Integrated microfluidic platforms for extracellular vesicles: Separation, detection, and clinical translation

Area of Science:

• Biotechnology
• Nanotechnology
• Biomedical Engineering

Background:

• Extracellular vesicles (EVs) are crucial biomarkers for early disease diagnosis, containing proteins and nucleic acids.
• Traditional EV separation and detection methods are complex, time-consuming, and prone to errors, hindering research and clinical application.
• There is a need for integrated platforms that combine multiple EV analysis functions.

Purpose of the Study:

• To review integrated microfluidic platforms for extracellular vesicle (EV) separation and detection.
• To assess the level of integration between separation and detection units in these platforms.
• To highlight the potential of integrated platforms in advancing EV-based diagnostics.

Main Methods:

• Review of recent scientific literature focusing on integrated microfluidic devices for EVs.
• Analysis of platforms based on the full integration of separation and detection modules.
• Examination of studies demonstrating efficient EV separation and high-sensitivity detection.

Main Results:

• Integrated microfluidic platforms simplify workflows, reducing processing time and bioanalyte loss.
• These platforms enable seamless sample-to-result progression for EVs.
• Fully integrated systems show promise for efficient EV separation and sensitive detection.

Conclusions:

• Integrated microfluidic platforms are a promising solution for overcoming current limitations in EV analysis.
• These platforms can accelerate the clinical translation of EVs as biomarkers for diseases like cancer and neurodegenerative disorders.
• Further development of integrated systems will facilitate the routine adoption of EVs in diagnostics.