Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296, Châtenay-Malabry, France.
Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296, Châtenay-Malabry, France; Institut Universitaire de France (IUF), France.
Talanta. 2022 Nov 1;249:123625. doi: 10.1016/j.talanta.2022.123625. Epub 2022 May 30.
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.
在本研究中,我们提出了一种基于微流控液滴的新型方法,用于高性能分离细胞外囊泡(EVs)。对于 EVs 的捕获和释放,我们优化了批处理中基于磁性珠的无抗体方法,然后将其适配于微流控液滴系统。这种无抗体捕获方法依赖于疏水性聚合物聚乙二醇(PEG)的存在,使 EVs 在带负电荷的磁性珠表面沉淀。我们通过包括洗涤步骤和优化方案,显著提高了 EV 回收的重现性,并避免了阳性假偏倚。使用源自预纯化牛乳的经过良好表征的 EV 标准品来评估 EVs 的分离性能。通过纳米颗粒跟踪分析(NTA)估计,这种基于 PEG 的批量方法可实现高达 25%的 EV 回收率。使用我们最近开发的毛细管电泳(CE)结合激光诱导荧光(LIF)检测方法也证实了分离的 EVs 的身份。同时,我们开发了一种专用的液滴平台,与磁镊一起工作,将这种基于 PEG 的方法转化为液滴微流控方案,以进一步提高 EVs 捕获效率和高通量方面的性能。与批量模式相比,基于液滴的方案可显著提高回收率(高达 50%),同时减少样品和试剂体积(减少 10 倍以上)和操作时间(减少 3 倍)。