Mycotoxins in Food and Feeds: Human Health and Animal Nutrition

A special issue of Toxins (ISSN 2072-6651). This special issue belongs to the section "Mycotoxins".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 183

Special Issue Editors


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Guest Editor
Centre of Excellence in Mycotoxicology and Public Health, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, B-9000 Ghent, Belgium
Interests: mycotoxins; food safety; risk assessment; mass spectrometry; hyperspectral imaging

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Guest Editor
Magan Centre of Applied Mycology, Cranfield University, College Rd, Wharley End, Bedford MK43 0AL, UK
Interests: food mycology; mycotoxins; fruits and vegetables; cereals; food safety; fungal secondary metabolites

Special Issue Information

Dear Colleagues,

Mycotoxins are a prevalent challenge in food safety and animal nutrition, representing a significant threat to global health and agricultural sustainability. These naturally occurring toxins, produced by fungi, contaminate a wide range of crops, with implications that extend across the entire food chain from farm to fork. The diverse chemical structures and biological activities of mycotoxins present varied risks, demanding innovative approaches to the detection, mitigation, and understanding of their impact on human and animal health.

This Special Issue, titled “Mycotoxins in Food and Feeds: Human Health and Animal Nutrition”, will provide a platform for groundbreaking research and reviews addressing the multifaceted challenges posed by mycotoxins. We encourage contributions that explore cutting-edge advancements in detection technologies, risk assessment, and control strategies, as well as studies elucidating the nutritional and toxicological consequences in animals and humans. Additionally, we welcome research that delves into the global implications of mycotoxin contamination, innovative approaches to detoxification, and the intersection of policy, science, and industry.

Join us in advancing the frontiers of mycotoxin research. Through this Special Issue, we will inspire impactful solutions, foster interdisciplinary collaboration, and catalyze progress toward safeguarding the health of both humans and animals.

Dr. Maria Agustina Pavicich
Dr. Andrea Patriarca
Guest Editors

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Keywords

  • mycotoxins
  • food safety
  • feed safety
  • animal nutrition
  • toxin detection
  • fungal infection
  • human health
  • risk assessment
  • toxicology
  • agricultural sustainability

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Published Papers (1 paper)

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Review

21 pages, 1231 KiB  
Review
Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review
by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda and Sang-Heon Lee
Toxins 2025, 17(5), 219; https://doi.org/10.3390/toxins17050219 - 27 Apr 2025
Viewed by 173
Abstract
Cereal grains and nuts are the world’s most produced food and the economic backbone of many countries. Food safety in these commodities is crucial, as they are highly susceptible to mold growth and mycotoxin contamination in warm, humid environments. This review explores hyperspectral [...] Read more.
Cereal grains and nuts are the world’s most produced food and the economic backbone of many countries. Food safety in these commodities is crucial, as they are highly susceptible to mold growth and mycotoxin contamination in warm, humid environments. This review explores hyperspectral imaging (HSI) integrated with machine learning (ML) algorithms as a promising approach for detecting and quantifying mycotoxins in cereal grains and nuts. This study aims to (1) critically evaluate current non-destructive techniques for processing these foods and the applications of ML in identifying mycotoxins through HSI, and (2) highlight challenges and potential future research directions to enhance the reliability and efficiency of these detection systems. The ML algorithms showed effectiveness in classifying and quantifying mycotoxins in grains and nuts, with HSI systems increasingly adopted in industrial settings. Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. This review contributes to a deeper understanding of the integration of HSI and ML for food safety applications in cereal grains and nuts. By identifying current challenges and future research directions, it provides valuable insights for advancing non-destructive mycotoxin detection methods in the food industry using HSI. Full article
(This article belongs to the Special Issue Mycotoxins in Food and Feeds: Human Health and Animal Nutrition)
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