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Van Deun, J.

Publications and source records attributed to Van Deun, J..

2 recordsLinked to original sources

VDisk: Microfluidic Cartridge for Multimodal High-Yield, High-Purity Isolation of Extracellular Vesicles from up to 1 mL of Plasma

Blood-derived extracellular vesicles (EVs) hold strong diagnostic potential, yet conventional isolation methods such as ultracentrifugation and size-exclusion chromatography (SEC) involve manual handling steps and show substantial run-to-run variability, hindering clinical translation. This study presents the Vesicle Disk (VDisk), a centrifugal microfluidics-based EV purification platform that combines cation-exchange chromatography, sequential filtration, and multimodal chromatography for automated, label-free EV isolation from up to 1 mL of plasma. VDisk configurations differing in filter membrane and plasma volume (0.1-1.0 mL) are benchmarked against SEC for yield, purity, reproducibility and robustness. VDisk matches SEC in EV yield and exceeds it in EV/contaminant ratios at reduced input volumes, while achieving greater reproducibility (intra-donor CV < 5% for CD9 and CD81, versus up to 16% for SEC) and maintaining consistent yield and contaminant removal under both fasting and postprandial sampling conditions. The platform is application-tunable: processing up to 1 mL of plasma maximizes EV yield and concentration, whereas processing 0.5 mL achieves approximately 2-3-fold higher EV/total protein ratios than SEC. These findings establish the VDisk as an automated, robust and adaptable alternative to existing EV isolation methods for both research and clinical translation.

bioengineering↗

Interferometric nanoparticle tracking analysis enables label-free discrimination of extracellular vesicles from large lipoproteins

Extracellular vesicles (EVs) are increasingly gaining interest as biomarkers and therapeutics. Accurate sizing and quantification of EVs remain problematic, given their nanometer size range and small scattering cross-sections. This is compounded by the fact that common EV isolation methods result in co-isolation of particles with comparable features. Especially in blood plasma, similarly-sized lipoproteins outnumber EVs to a great extent. Recently, interferometric nanoparticle tracking analysis (iNTA) was introduced as a particle analysis method that enables determining the size and refractive index of nanoparticles with high sensitivity and precision. In this work, we apply iNTA to differentiate between EVs and lipoproteins, and compare its performance to conventional nanoparticle tracking analysis (NTA). We show that iNTA can accurately quantify EVs in artificial EV-lipoprotein mixtures and in plasma-derived EV samples of varying complexity. Conventional NTA could not report on EV numbers, as it was not able to distinguish between EVs and lipoproteins. iNTA has the potential to become a new standard for label-free EV characterization in suspension.

biophysics↗