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A homogeneous immunosensor for AFB1 detection based on FRET between different-sized quantum dots.

Wei Xu¹, Yonghua Xiong¹, Weihua Lai²

¹State Key Laboratory of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang 330047, PR China; Jiangxi-OAI Joint Research Institute, Nanchang University, 235 Nanjing East Road, Nanchang 330047, PR China.

Biosensors & Bioelectronics

|February 4, 2014

Summary

This study developed a highly sensitive quantum dot-based immunosensor for detecting aflatoxin B1 (AFB1) in rice. The novel Förster resonance energy transfer (FRET) method offers accurate mycotoxin detection for improved food safety.

Keywords:

Aflatoxin B(1)Fluorescence resonance energy transfer Quantitative immunoassay Quantum dots

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Area of Science:

Food Science and Technology
Analytical Chemistry
Biotechnology

Background:

Mycotoxins, particularly aflatoxin B1 (AFB1), pose significant food safety risks due to their carcinogenicity and toxicity.
Highly sensitive detection methods are crucial for identifying AFB1 in food matrices like rice grains.
Existing detection methods may lack the sensitivity or specificity required for comprehensive food safety analysis.

Purpose of the Study:

To develop a sensitive and reliable immunosensor for the detection of aflatoxin B1 (AFB1) in rice.
To utilize quantum dots (QDs) and Förster resonance energy transfer (FRET) for enhanced detection capabilities.
To optimize the immunosensor for practical application in food safety monitoring.

Main Methods:

Construction of a FRET-based immunosensor using different-sized quantum dots (QDs) as donor and acceptor.
Design of monovalent monoclonal antibody (mAb)-labeled red QDs and multivalent hapten-labeled green QDs to prevent aggregation.
Optimization of assay parameters including reactant ratios, buffer pH, ionic strength, and immunoreaction time.

Main Results:

The FRET-based immunosensor demonstrated a linear relationship between energy transfer efficiency and the logarithm of AFB1 concentration over a wide range (0.19-16 pM).
Achieved a low limit of detection of 0.13 pM (0.04 ng/mL) for AFB1 in rice extracts.
Exhibited high recovery rates (81-97%) in intra-assay and inter-assay analyses for spiked rice samples, comparable to commercial ELISA kits.

Conclusions:

The developed FRET-based QD immunosensor provides a highly sensitive and accurate method for AFB1 detection in rice.
This approach offers a promising tool for ensuring food safety and preventing mycotoxin contamination.
The sensor's performance is statistically comparable to established methods, indicating its potential for real-world application.