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Affinity-Based Isolation and One-Pot Analysis of Extracellular Vesicles from Biofluids Using Phase Separated
Francesca Torrini1, Roberto Frigerio2, Jonathan Garlipp1
1Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zurich, Zurich, 8093, Switzerland.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 15, 2025
Summary
Zwitterionic coacervates enable selective isolation of extracellular vesicles (EVs) from biofluids. This method streamlines EV analysis for diagnostics and drug delivery applications.
Area of Science:
- Biotechnology
- Materials Science
- Biochemistry
Background:
- Extracellular vesicles (EVs) are crucial for diagnostics and therapeutics.
- Isolating EVs from complex biofluids like urine is challenging due to their heterogeneity.
- Current isolation methods struggle with efficiency, selectivity, and removing contaminants like lipoproteins.
Purpose of the Study:
- To develop a novel method for efficient and selective isolation of EVs.
- To demonstrate the utility of functionalized zwitterionic (ZW) coacervates for EV isolation and analysis.
- To overcome limitations of conventional EV separation techniques.
Main Methods:
- Development of phase-separated zwitterionic (ZW) coacervates.
- Functionalization of ZW coacervates with a membrane-sensing peptide for affinity-based EV capture.
- Application of the method to isolate EVs from urine samples.
- Analysis of isolated EVs using flow cytometry.
Main Results:
- ZW coacervates provide selective EV isolation across various pH and ionic strengths.
- The method achieves high yields of structurally intact EVs from urine.
- Efficient separation of EVs from lipoproteins was demonstrated.
- A one-pot assay for EV biomarker profiling was successfully implemented, streamlining workflows.
Conclusions:
- Functionalized ZW coacervates offer an effective strategy for selective EV isolation and direct analysis.
- This approach advances EV-based liquid biopsy and drug delivery applications.
- The method paves the way for improved diagnostics and large-scale EV manufacturing.

