The use of artificial intelligence to improve mycotoxin management: a review.

The management of mycotoxin contamination in the supply chain is continuously evolving in response to growing knowledge about mycotoxins, shifting factors that influence mycotoxin occurrence, and ongoing technological developments. One of the technological developments is the potential for using artificial intelligence (AI) in mycotoxin management. AI can be used in various fields of mycotoxin management, including for predictive modelling of mycotoxins and for analytical detection and analyses.

Transfer of antibiotic residues from digestate-amended soil to edible crops in a circular food production system.

Re-using residual streams can increase the circularity of food systems and therefore increase sustainability. However, besides the re-introduction of useful nutrients, chemical substances can possibly re-enter the food system as well, potentially impacting food and feed safety. For example, antibiotic residues may be present in animal manure or digestate used as fertilizer, and might be subsequently taken up by edible crops.

Categorization of drivers of change for emerging food safety risks.

The emergence of food safety risks can be influenced by various causes, also known as drivers of change. Understanding the characteristics related to the manageability of these drivers and the health impact of their associated hazards is critical for effective food safety management and resource allocation. This study aims to categorize drivers of change for known food safety hazards based on their impact on human health and their manageability.

Impact of aflatoxin B-exposure on the genotoxic potential of larval extracts of the black soldier fly (Hermetia illucens), housefly (Musca domestica) and lesser mealworm (Alphitobius diaperinus).

Aflatoxin B (AFB)-contaminated crops could serve as insect feed without affecting growth and survival of black soldier fly (BSFL), housefly (HFL), and lesser mealworm (LMW) larvae. However, the genotoxic safety of larvae reared on AFB-contaminated substrate remains uncertain. This study assessed the genotoxic effects of larvae reared on 0, 20, and 200 µg/kg AFB spiked substrate through in vitro testing.

Modeling antimicrobial fate in the circular food system.

The livestock sector plays a critical role in the circular food production system, but excessive use of antimicrobials (AMs) in livestock farming can lead to AM residue contamination in human food. CirFSafe, a model framework was developed to predict the fate of five different AMs in a primary circular food production system, comprising mixed farms with arable (maize) and animal (bovine) components. Two bovine exposure scenarios to AMs were simulated: annual constant exposure and a one-off exposure in the first year of circularity.