 6 不同瓣膜处X方向速度剖面图

Figure 6. Velocity profiles in the X-direction at different lobes

下载: 全尺寸图片幻灯片

图 7 颗粒Y方向受力、速度随X方向位移变化关系

Figure 7. The relationship between the force and velocities in the Y-direction of the particles and the position in the X-direction

下载: 全尺寸图片幻灯片

图 8 增大仿生芯片副通道截面长度对颗粒分离效率和流量分配比的影响

Figure 8. The influences of increasing the cross-sectional length of the secondary channel of the bionic chip on the particle separation efficiency and the flow distribution ratio

下载: 全尺寸图片幻灯片

表 1 仿生过滤器模型网格无关性验证

Table 1. Verification of mesh independence of the bionic filter model

case number of cells flux/(g/min) relative deviation/%

C1 104 325 4.443 0.45

C2 318 350 4.463 0.36

C3 401 274 4.479 0.27

C4 552 224 4.491 0.15

C5 825 020 4.484 -

下载: 导出CSV

参考文献(23)

[1]	ZURI G, KARANASIOU A, LACORTE S. Human biomonitoring of microplastics and health implications: a review[J]. Environmental Research, 2023, 237: 116966. doi: 10.1016/j.envres.2023.116966
[2]	CABA-FLORES M D, MARTÍNEZ-VALENZUELA C, CÁRDENAS-TUEME M, et al. Micro problems with macro consequences: accumulation of persistent organic pollutants and microplastics in human breast milk and in human milk substitutes[J]. Environmental Science and Pollution Research, 2023, 30(42): 95139-95154. doi: 10.1007/s11356-023-29182-5
[3]	MA J, WU Y, LIU Y, et al. Cell-sorting centrifugal microfluidic chip with a flow rectifier[J]. Lab on a Chip, 2021, 21(11): 2129-2141. doi: 10.1039/D1LC00217A
[4]	XIANG N, LI Q, NI Z. Combining inertial microfluidics with cross-flow filtration for high-fold and high-throughput passive volume reduction[J]. Analytical Chemistry, 2020, 92(9): 6770-6776. doi: 10.1021/acs.analchem.0c01006
[5]	AHMED H, RAMESAN S, LEE L, et al. On-chip generation of vortical flows for microfluidic centrifugation[J]. Small, 2020, 16(9): 1903605. doi: 10.1002/smll.201903605
[6]	DI CARLO D, IRIMIA D, TOMPKINS R G, et al. Continuous inertial focusing, ordering, and separation of particles in microchannels[J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(48): 18892-18897.
[7]	KUMAR T, HARISH A V, ETCHEVERRY S, et al. Lab-in-a-fiber-based integrated particle separation and counting[J]. Lab on a Chip, 2023, 23(9): 2286-2293. doi: 10.1039/D2LC01175A
[8]	ZHANG P, BACHMAN H, OZCELIK A, et al. Acoustic microfluidics[J]. Annual Review of Analytical Chemistry, 2020, 13: 17-43. doi: 10.1146/annurev-anchem-090919-102205
[9]	PAIÈ P, ZANDRINI T, VÁZQUEZ R M, et al. Particle manipulation by optical forces in microfluidic devices[J]. Micromachines, 2018, 9(5): 200.
[10]	DING X, PENG Z, LINS S, et al. Cell separation using tilted-angle standing surface acoustic waves[J]. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(36): 12992-12997.
[11]	SEGRÉ G, SILBERBERG A. Radial particle displacements in Poiseuille flow of suspensions[J]. Nature, 1961, 189(4760): 209-210. doi: 10.1038/189209a0
[12]	王企鲲, 孙仁. 管流中颗粒"惯性聚集"现象的研究进展及其在微流动中的应用[J]. 力学进展, 2012, 42(6): 692-703. WANG Qikun, SUN Ren. Advances in the research on "inertial focus of particles" and its application in microfluidics[J]. Advances in Mechanics, 2012, 42(6): 692-703. (in Chinese)
[13]	沈洋, 王企鲲, 刘唐京. 剪切稀化流变特性对微通道中颗粒迁移的影响[J]. 应用数学和力学, 2024, 45(5): 637-650. doi: 10.21656/1000-0887.440326 SHEN Yang, WANG Qikun, LIU Tangjing. Effect of shear thinning rheological properties on particle migration in microchannels[J]. Applied Mathematics and Mechanics, 2024, 45(5): 637-650. (in Chinese) doi: 10.21656/1000-0887.440326
[14]	赵可馨, 王企鲲, 柯灵杰. 微通道中流体弹性对颗粒聚集的影响[J]. 应用数学和力学, 2025, 46(10): 1256-1266. doi: 10.21656/1000-0887.450275 ZHAO Kexin, WANG Qikun, KE Lingjie. The influence effect of fluid elasticity on particle aggregation in microchannels[J]. Applied Mathematics and Mechanics, 2025, 46(10): 1256-1266. (in Chinese) doi: 10.21656/1000-0887.450275
[15]	AMINI H, LEE W, DI CARLO D. Inertial microfluidic physics[J]. Lab on a Chip, 2014, 14(15): 2739-2761.
[16]	DI CARLO D, EDD J F, HUMPHRY K J, et al. Particle segregation and dynamics in confined flows[J]. Physical Review Letters, 2009, 102(9): 094503.
[17]	董骅, 黄龙润, 范亮亮, 等. 弧形变截面微通道内颗粒富集的实验研究[J]. 工程热物理学报, 2025, 46(2): 486-490. DONG Hua, HUANG Longrun, FAN Liangliang, et al. Experimental study on particle enrichment in arc-shaped variable cross-section microchannels[J]. Journal of Engineering Thermophysics, 2025, 46(2): 486-490. (in Chinese)
[18]	ZHAO Q, YUAN D, ZHANG J, et al. A review of secondary flow in inertial microfluidics[J]. Micromachines, 2020, 11(5): 461.
[19]	白汉洁, 林智慧, 郭时超, 等. 螺旋通道中稳定增强的二次流构建及其粒子聚焦研究[J]. 分析化学, 2024, 52(4): 504-512. BAI Hanjie, LIN Zhihui, GUO Shichao, et al. Spiral microfluidic for particle focusing by stabilization and acceleration of secondary flow[J]. Chinese Journal of Analytical Chemistry, 2024, 52(4): 504-512. (in Chinese)
[20]	DIVI R V, STROTHER J A, MISTY PAIG-TRAN E W. Manta rays feed using ricochet separation, a novel nonclogging filtration mechanism[J]. Science Advances, 2018, 4(9): eaat9533.
[21]	CLARK A S, SAN-MIGUEL A. A bioinspired, passive microfluidic lobe filtration system[J]. Lab on a Chip, 2021, 21(19): 3762-3774.
[22]	HASHEMI SHAHRAKI Z, NAVIDBAKHSH M, TAYLOR R A. Inertial cell sorting of microparticle-laden flows: an innovative OpenFOAM-based arbitrary Lagrangian-Eulerian numerical approach[J]. Biomicrofluidics, 2021, 15(1): 014111.
[23]	TSUJI Y, TANAKA T, ISHIDA T. Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe[J]. Powder Technology, 1992, 71(3): 239-250.