Extracellular vesicles (EVs) are membrane-bound nanoparticles (50–1000 nm) secreted by all cell types and play critical roles in various biological processes. Among these, exosomes, a smaller subset of EVs, have attracted considerable interest due to their potential applications in diagnostics and therapeutics. However, conventional EV isolation methods are often limited by inefficiencies in processing time, recovery, and scalability. Hydrophobic interaction chromatography utilizing capillary-channeled polymer (C–CP) fiber stationary phases offers a promising alternative, enabling rapid (<15 min), cost-effective (~$5 per column) EV isolation with high loading capacities (~1010–10¹² particles) and minimal sample pre-processing. Despite these advantages, achieving high-throughput EV isolation for larger-scale applications using the C–CP fiber platform is the present challenge. To this end, further optimization of stationary phase packing and adsorption conditions is necessary to maximize the available binding surface area in the current microbore column format. This study systematically investigates the influence of interstitial fraction (i.e. packing density) in polyester (PET) C–CP fiber columns on the dynamic binding capacity (DBC) of EVs isolated from human urine using a high-performance liquid chromatography platform. Microbore columns (0.76 mm i.d. × 300 mm) packed with PET C–CP fibers in both an eight-channel (PET-8) and a novel trilobal (PET-Y) configuration were evaluated using breakthrough curves and frontal analysis. The results reveal that lower packing densities correlate with higher mass- and surface areabased EV binding capacities, with a maximum DBCs of 2.86 × 10¹³ EVs g-1 fiber and 1.22 × 10¹⁴ EVs m⁻² fiber achieved in <2 min of sample loading. Under optimum conditions, surface utilization of >50 % is realized. These results establish a framework for optimizing C–CP fiber-based platforms to enhance EV capture efficiency, facilitating the development of scalable EV isolation techniques for biomedical research and therapeutic applications.
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Isolation of Urinary Extracellular Vesicles (EVs) via Hydrophobic Interaction Chromatography Using a Nylon‐6 Capillary‐Channeled Polymer (C‐CP) Fiber Column
ABSTRACT Exosomes, a subset of extracellular vesicles (EVs) ranging in size from 30 to 150 nm, are of significant interest for biomedical applications such as diagnostic testing and therapeutics delivery. Biofluids, including urine, blood, and saliva, contain exosomes that carry biomarkers reflective of their host cells. However, isolation of EVs is often a challenge due to their size range, low density, and high hydrophobicity. Isolations can involve long separation times (ultracentrifugation) or result in impure eluates (size exclusion chromatography, polymer‐based precipitation). As an alternative to these methods, this study evaluates the first use of nylon‐6 capillary‐channeled polymer (C‐CP) fiber columns to separate EVs from human urine via a step‐gradient hydrophobic interaction chromatography method. Different from previous efforts using polyester fiber columns for EV separations, nylon‐6 shows potential for increased isolation efficiency, including somewhat higher column loading capacity and more gentle EV elution solvent strength. The efficacy of this approach to EV separation has been determined by scanning electron and transmission microscopy, nanoparticle flow cytometry (NanoFCM), and Bradford protein assays. Electron microscopy showed isolated vesicles of the expected morphology. Nanoparticle flow cytometry determined particle densities of eluates yielding up to 5 × 108particles mL−1, a typical distribution of vesicle sizes in the eluate (60–100 nm), and immunoconfirmation using fluorescent anti‐CD81 antibodies. Bradford assays confirmed that protein concentrations in the EV eluate were significantly reduced (approx. sevenfold) from raw urine. Overall, this approach provides a low‐cost and time‐efficient (< 20 min) column separation to yield urinary EVs of the high purities required for downstream applications, including diagnostic testing and therapeutics.
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- Award ID(s):
- 2107882
- PAR ID:
- 10573899
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Journal of Separation Science
- Volume:
- 48
- Issue:
- 2
- ISSN:
- 1615-9306
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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