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MycotoxinDB: A Data-Driven Platform for Investigating Masked Forms of Mycotoxins
Jian Ji1,2, Dachuan Zhang3, Jin Ye4
1State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China.
Journal of Agricultural and Food Chemistry
|May 5, 2023
Summary
Masked mycotoxins pose risks to animal health and productivity. A new tool, MycotoxinDB, aids in identifying these hidden toxins and their prototypes, improving food safety.
Area of Science:
- Food Science
- Analytical Chemistry
- Toxicology
Background:
- Mycotoxins can transform into masked forms during plant metabolism and food processing.
- These masked mycotoxins and their parent compounds can lead to mixture toxicity, negatively impacting animal welfare and productivity.
- Identifying masked mycotoxins is challenging due to limitations in traditional analytical methods.
Purpose of the Study:
- To develop a rapid identification tool for masked mycotoxins.
- To address the challenges in structure elucidation of masked mycotoxins.
- To provide a freely accessible online resource for mycotoxin research.
Main Methods:
- Development of a data-driven online prediction tool, MycotoxinDB.
- Utilized reaction rules for the prediction of masked mycotoxin structures.
- Applied MycotoxinDB to analyze wheat samples for masked deoxynivalenol (DON).
Main Results:
- Successfully identified seven masked DONs in wheat samples using MycotoxinDB.
- Demonstrated the utility of MycotoxinDB in identifying previously undetected masked mycotoxins.
- Validated the effectiveness of the reaction rule-based prediction system.
Conclusions:
- MycotoxinDB facilitates the rapid identification of masked mycotoxins.
- The tool is expected to be invaluable for future mycotoxin research and food safety assessments.
- MycotoxinDB is available online for public use, promoting wider research applications.
