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An electrochemical biosensor for immobilization coupling and quantifying exosomes based on a UiO-66 metal-organic
Zhangmin Wang1, Xiaoyu Fan1, Xiaobo Hu2
1Shanghai Center for Clinical Laboratory, Shanghai 200126, China.
Bioelectrochemistry (Amsterdam, Netherlands)
|September 16, 2025
Summary
A novel electrochemical biosensor utilizes UiO-66 metal-organic frameworks to detect lung cancer exosomes. This sensitive method offers a promising tool for early cancer diagnosis and monitoring.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Research
Background:
- Extracellular vesicles, especially exosomes, are emerging as crucial cancer biomarkers.
- Exosome membrane proteins provide insights into parent cell status and serve as accessible targets.
- Early detection of lung cancer is critical for improving patient outcomes.
Purpose of the Study:
- To develop a sensitive electrochemical biosensor for quantifying lung cancer-derived exosomes.
- To utilize a Zr-based UiO-66 metal-organic framework for exosome immobilization and detection.
- To assess the biosensor's performance in terms of sensitivity, linear range, and limit of detection.
Main Methods:
- Fabrication of an electrochemical biosensor incorporating UiO-66 metal-organic framework.
- Immobilization of exosomes via coupling with UiO-66 and phosphate groups.
- Detection of lung cancer exosomes using carcinoembryonic antigen (CEA) aptamers targeting CEA protein.
- Electrochemical analysis for exosome quantification.
Main Results:
- The biosensor achieved high sensitivity with a wide linear range (10^2 to 5 x 10^6 particles/μL).
- A low limit of detection (7 particles/μL) was demonstrated.
- Selective binding of CEA-specific exosomes from different lung cancer subtypes was observed, indicating clinical potential.
Conclusions:
- The developed electrochemical biosensor offers a sensitive and efficient method for detecting lung cancer exosomes.
- The biosensor shows promise for early clinical diagnosis of lung cancer due to its affordability, sensitivity, and ease of operation.
- This approach provides a valuable tool for cancer biomarker research and clinical applications.

