Anthocyanin-based colorimetric sensor for aflatoxin B1 (AFB1) detection in wheat: Performance optimization via
Congli Mei1, Yufei Hou2, Xiwen Zhou3
1College of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310048, PR China.
Summary
A new method uses natural plant pigments and near-infrared spectroscopy to detect toxic aflatoxin B1 in wheat. This rapid, eco-friendly approach offers reliable on-site screening for food safety.
Area of Science:
- Food Science
- Analytical Chemistry
- Spectroscopy
Background:
- Aflatoxin B1 (AFB1) contamination in wheat presents significant risks to food security and public health.
- Existing detection methods for AFB1 are often slow, costly, or require laboratory settings.
Purpose of the Study:
- To develop a rapid, eco-friendly, and on-site detection method for AFB1 residues in wheat.
- To integrate a natural anthocyanin-based colorimetric sensor array (CSA) with near-infrared spectroscopy (NIRS).
Main Methods:
- Developed a coupled CSA-NIRS system for AFB1 detection.
- Constructed a Deep-RNN regression model to analyze high-dimensional spectral data.
- Compared NIRS-based models with traditional RGB-based models.
Main Results:
- NIRS effectively expanded the feature dimension of the CSA.
- NIRS-based models showed significantly higher recognition accuracy than RGB-based models.
- The optimized Deep-RNN model achieved a quantitative prediction accuracy exceeding 0.90 for AFB1.
Conclusions:
- The integrated CSA-NIRS system provides a novel and reliable solution for on-site rapid screening of mycotoxins.
- This method overcomes limitations of conventional detection technologies for AFB1 in wheat.
- The study offers a promising approach for ensuring food safety and public health regarding mycotoxin contamination.