Risk Assessment and Advanced, Sustainable, and Intelligent Solutions for Mycotoxin Management Along the Food/Feed Chain

A special issue of Toxins (ISSN 2072-6651).

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1933

Special Issue Editors


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Guest Editor
Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
Interests: mycotoxins; aflatoxin
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Special Issue Information

Dear Colleagues,

This Special Issue is particularly dedicated to the scientific content that will emerge during the 7th International Conference of Mycotoxicology and Food Security, to be held from November 17 to 20, 2025, in Hangzhou, China.  The main theme of this conference on Global Mycotoxin Challenges 2025 is Risk Assessment and Advanced, Sustainable, and Intelligent Solutions for Mycotoxin Management Along the Food/Feed Chain,  with the following main topics:   

  • Global Impact of Mycotoxins;
  • Biodiversity Toxigenic Fungi and Mycotoxin Monitoring;
  • Plant-Toxigenic Fungal Interactions and Regulation;
  • Fungal Diseases and Mycotoxin Control Along Food Chain;
  • Mycotoxin Remediation;
  • Mycotoxin and Human /Animal Health.

Scientific research, in general, and that related to the problems concerning mycotoxicology is advancing surprisingly, given the availability of sophisticated and advanced programs, platforms, and instruments. Furthermore, aspects such as climate change and the presence of alien toxigenic species are significantly exacerbating the problem of mycotoxins at a global level, highlighting the need to exchange knowledge and technologies related to risk assessment and possible prevention and control solutions for the significant problem of food safety and food security posed by mycotoxins. The challenges we face, the scientific commitment of researchers, and the transferability of their products are fundamental for a sustainable agro-food future at a global level, with a particular focus on third-world countries and the most vulnerable population groups that are most exposed to the risk of mycotoxins.

Therefore, we hope that agronomists, mycologists, plant pathologists, chemists, plant breeders, food microbiologists, toxicologists, veterinarians, and other relevant experts can participate in this Special Issue with their significant scientific contributions. We are confident that the advanced knowledge presented in this Special Issue will contribute significantly to the scientific and technological progress in this important area, such as food safety, with particular regard to mycotoxins.        

Dr. Antonio F. Logrieco
Prof. Dr. Peiwu Li
Guest Editors

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Keywords

  • detection of mycotoxins
  • risk assessment
  • toxigenic fungi
  • food/feed safety
  • mycotoxin remediation
  • sustainable management
  • plant-fungi interactions
  • human/animal health
  • emerging mycotoxins
  • prevention and control of fungi and mycotoxins

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Published Papers (2 papers)

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Research

20 pages, 2358 KB  
Article
Impact of Aspergillus flavus Infection on the Rhizosphere Bacterial Microbiota of Peanut (Arachis hypogaea L.)
by Qiujun Lin, Xianxin Wu, Lina Li, Tianshu Peng, Xun Zou, Guang Li, Jianzhong Wang, Xiaoqian Tang, Xiaofeng Yue, Chunjing Guo and Peiwu Li
Toxins 2026, 18(3), 131; https://doi.org/10.3390/toxins18030131 - 5 Mar 2026
Viewed by 509
Abstract
This study investigated the effects of inoculating peanuts with two Aspergillus flavus strains (Aspergillus flavus CGMCC 3.4408 and A. flavus LNZW 23) on plant growth and the rhizosphere bacterial community. Infection significantly inhibited peanut growth. By 60 days post-inoculation (dpi), plant height [...] Read more.
This study investigated the effects of inoculating peanuts with two Aspergillus flavus strains (Aspergillus flavus CGMCC 3.4408 and A. flavus LNZW 23) on plant growth and the rhizosphere bacterial community. Infection significantly inhibited peanut growth. By 60 days post-inoculation (dpi), plant height in inoculated groups (CGMCC 3.4408, 26.4 cm; LNZW 23, 25.5 cm) was significantly lower than in the non-inoculated control (CK, 32.3 cm), with concomitant significant reductions in shoot and root biomass. Analysis of rhizosphere microbiota revealed that early infection (7 dpi) reduced bacterial species richness and phylogenetic diversity. Beta diversity analysis (PCoA) confirmed a significant divergence in microbial community structure between inoculated and control groups over time, with a statistically significant difference also observed between the two inoculated strains (p = 0.016). In terms of community composition, Proteobacteria, Acidobacteriota, and Actinobacteria were the three dominant phyla. At the genus level, infection altered the relative abundance of key taxa; genera such as KD4-96, Vicinamibacteraceae, and RB41 decreased at 7 dpi, while Sphingomonas remained relatively stable. By 60 dpi, community dominance increased, marked by rising abundances of Actinobacteria and Proteobacteria. In conclusion, A. flavus infection not only suppresses peanut growth but also persistently alters its rhizosphere microbial community, with effects demonstrating both time-dependency and strain-specificity. Full article
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17 pages, 1066 KB  
Article
Simultaneous Quantification of Fumonisins and Their Hydrolyzed Metabolites in Donkey Matrices: A Tool for Exposure Assessment and Toxicokinetic Studies
by Dongying Tian, Yunduo Zheng, Yandong Li, Qianwen Xing, Gang Lin, Ronghua Zhu, Quigang Ma, Peilong Wang and Ruiguo Wang
Toxins 2026, 18(2), 80; https://doi.org/10.3390/toxins18020080 - 4 Feb 2026
Viewed by 581
Abstract
A novel, sensitive, and robust LC-MS/MS method was developed and fully validated for the simultaneous determination of fumonisins (FB1, FB2, FB3) and their hydrolyzed metabolites (HFB1, HFB2, HFB3) in donkey plasma, [...] Read more.
A novel, sensitive, and robust LC-MS/MS method was developed and fully validated for the simultaneous determination of fumonisins (FB1, FB2, FB3) and their hydrolyzed metabolites (HFB1, HFB2, HFB3) in donkey plasma, urine, and feces—three critical matrices for toxicokinetic studies. Sample preparation was optimized for each matrix: salting-out assisted liquid–liquid extraction (SALLE) with perchloric acidification for urine and feces, and a dilute–evaporate–shoot (DES) approach for plasma. Chromatographic separation was achieved on a BEH C18 column with water-ACN containing 0.5% formic acid. The method demonstrated excellent linearity (R2 ≥ 0.99), acceptable accuracy (mean recoveries: 73.3–111.5%), and good precision (intra- and inter-day RSDs < 20%). The limits of quantification (LOQ) for FBs and HFBs were 0.1–0.15 μg/L in plasma, 1.0 μg/L in urine, and 60 μg/kg in feces. To our knowledge, this is the first reported method capable of quantifying this comprehensive panel of analytes across multiple biological matrices in donkeys, providing an essential tool for future exposure assessments and pharmacokinetic research in this species. Full article
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