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Related Experiment Video

Updated: Sep 3, 2025

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
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Design of a Sensitive Extracellular Vesicle Detection Method Utilizing a Surface-Functionalized Power-Free Microchip.

Ryo Ishihara1, Asuka Katagiri2, Tadaaki Nakajima3

  • 1Faculty of Medicine, Juntendo University, Chiba 270-1695, Japan.

Membranes
|July 25, 2022
PubMed
Summary

Researchers developed a highly sensitive microchip method for detecting extracellular vesicles (EVs), improving detection limits by 29-fold. This advancement aids in developing EV-based diagnostics for diseases like cancer.

Keywords:
cancersdetection sensitivityextracellular vesiclespoint-of-care testingsurface-functionalized power-free microchip

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Area of Science:

  • Biotechnology
  • Nanotechnology
  • Medical Diagnostics

Background:

  • Extracellular vesicles (EVs) are vital biomarkers found in bodily fluids.
  • Current detection methods for EVs often lack sensitivity and efficiency.
  • Accurate EV detection is crucial for disease diagnosis and monitoring.

Purpose of the Study:

  • To develop a simple, highly sensitive microchip-based method for detecting extracellular vesicles (EVs).
  • To significantly improve the limit of detection (LOD) for EVs.
  • To establish a foundation for point-of-care testing (POCT) using EVs.

Main Methods:

  • Engineered a microchip with a modified microchannel structure (reduced height to 8 µm in the detection region).
  • Optimized EV capture protocols, extending capture time from 5 to 10 minutes.
  • Utilized a 2.0 µL sample volume for EV detection.

Main Results:

  • Achieved a 29-fold improvement in the limit of detection (LOD) for EVs.
  • Established a new LOD of 6.3 × 1010 particles/mL, surpassing typical blood EV concentrations.
  • Demonstrated a total detection time of 19 minutes.

Conclusions:

  • Optimizing microchannel design and EV capture protocols enhances detection sensitivity.
  • The developed method offers a significant advancement in EV detection technology.
  • This technique holds promise for developing EV-based cancer point-of-care testing.