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Related Experiment Video

Updated: May 16, 2025

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
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Recent advances in bioreceptor-based sensing for extracellular vesicle analysis.

Myoung Gyu Kim1, Soo Min Ryu2, Yong Shin3

  • 1Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.

Biosensors & Bioelectronics
|April 5, 2025
PubMed
Summary

Bioreceptor-based biosensors offer sensitive and specific detection of extracellular vesicles (EVs) for improved disease diagnostics. These advanced tools overcome challenges posed by EV heterogeneity, enabling precise characterization and real-time analysis.

Keywords:
Biomarker analysisBioreceptor-based biosensingDiagnosticsExtracellular vesicles

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Area of Science:

  • Biotechnology
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Extracellular vesicles (EVs) are crucial biomarkers for disease diagnostics due to their cargo reflecting cellular origin.
  • EV heterogeneity (size, composition, source) poses challenges for reliable detection and analysis.
  • Conventional methods like ultracentrifugation have limitations.

Purpose of the Study:

  • To review advances in bioreceptor-based biosensor technologies for EV detection and characterization.
  • To highlight how these biosensors address limitations of conventional EV analysis.
  • To showcase the potential of biosensors in EV research and diagnostics.

Main Methods:

  • Utilizing bioreceptors such as antibodies, aptamers, peptides, lectins, and molecularly imprinted polymers.
  • Targeting specific EV surface markers (proteins, lipids, glycans) for precise detection.
  • Employing biosensor platforms for sensitive, specific, multiplexed, and real-time EV analysis.

Main Results:

  • Bioreceptor-based biosensors demonstrate high sensitivity and specificity in EV detection.
  • These technologies enable precise characterization of EV subpopulations.
  • Biosensors allow for real-time analysis while maintaining EV structural integrity.

Conclusions:

  • Bioreceptor-based biosensors represent a significant advancement in extracellular vesicle research.
  • These technologies offer transformative potential for disease diagnostics and therapeutic monitoring.
  • The integration of biosensing tools and bioreceptors paves the way for novel diagnostic innovations.