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Updated: Jun 8, 2026

Size Exclusion Chromatography for Separating Extracellular Vesicles from Conditioned Cell Culture Media
Published on: May 13, 2022
Isolation and purification of extracellular vesicles based on dual mechanisms of charge/size exclusion by quaternized
Ziqing Qiang1, Zhenyuan Yang1, Weiyu Hu1
1Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China.
Abstract:
Extracellular vesicles (EVs), as key mediators of intercellular communication, are widely present in various biological samples. In this study, chitosan (CS) and polyethyleneimine (PEI) with different molecular weights were grafted onto Fe3O4 microspheres, followed by quaternization to yield two series of multifunctional brush-like materials denoted as Fe3O4@QCS and Fe3O4@QPEI. The quaternary ammonium groups efficiently capture EVs via electrostatic binding to membrane phosphate groups. Meanwhile, the grafted CS and PEI chains of different molecular weights form brush layers with tunable sieving properties, enabling size‑selective enrichment of EVs via the size exclusion effect. With moderate chain length and an extended polymer brush conformation, Fe3O4@QCS (200 kDa) captured EVs from fetal bovine serum (FBS) with the broadest size distribution. To isolate EVs from biological samples with high protein interference, we developed a charge/size synergy strategy. First, Fe3O4@PAA, a polyacrylic acid (PAA)-coated anionic magnetic nanoparticle, was used to adsorb positively charged contaminant proteins. Subsequently, Fe3O4@QCS (200 kDa) was employed to capture EVs and residual proteins, followed by salt-gradient elution to remove negatively charged contaminant proteins and release EVs. This strategy successfully achieved a protein removal efficiency of 96.9% and an EV recovery rate of 87.8% for milk samples, identifying 236 EV-characteristic proteins. This method was further applied to the enrichment of human plasma EVs, and downstream proteomic analysis identified 484 EV proteins.
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