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Updated: Feb 10, 2026

Fabrication of Three-dimensional Paper-based Microfluidic Devices for Immunoassays
Published on: March 9, 2017
Rapid detection of four mycotoxins in corn using a microfluidics and microarray-based immunoassay system
Yiqi Chen1, Xiangrui Meng1, Yunzeng Zhu1
1Department of Biomedical Engineering, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University School of Medicine, Beijing 100084, China.
A new microfluidic immunoassay system rapidly detects four common mycotoxins in food and commodities within 30 minutes. This user-friendly technology offers reliable detection of multiple contaminants in real samples.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Food Safety
Background:
- Mycotoxins pose significant risks to human and animal health.
- Contamination of food, fodder, and commodities with mycotoxins is a global concern.
- Existing detection methods can be time-consuming and complex.
Purpose of the Study:
- To develop a rapid, sensitive, and automated immunoassay system for detecting multiple mycotoxins.
- To utilize microfluidics and protein microarrays for enhanced detection capabilities.
- To provide a user-friendly and efficient solution for mycotoxin analysis.
Main Methods:
- Fabrication of custom microfluidic devices for simultaneous mycotoxin detection.
- Integration of fluid control and imaging systems for automated analysis.
- Development of a protein microarray-based immunoassay for four key mycotoxins: T-2 toxin, aflatoxin B1, ochratoxin A, and zearalenone.
Main Results:
- The system achieved automated detection of four mycotoxins within 30 minutes.
- Standard curves showed excellent logistic correlation (R² > 0.98) with working ranges of 0.1–20 ng/mL.
- Limits of detection ranged from 0.03 to 1.24 ng/mL for simultaneous detection, with recovery rates of 80–110% in spiked samples.
Conclusions:
- The developed microfluidic immunoassay system offers a rapid, reliable, and automated method for detecting multiple mycotoxins.
- The technology is suitable for analyzing complex matrices like water and field corn.
- This system represents a significant advancement in food safety and contaminant monitoring.
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