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Updated: May 20, 2025
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Paper-based Devices for Isolation and Characterization of Extracellular Vesicles
Published on: April 3, 2015
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From bench to bedside: The evolution of extracellular vesicle diagnostics through microfluidic and paper-based
Ganji Praveena1, Arjun Jayachandran2, Sasidhar Manda Venkata3
1Urvogelbio Private Limited, AHERF, Film Nagar, Hyderabad, Telangana 500033, India.
Colloids and Surfaces. B, Biointerfaces
|April 13, 2025
Summary
Microfluidic and paper-based technologies improve extracellular vesicle (EV) isolation and detection for disease diagnostics. These innovative methods offer faster, more efficient, and scalable solutions for point-of-care testing and personalized medicine.
Area of Science:
- Biotechnology
- Nanotechnology
- Medical Diagnostics
Background:
- Extracellular vesicles (EVs) are crucial for intercellular communication and serve as disease biomarkers.
- Traditional EV isolation and detection methods face limitations in efficiency, scalability, and purity, hindering clinical application.
Purpose of the Study:
- To review recent advancements in microfluidic and paper-based technologies for EV isolation and detection.
- To highlight the advantages of these novel platforms over conventional methods for diagnostic applications.
Main Methods:
- Exploration of microfluidic devices for enhanced EV isolation and concentration.
- Analysis of paper-based assays for sensitive and rapid EV detection.
- Integration of multiple analytical steps into compact, user-friendly platforms.
Main Results:
- Microfluidic and paper-based technologies significantly improve EV isolation efficiency and purity.
- These platforms reduce sample volume requirements and accelerate processing times.
- Integrated systems offer potential for multiplexed biomarker detection from EVs.
Conclusions:
- Microfluidic and paper-based technologies represent a transformative approach to EV-based diagnostics.
- These innovations promise to advance point-of-care diagnostics, enabling rapid disease detection and personalized treatment monitoring.
- Addressing challenges in standardization and scalability is crucial for widespread clinical adoption.
