Related Experiment Video
Updated: Sep 3, 2025
09:16
Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
Published on: January 7, 2019
9.9K
Nanozyme-Based Lateral Flow Immunoassay (LFIA) for Extracellular Vesicle Detection
Baihui Wang1, Amanda Moyano1, José María Duque2,3
1Department of Physical and Analytical Chemistry, Institute of Biotechnology of Asturias, University of Oviedo, c/Julián Clavería 8, 33006 Oviedo, Spain.
Biosensors
|July 27, 2022
Summary
This study introduces a new lateral flow immunoassay using iron oxide nanozymes for detecting extracellular vesicles (EVs). This rapid detection method enhances signal visibility and lowers the detection limit for EVs, crucial biomarkers for diseases.
Area of Science:
- Biotechnology
- Nanotechnology
- Biomedical Diagnostics
Background:
- Extracellular vesicles (EVs) are vital nanoparticles with potential as disease biomarkers and for drug delivery.
- Rapid and accurate quantification of EVs is essential for research and clinical applications.
- Current detection methods may lack the speed or sensitivity required for widespread use.
Purpose of the Study:
- To develop a novel lateral flow immunoassay (LFIA) system for sensitive and rapid extracellular vesicle (EV) detection.
- To utilize Fe3O4 nanozymes as effective colorimetric labels and reporter probes for EV quantification.
- To evaluate the performance of modified iron oxide nanoparticles in enhancing LFIA sensitivity.
Main Methods:
- Synthesis and characterization of Fe3O4 magnetic nanoparticles (MNPs) coated with fatty acids (oleic, myristic, lauric acid).
- Evaluation of nanozyme activity (peroxidase-like) of coated MNPs using TMB substrate.
- Development of an LFIA system incorporating oleic acid-coated MNPs for detecting plasma-derived EVs via biotin-neutravidin affinity.
Main Results:
- Fe3O4 MNPs coated with oleic acid exhibited efficient peroxidase-like activity.
- The LFIA system demonstrated enhanced visual signals for EV detection.
- The limit of detection (LOD) for EVs was significantly reduced from 5.73 × 10^7 EVs/μL to 2.49 × 10^7 EVs/μL.
Conclusions:
- Fe3O4 MNPs functionalized with oleic acid serve as effective nanozyme probes and colorimetric labels for EV detection.
- The developed LFIA system offers a simple, rapid, and sensitive tool for quantifying EVs.
- This technology holds promise for advancing EV-based diagnostics and personalized medicine.
