1. 毕业设计（论文）的内容和要求

基于液滴的微流控技术，作为微流控技术的一个子类，是一种新发展的用于精准操作大量或少量小体积液体的技术。

它不仅具有微流控技术的基本优点，还能够克服常规微流控技术的部分缺点，如在通道内液体由于层流驱动的压力，在混合时受到限制；还有样品容易产生交叉污染等。

而作为液滴微流控技术的核心，多年来液滴生成方法经历了大量研究，各式各样的生成模式已经发展起来。

2. 参考文献

1. Kristina Woodruff, Sebastian J Maerkl. A.High-Throughput Microfluidic Platform for Mammalian Cell Transfection and Culturing[J].Scientific reports,2016,6:23937. 2. Muhammed S Boybay, Austin Jiao. Microwave sensing and heating of individual droplets in microfluidic devices[J].Lab Chip,2013,13(19):3840-3846. 3. Tanyuan Wang, Haichuan Zhu. Biosensor Based on Ultrasmall MoS2 Nanoparticles for Electrochemical Detection of H2O2 Released by Cells at the Nanomolar Level [J].Analytical Chemistry,2013,85(21):10289-10295. 4. Lothar Schmid, David A Weitz, Thomas Franke. Sorting drops and cells with acoustics: acoustic microfluidic fluorescence-activated cell sorter [J].Lab Chip,2014,14(19):3710-3718. 5. Jialan Cao, Johann Michael K#246;hler. Droplet‐based microfluidics for microtoxicological studies[J].Engineering in Life Sciences,2015,15(3):306-317. 6. Helena Zec, Dong Jin Shin, Tza-Huei Wang. Novel droplet platforms for the detection of disease biomarkers [J].Expert Review of Molecular Diagnostics,2014,14(7):787-801. 7. Jean-Baptiste Fleury, Ulf D Schiller. Mode coupling of phonons in a dense one-dimensional microfluidic crystal [J].New Journal of Physics,2014,16(6):063029. 8. David J. Collins, Adrian Neild. The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation[J].Lab Chip,2015,15(17):3439-3459. 9. Evgenia Yu Basova, Frantisek Foret. Droplet microfluidics in (bio)chemical analysis[J].Analyst,2015,140(1):22-38. 10. Qiushui Chen, Stefanie Utech, Dong Chen. Controlled assembly of heterotypic cells in a core#8211;shell scaffold: organ in a droplet [J].Lab Chip,2016,16(8):1346-1349. 11. David J. Collins, Tuncay Alan. Surface acoustic waves for on-demand production of picoliter droplets and particle encapsulation [J].Lab Chip,2013,13(16):3225-3231. 12. 林金明. 微流控芯片细胞分析[M]. 科学出版社: 北京, 2018.3: 177

3. 毕业设计（论文）进程安排

起讫日期 设计（论文）各阶段工作内容 备 注 2018/12/01-- 2018/12/31 选题、搜集资料 2019/01/01-- 2019-03-08 整理资料、确定设计方案 完成开题报告 开题报告 完成翻译 2019/03/09-- 2019/04/05 总体方案设计及理论基础的学习 2019/04/06-- 2019/04/26 参数设计与仿真结构搭建 中期总结与检查 2019/04/27-- 2019/05/10 仿真结构分析、数值计算与模型改进 2019/05/11-- 2019/05/31 整理分析结果，撰写论文 初稿在5.25完成 2019/06/01-- 2019/06/10 修改论文，准备PPT，答辩