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Related Experiment Video

Updated: Sep 4, 2025

Paper-based Devices for Isolation and Characterization of Extracellular Vesicles
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Low-cost electrochemical paper-based device for exosome detection.

Surasak Kasetsirikul1,2, Kim Thinh Tran3, Kimberley Clack1,3

  • 1Queensland Micro-and Nanotechnology Centre (QMNC), Griffith University, Nathan Campus, Nathan, QLD 4111, Australia. nam-trung.nguyen@griffith.edu.au.

The Analyst
|July 14, 2022
PubMed
Summary

This study introduces a low-cost, paper-based device for detecting exosomes, including those from ovarian cancer cells. This innovation offers accessible diagnostics for remote or resource-limited settings.

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Last Updated: Sep 4, 2025

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Nanotechnology

Background:

  • Exosomes are crucial biomarkers for early disease detection and treatment prognostication.
  • Conventional exosome detection methods are often costly and require specialized laboratory equipment.
  • There is a need for accessible diagnostic tools, especially in resource-limited settings.

Purpose of the Study:

  • To develop a low-cost, electrochemical paper-based analytical device for quantifying exosomes.
  • To enable the detection of both total bulk exosomes and cancer cell-derived exosomes.
  • To provide a potential point-of-care diagnostic tool for exosome analysis.

Main Methods:

  • Utilized a sandwich immunoassay on an electrochemical paper-based device.
  • Captured exosomes using electrode-bound generic antibodies (CD9).
  • Detected ovarian cancer-specific exosomes using CA125 antibodies.

Main Results:

  • Quantified total bulk exosomes with a detection limit of 9.3 × 10^7 exosomes/mL.
  • Quantified ovarian cancer-derived exosomes with a detection limit of 7.1 × 10^8 exosomes/mL.
  • Achieved a relative standard deviation of <10% for measurements.

Conclusions:

  • The developed device is a low-cost and simple alternative for exosome detection.
  • This technology holds potential for point-of-care diagnosis of diseases using exosome biomarkers.
  • Further development could expand its application to various biological samples.