微流控
化学
聚乙二醇
色谱法
PEG比率
磁性纳米粒子
毛细管电泳
细胞外小泡
纳米技术
试剂
微流控芯片
纳米颗粒
材料科学
物理化学
有机化学
财务
细胞生物学
经济
生物
作者
Marco Morani,Myriam Taverna,Zuzana Krupová,Lucile Alexandre,Pierre Defrenaix,Thanh Duc
出处
期刊:Talanta
[Elsevier]
日期:2022-11-01
卷期号:249: 123625-123625
被引量:5
标识
DOI:10.1016/j.talanta.2022.123625
摘要
In this study, we present a novel microfluidic droplet-based strategy for high performance isolation of extracellular vesicles (EVs). For EVs capture and release, a magnetic bead-based approach without having recourse to any antibody was optimized in batch and then adapted to the microfluidic droplet system. This antibody-free capture approach relies on the presence of a water-excluding polymer, polyethylene glycol (PEG), to precipitate EVs on the surface of negatively charged magnetic beads. We significantly improved the reproducibility of EV recovery and avoided positive false bias by including a washing step and optimizing the protocol. Well-characterized EV standards derived from pre-purified bovine milk were used for EVs isolation performance evaluation. An EVs recovery of up to 25% estimated with nanoparticle tracking analysis (NTA) was achieved for this batchwise PEG-based approach. The confirmation of isolated EVs identity was also made with our recently developed method using capillary electrophoresis (CE) coupled with laser-induced fluorescent (LIF) detection. In parallel, a purpose-made droplet platform working with magnetic tweezers was developed for translation of this PEG-based method into a droplet microfluidic protocol to further improve the performance in terms of EVs capture efficiency and high throughput. The droplet-based protocol offers a significant improvement of recovery rate (up to 50%) while reducing sample and reagent volumes (by more than 10 folds) and operation time (by 3 folds) compared to the batch-wise mode.
科研通智能强力驱动
Strongly Powered by AbleSci AI