三入口单级分形微流控浓度梯度芯片的设计与性能分析
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摘要
传统浓度梯度生成方法具有效率低、梯度不够精确、稳定性差等不足,微流控芯片因其特征尺寸小、反应快、精度高和易操控等优点,被广泛用于微流体浓度梯度生成。微流控芯片的通道结构与进样条件对浓度梯度的生成具有重要影响。基于自相似分形理论,开发了三入口单级分形微流控浓度梯度芯片。建立基于有限元的多物理场耦合模型,通过归一化流量矩阵与浓度矩阵的耦合设置,得到呈偏态分布与正态分布的浓度梯度分布规律。以红色染料与去离子水为样本进行实验,结果与数值模拟吻合较好,验证了芯片设计的科学性与有效性。
Traditional concentration gradient generation owns disadvantages such as low mixing efficiency, inaccurate gradient distribution and poor function stability. Microfluidic chips are widely used due to their advantages such as small characteristic dimension, rapid response, high precision and simple handling. The channel structure and pumping conditions of microfluidic chips have important influence on the status of concentration gradient generation. We develop a microfluidic chip for single-stage fractal concentration gradient with three inlets. A multi-physical coupling model is established based on finite element analysis method. Based on the coupling arrangement of normalized flow matrix and concentration matrix, the concentration gradient distribution law with the skewed distribution and the normal distribution is obtained. The experimental tests using red dye and deionized water have good agreement with the numerical simulation, which validates the theoretical principles of chip design.
Traditional concentration gradient generation owns disadvantages such as low mixing efficiency, inaccurate gradient distribution and poor function stability. Microfluidic chips are widely used due to their advantages such as small characteristic dimension, rapid response, high precision and simple handling. The channel structure and pumping conditions of microfluidic chips have important influence on the status of concentration gradient generation. We develop a microfluidic chip for single-stage fractal concentration gradient with three inlets. A multi-physical coupling model is established based on finite element analysis method. Based on the coupling arrangement of normalized flow matrix and concentration matrix, the concentration gradient distribution law with the skewed distribution and the normal distribution is obtained. The experimental tests using red dye and deionized water have good agreement with the numerical simulation, which validates the theoretical principles of chip design.
引文
[1] SHAH P,FRITZ J V,GLAAB E,et al.A Microfluidics-based in Vitro Model of the Gastrointestinal Human-microbe Interface [J].Nature Communications,2016,(7):11535.
[2] GE Yanyan,AN Qiu,GAO Yandong,et al.A Microfluidic Device for Generation of Chemical Gradients [J].Microsystem Technologies,2015,21(8):1797-1804.
[3] HU Chunfei,LIN Yusheng,CHEN Hongmei,et al.Concen-tration Gradient Generator for H460 Lung Cancer Cell Sensitivity to Resist the Cytotoxic Action of Curcumin in Microenvironmental PH Conditions [J].RSC Advance,2016,(6):107310-107316.
[4] ZAIDON N,MANSOR A F M,MAK W C,et al.Micro-fluidic Concentration Gradient for Toxicity Studies of Lung Carcinoma Cells [J].Procedia Technology,2017,(27):153-154.
[5] ANIELSKI A,PFANNES E K,BETA C.Adaptive Micro-fluidic Gradient Generator for Quantitative Chemotaxis Experiments [J].Review of Scientific Instruments,2017,88(3):034301.
[6] HOU Zining,AN Yu,HJORT K,et al.Time Lapse Inves-tigation of Antibiotic Susceptibility Using a Microfluidic Linear Gradient 3D Culture Device [J].Lab on A Chip,2014,14(17):3409-3418.
[7] HONG Bo,XUE Peng,WU Yafeng,et al.A Concentration Gradient Generator on a Paper-based Microfluidic Chip Coupled with Cell Culture Microarray for High-throughput Drug Screening [J].Biomedical Microdevices,2016,18(1):1-8.
[8] YAMADA K,SHIBATA H,SUZUKI K,et al.Toward Practical Application of Paper-based Microfluidics for Medical Diagnostics:State of the Art and Challenges [J].Lab on A Chip,2017,17(7):1206-1249.
[9] GUO Rui,YANG Chunguang,XU Zhangrun.A Superpos-able Double-gradient Droplet Array Chip for Preparation of PEGDA Microspheres Containing Concentration-gradient Drugs [J].Microfluidics and Nanofluidics,2017,21(10):157.
[10] YANG Chunguang,LIU Yanhua,DI Yueqin,et al.Gene-ration of Two-dimensional Concentration-gradient Droplet Arrays on a Two-layer Chip for Screening of Protein Crystallization Conditions [J].Microfluidics & Nanofluidics,2015,18(3):493-501.
[11] ZHOU Yao,LIN Qiao.Microfluidic Flow-free Generation of Chemical Concentration Gradients [J].Sensors and Actuators B:Chemical,2014,(190):334-341.
[12] MENACHERY A,KUMAWAT N,QASAIMEH M A.Mer-ging Orthogonal Microfluidic Flows to Generate Multi-profile Concentration Gradients [J].RSC Adv.,2017,7(72):45513-45520.
[13] JHA A K,BAHGA S S.Uncertainty Quantification in Modeling of Microfluidic T-sensor Based Diffusion Immuno-assay [J].Biomicrofluidics,2016,10(1):014105.
[14] DEEKSHITH K,JADHAV S.Design and Optimization of Microfluidic Device for Generating Robust Uniform Concentration Gradients [J].Chemical Engineering & Processing:Process Intensification,2018,(124):155-163.
[15] SHEN Qilong,ZHOU Qiongwei,LU Zhigang,et al.Gene-ration of Linear and Parabolic Concentration Gradients by Using a Christmas Tree-shaped Microfluidic Network [J].Wuhan University Journal of Nature Sciences,2018,23(3):244-250.
[2] GE Yanyan,AN Qiu,GAO Yandong,et al.A Microfluidic Device for Generation of Chemical Gradients [J].Microsystem Technologies,2015,21(8):1797-1804.
[3] HU Chunfei,LIN Yusheng,CHEN Hongmei,et al.Concen-tration Gradient Generator for H460 Lung Cancer Cell Sensitivity to Resist the Cytotoxic Action of Curcumin in Microenvironmental PH Conditions [J].RSC Advance,2016,(6):107310-107316.
[4] ZAIDON N,MANSOR A F M,MAK W C,et al.Micro-fluidic Concentration Gradient for Toxicity Studies of Lung Carcinoma Cells [J].Procedia Technology,2017,(27):153-154.
[5] ANIELSKI A,PFANNES E K,BETA C.Adaptive Micro-fluidic Gradient Generator for Quantitative Chemotaxis Experiments [J].Review of Scientific Instruments,2017,88(3):034301.
[6] HOU Zining,AN Yu,HJORT K,et al.Time Lapse Inves-tigation of Antibiotic Susceptibility Using a Microfluidic Linear Gradient 3D Culture Device [J].Lab on A Chip,2014,14(17):3409-3418.
[7] HONG Bo,XUE Peng,WU Yafeng,et al.A Concentration Gradient Generator on a Paper-based Microfluidic Chip Coupled with Cell Culture Microarray for High-throughput Drug Screening [J].Biomedical Microdevices,2016,18(1):1-8.
[8] YAMADA K,SHIBATA H,SUZUKI K,et al.Toward Practical Application of Paper-based Microfluidics for Medical Diagnostics:State of the Art and Challenges [J].Lab on A Chip,2017,17(7):1206-1249.
[9] GUO Rui,YANG Chunguang,XU Zhangrun.A Superpos-able Double-gradient Droplet Array Chip for Preparation of PEGDA Microspheres Containing Concentration-gradient Drugs [J].Microfluidics and Nanofluidics,2017,21(10):157.
[10] YANG Chunguang,LIU Yanhua,DI Yueqin,et al.Gene-ration of Two-dimensional Concentration-gradient Droplet Arrays on a Two-layer Chip for Screening of Protein Crystallization Conditions [J].Microfluidics & Nanofluidics,2015,18(3):493-501.
[11] ZHOU Yao,LIN Qiao.Microfluidic Flow-free Generation of Chemical Concentration Gradients [J].Sensors and Actuators B:Chemical,2014,(190):334-341.
[12] MENACHERY A,KUMAWAT N,QASAIMEH M A.Mer-ging Orthogonal Microfluidic Flows to Generate Multi-profile Concentration Gradients [J].RSC Adv.,2017,7(72):45513-45520.
[13] JHA A K,BAHGA S S.Uncertainty Quantification in Modeling of Microfluidic T-sensor Based Diffusion Immuno-assay [J].Biomicrofluidics,2016,10(1):014105.
[14] DEEKSHITH K,JADHAV S.Design and Optimization of Microfluidic Device for Generating Robust Uniform Concentration Gradients [J].Chemical Engineering & Processing:Process Intensification,2018,(124):155-163.
[15] SHEN Qilong,ZHOU Qiongwei,LU Zhigang,et al.Gene-ration of Linear and Parabolic Concentration Gradients by Using a Christmas Tree-shaped Microfluidic Network [J].Wuhan University Journal of Nature Sciences,2018,23(3):244-250.