Mycotoxins in Food: From Prediction to Management and Control
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Toxicology".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 3035
Special Issue Editor
2. Synergetic Innovation Center for Food Safety and Nutrition, Jiangnan University, Wuxi 214122, China
Interests: food safety and metabolic toxicology; mass spectrometry metabolomics; mycotoxin combined toxicity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mycotoxins are toxic secondary metabolites produced by filamentous fungi that are widely present in food, leading to acute poisoning symptoms and physical damage to animals and humans. Some fungal species can produce more than one mycotoxin, and some specific mycotoxins can be produced by different fungal species. Indeed, the co-contamination of agricultural commodities with multiple mycotoxins is frequently observed. Multi-mycotoxin contamination is, therefore, also expected to arise in products destined for human and animal consumption. Although more than 400 mycotoxins have been identified to date, they can be transformed into masked forms by phase I metabolism, phase II metabolism, certain chemical reactions or unknown effects. These masked mycotoxins are undetectable using conventional analytical techniques because their structure has changed. Thus, their toxicity has only been partially resolved.
This Special Issue aims to collect up-to-date studies on the following topics:
- The structure prediction methods of novel mycotoxins.
- The detection methods of multi-mycotoxins.
- Approaches to the management and control of mycotoxin.
- Mass databases of masked mycotoxins.
- The combined toxicity or novel toxicity of mycotoxins.
- Forecasting models for estimating the level of mycotoxins in food.
We invite authors to submit both original research studies and critical review papers to this Special Issue of Foods.
Dr. Jian Ji
Guest Editor
Manuscript Submission Information
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Keywords
- mycotoxins
- structure prediction
- toxicity prediction
- management and control
- masked mycotoxins
- forecasting models
- combined toxicity
- mycotoxin database
- machine learning
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