Continuous-flow label-free size fractionation of extracellular vesicles through electrothermal fluid rolls and dielectrophoresis synergistically integrated in a microfluidic device

被引:18
作者
Bu, Yang [1 ]
Wang, Jinhui [2 ]
Ni, Sheng [1 ]
Guo, Yusong [2 ]
Yobas, Levent [1 ,3 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Clear Water Bay, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Div Life Sci, Clear Water Bay, Hong Kong, Peoples R China
[3] Hong Kong Univ Sci & Technol, Dept Chem & Biol Engn, Clear Water Bay, Hong Kong, Peoples R China
关键词
EXOSOMES; SEPARATION; BLOOD; CELLS; BIOMARKERS; MEDIA; CHIP;
D O I
10.1039/d2lc01193j
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Extracellular vesicles (EVs) are cell-derived bioparticles that play significant roles in various biological processes including cell-to-cell communication and intercellular delivery. Additionally, they hold great potential as liquid biopsy biomarkers for pre-diagnostic applications. However, the isolation of EV subpopulations, especially exosomes from a biological fluid remains a challenge due to their submicron range. Here, we demonstrate continuous-flow label-free size fractionation of EVs for the first time through a synergistic combination of electrothermal fluid rolls and dielectrophoresis in a microfluidic device. The device features three dimensional microelectrodes with unique sidewall contours that give rise to effective electrothermal fluid rolls in cooperation with dielectrophoretic forces for the electrokinetic manipulation and size separation of submicron particles. We first validate the device functionality by separating submicron polystyrene particles from binary mixtures with a cut-off size of similar to 200 nm and then isolate intact exosomes from cell culture medium or blood serum with a high recovery rate and purity (similar to 80%). The device operation in a high-conductivity medium renders the method ideal for the purification of target bioparticles directly from physiological fluids, and may offer a robust and versatile platform for EV related diagnostic applications.
引用
收藏
页码:2421 / 2433
页数:13
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