Related Experiment Video
Updated: May 27, 2025
06:28
Author Spotlight: Asymmetric Field Flow Fractionation for Bioreactor Integration
Published on: February 2, 2024
639
Extracellular Vesicles Separation and Biomedical Application Based on Affinity Recognition and Antifouling Coating
Yuxing He1, Jia Kang1, Xuwen Yang1
1Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China.
Analytical Chemistry
|February 20, 2025
Summary
Researchers developed bifunctional silica microspheres for isolating extracellular vesicles (EVs). This novel method enables specific, high-purity EV separation for direct cancer detection, improving diagnostic potential.
Area of Science:
- Biotechnology
- Nanotechnology
- Biochemistry
Background:
- Extracellular vesicles (EVs) mediate intercellular communication and are potential disease biomarkers.
- Current EV separation techniques face limitations hindering clinical use.
Purpose of the Study:
- To develop a novel method for specific and nondestructive isolation of EVs.
- To enable direct cancer detection using isolated EVs from clinical samples.
Main Methods:
- Utilized bifunctional silica microspheres (SiO2-PTB-PS) functionalized with a phosphatidylserine (PS) recognition peptide (PSpep).
- Incorporated an anti-adhesion coating to minimize protein contamination and enhance EV purity.
- Developed a detection system combining microspheres with surface-enhanced Raman scattering (SERS) nanoprobes.
Main Results:
- Achieved specific and nondestructive isolation of high-purity EVs.
- Successfully detected protein tyrosine kinase 7 (PTK7) and epithelial cell adhesion molecule (EpCAM) on isolated EVs.
- Demonstrated 80% precision in distinguishing cancer patients from healthy donors using the developed system.
Conclusions:
- The SiO2-PTB-PS microsphere system offers a promising approach for high-purity EV separation.
- This technology advances the clinical application of EVs for disease diagnostics, particularly in cancer detection.
