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Updated: Apr 15, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

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Published on: March 13, 2017

Remote-Controlled Microfluidic Platform for Real-Time Detection of Multiple Mycotoxins on Chip.

Jun Liu¹, Shiyu Zeng², Rashid Muhammad²

¹Suqian Product Quality Supervision and Inspection Institute, Suqian 223800, China.

Foods (Basel, Switzerland)

|April 14, 2026

Summary

This summary is machine-generated.

A new remote-controlled microfluidic platform (RCMP) offers rapid, cost-effective food safety monitoring for multiple mycotoxins. This automated system accurately detects deoxynivalenol, zearalenone, and fumonisin B1 in real samples like beer.

Keywords:

chemiluminescent (CL)colorimetric food safety microfluidic platform mycotoxins remote-controlled

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ELIME Enzyme Linked Immuno Magnetic Electrochemical Method for Mycotoxin Detection

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Published on: October 23, 2009

Area of Science:

Analytical Chemistry
Food Science
Biotechnology

Background:

Mycotoxin contamination in food poses significant human health risks.
Real-time monitoring is crucial for ensuring food safety and preventing exposure.
Existing methods for mycotoxin detection can be time-consuming and costly.

Purpose of the Study:

To develop and validate a remote-controlled microfluidic platform (RCMP) for rapid, cost-effective, and real-time monitoring of multiple mycotoxins.
To integrate a chemiluminescent/colorimetric detection system with the RCMP for enhanced sensitivity.
To apply the developed platform for the detection of deoxynivalenol (DON), zearalenone (ZEA), and fumonisin B1 (FB1) in food samples.

Main Methods:

Utilized an indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) on a microfluidic platform.
Integrated a chemiluminescent/colorimetric detection system for quantitative analysis.
Employed a remote-controlled system for automated sample processing and detection.
Validated the platform using beer samples spiked with known concentrations of mycotoxins.

Main Results:

The RCMP achieved sensitive and automatic detection of DON (4-128 ng/mL), ZEA (1-32 ng/mL), and FB1 (0.5-16 ng/mL).
Limits of detection (LOD) were determined as 2.881 ng/mL for DON, 0.702 ng/mL for ZEA, and 0.470 ng/mL for FB1.
Satisfactory recoveries (93.57%–108.47%) with low relative standard deviations (6.92%–11.39%) were obtained in beer samples.

Conclusions:

The developed RCMP is an automatic, high-throughput, and cost-effective method for detecting multiple mycotoxins.
The platform demonstrates reliable performance and can be confidently applied for mycotoxin monitoring in beer.
This technology contributes to improved food safety by enabling rapid and sensitive mycotoxin analysis.