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ELIME Enzyme Linked Immuno Magnetic Electrochemical Method for Mycotoxin Detection
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Silent Saboteurs: Decoding Mycotoxins-From Chemistry and Prevalence to Health Risks, Detection, Management and
Kasun M Thambugala1,2,3, Dilakshini Dayananda1, Samawansha Tennakoon1
1Genetics and Molecular Biology Unit, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka.
Mycotoxins threaten food safety and health. Emerging technologies like AI and ML offer advanced detection and management strategies for these fungal toxins.
Area of Science:
- Food Science
- Toxicology
- Agricultural Science
Background:
- Mycotoxins are toxic fungal metabolites posing global risks to food safety, public health, and agriculture.
- Both acute and chronic exposure to mycotoxins have severe health consequences.
- Current surveillance, prevention, and risk management strategies face limitations in sensitivity, cost, and field applicability.
Purpose of the Study:
- To review the classification, biosynthesis, chemistry, and mechanisms of action of mycotoxins.
- To highlight the global prevalence and health impacts of mycotoxin exposure.
- To explore emerging technologies for improved mycotoxin detection and management.
Main Methods:
- Comprehensive literature review on mycotoxins.
- Analysis of traditional detection and control strategies.
- Evaluation of emerging technologies, including AI and ML with advanced sensing platforms.
Main Results:
- Mycotoxins present significant global challenges despite extensive research.
- Existing detection methods are often costly and lack field applicability.
- AI and ML integrated with sensing platforms show promise for enhanced precision and real-time mycotoxin monitoring.
Conclusions:
- Substantial gaps persist in effective mycotoxin surveillance and management.
- Novel strategies integrating AI, ML, and biotechnology are crucial for proactive food safety.
- Interdisciplinary approaches are essential to mitigate the global impact of mycotoxins.
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