Detection Strategies and Risk Assessment of Genetically Modified Foods
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: closed (18 November 2024) | Viewed by 6484
Special Issue Editor
2. Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
Interests: food safety; risk assessment; food nutrition; genetically modified food
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development of genetically modified (GM) or bioengineering (BE) technology, especially GM foods, has brought extremely high economic and nutritional improvements as well as social benefits to human society. However, the risks of GM technology has always been controversial, with potential risks to the ecological environment and consumers due to its potential allergeniticy and toxicity. With the maturity and quick development of GM technology, such as gene editing technology, more and more novel GM foods are being developed. Therefore, it is particularly important to develop rapid and effective detection strategies and risk assessment methods for GM foods. Different analytical methods have been developed in recent years, including targeted analysis and state-of-the-art analytical strategies based on omics technology. Despite these advances, more robust, reliable and comprehensive methods to facilitate the rapid development of bioengineering technology to evaluate the safety and quality of GM/BE foods are still needed. This Special Issue welcomes contributions related to GM food safety assessment and detection strategies and discusses the development trends and sustainability of GM foods.
Dr. Xiaoyun He
Guest Editor
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Keywords
- genetically modified/bioengineering foods and feeds
- food/feed safety
- gene editing
- CRISPR
- nutritional composition
- allergenicity
- toxicity
- unintended effect
- omics
- detection strategies
- rapid detection
- sustainable development
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