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Updated: Aug 1, 2025

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles
Published on: January 20, 2023
A standardized method for plasma extracellular vesicle isolation and size distribution analysis.
J Nathaniel Diehl1, Amelia Ray1, Lauren B Collins1
1University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America.
This study presents a standardized protocol for isolating and quantifying plasma extracellular vesicles (EVs) using size exclusion chromatography and resistive pulse sensing. This method ensures reproducible results and enables absolute quantification for diagnostic and therapeutic applications.
Area of Science:
- Biochemistry
- Nanotechnology
- Clinical Diagnostics
Background:
- Extracellular vesicles (EVs) show promise for diagnostics and therapeutics.
- Current methods for EV data collection lack standardization, hindering clinical application.
- Limited sample volume often restricts comprehensive EV analysis.
Purpose of the Study:
- To establish a standardized, reproducible workflow for plasma extracellular vesicle (EV) isolation and quantification.
- To maximize the scientific value of limited biological specimens.
- To enable absolute quantification of EV concentration and size distribution.
Main Methods:
- Automated size exclusion chromatography for EV isolation.
- Tunable resistive pulse sensing for EV quantification.
- Minimizing variations in EV processing, handling, and storage for reproducibility.
Main Results:
- The protocol allows for efficient recovery of physiologically intact EVs.
- Absolute quantification of EV concentration and size distribution is achieved.
- The workflow is scalable and optimizes reproducibility.
Conclusions:
- This standardized protocol offers a scalable solution for EV analysis.
- Absolute quantification provides a novel method for standardizing downstream EV applications.
- The method supports the clinical translation of EVs by ensuring reliable data collection.
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