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Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
Published on: April 23, 2012
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Study on sampling scheme for detecting mycotoxin during wheat storage
Yanjie Yi1,2, Kun Fan1,2, Youtian Shan1,2
1School of Biological Engineering, Henan University of Technology, Zhengzhou, China.
Journal of the Science of Food and Agriculture
|February 26, 2022
Summary
Safe grain storage is crucial for food security. This study identifies key areas in stored wheat for detecting deoxynivalenol (DON) contamination, focusing on insect density and moisture levels.
Area of Science:
- Agricultural Science
- Food Science
- Mycology
Background:
- Mycotoxins from mold pose significant food security risks.
- Safe grain storage is vital for controlling contamination.
- Standardized sampling schemes for mycotoxin detection in stored grain are lacking globally.
Purpose of the Study:
- To investigate deoxynivalenol (DON) contamination in stored wheat.
- To identify optimal sampling strategies for mycotoxin detection in grain storage.
- To establish a scientific basis for standardizing wheat sampling schemes.
Main Methods:
- Analysis of deoxynivalenol (DON) in stored wheat samples.
- Correlation analysis between wheat moisture, insect density, and DON content.
- Assessment of DON distribution in relation to wheat depth and ventilation.
Main Results:
- Wheat moisture content is highly correlated with DON levels (P < 0.01).
- Increased corn weevil density significantly elevates DON content in wheat.
- DON contamination is concentrated 14-20 cm below the wheat surface.
- Ventilation decreased moisture but increased DON, especially in poorly aerated areas.
Conclusions:
- Key sampling areas for mycotoxin detection include zones with high insect density (14-20 cm depth) and poorly ventilated, humid upper layers (H1 position).
- This research provides a scientific foundation for standardizing wheat sampling protocols to monitor mycotoxin contamination during storage.
