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利用CMOS集成微流控技术实现酵母细胞的介电泳固定

Dielectrophoretic Immobilization of Yeast Cells Using CMOS Integrated Microfluidics.

作者信息

Matbaechi Ettehad Honeyeh, Soltani Zarrin Pouya, Hölzel Ralph, Wenger Christian

机构信息

IHP-Leibniz-Institut für innovative Mikroelektronik, Im Technologiepark 25, 15236 Frankfurt/Oder, Germany.

Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses (IZI-BB), 14476 Potsdam-Golm, Germany.

出版信息

Micromachines (Basel). 2020 May 15;11(5):501. doi: 10.3390/mi11050501.

DOI:10.3390/mi11050501
PMID:32429098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7281093/
Abstract

This paper presents a dielectrophoretic system for the immobilization and separation of live and dead cells. Dielectrophoresis (DEP) is a promising and efficient investigation technique for the development of novel lab-on-a-chip devices, which characterizes cells or particles based on their intrinsic and physical properties. Using this method, specific cells can be isolated from their medium carrier or the mixture of cell suspensions (e.g., separation of viable cells from non-viable cells). Main advantages of this method, which makes it favorable for disease (blood) analysis and diagnostic applications are, the preservation of the cell properties during measurements, label-free cell identification, and low set up cost. In this study, we validated the capability of complementary metal-oxide-semiconductor (CMOS) integrated microfluidic devices for the manipulation and characterization of live and dead yeast cells using dielectrophoretic forces. This approach successfully trapped live yeast cells and purified them from dead cells. Numerical simulations based on a two-layer model for yeast cells flowing in the channel were used to predict the trajectories of the cells with respect to their dielectric properties, varying excitation voltage, and frequency.

摘要

本文介绍了一种用于固定和分离活细胞与死细胞的介电泳系统。介电泳(DEP)是一种用于开发新型芯片实验室设备的有前景且高效的研究技术,它基于细胞或颗粒的固有物理特性对其进行表征。使用这种方法,可以从其培养基载体或细胞悬浮液混合物中分离出特定细胞(例如,从非活细胞中分离出活细胞)。该方法的主要优点使其有利于疾病(血液)分析和诊断应用,包括测量过程中细胞特性的保留、无标记细胞识别以及低设置成本。在本研究中,我们验证了互补金属氧化物半导体(CMOS)集成微流控设备利用介电泳力操纵和表征活酵母细胞与死酵母细胞的能力。这种方法成功捕获了活酵母细胞并将其与死细胞分离。基于酵母细胞在通道中流动的两层模型进行的数值模拟,用于预测细胞相对于其介电特性、变化的激励电压和频率的轨迹。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/013fde908504/micromachines-11-00501-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/dfcf00b3a138/micromachines-11-00501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/b019e962fe82/micromachines-11-00501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/ac744c4d8d83/micromachines-11-00501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/8e204a62bc5e/micromachines-11-00501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/73342e20247a/micromachines-11-00501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/75442e8205f0/micromachines-11-00501-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/f908dda41e5b/micromachines-11-00501-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/749ef0c28f4e/micromachines-11-00501-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/a69ad7887715/micromachines-11-00501-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/6da0b6880dc8/micromachines-11-00501-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/a4c2fa86dd0c/micromachines-11-00501-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/5ca54e7d4e20/micromachines-11-00501-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/d8692f066eaa/micromachines-11-00501-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/14c6c76644ed/micromachines-11-00501-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/013fde908504/micromachines-11-00501-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/dfcf00b3a138/micromachines-11-00501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/b019e962fe82/micromachines-11-00501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/ac744c4d8d83/micromachines-11-00501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/8e204a62bc5e/micromachines-11-00501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/73342e20247a/micromachines-11-00501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/75442e8205f0/micromachines-11-00501-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/f908dda41e5b/micromachines-11-00501-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/749ef0c28f4e/micromachines-11-00501-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/a69ad7887715/micromachines-11-00501-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/6da0b6880dc8/micromachines-11-00501-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/a4c2fa86dd0c/micromachines-11-00501-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/5ca54e7d4e20/micromachines-11-00501-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/d8692f066eaa/micromachines-11-00501-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/14c6c76644ed/micromachines-11-00501-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef52/7281093/013fde908504/micromachines-11-00501-g015.jpg

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MyDEP: A New Computational Tool for Dielectric Modeling of Particles and Cells.MyDEP:一种用于颗粒和细胞介电建模的新计算工具。
生物医学微流控系统的集成、可穿戴应用及人工智能进展
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