The European grain industry is facing a shift in how it manages mycotoxins. The latest COCERAL Mycotoxins Management Survey 2025 shows that not only are the levels of individual toxins changing, but so is the overall mycotoxin profile of grain lots. In particular, the combination of multiple toxins (co-contaminations) is receiving greater attention.
The study is based on a survey of European market participants and represents approximately 86 million metric tons of traded grain. A key finding: 93% of the companies surveyed conduct regular mycotoxin testing. The most important crops monitored are corn, wheat, and barley.
While individual key parameters such as DON, zearalenone, or aflatoxin B1 were previously the main focus, today’s situation presents a much more complex picture. Multiple mycotoxins are increasingly being detected simultaneously in a single batch.
Typical combinations include:
This development makes risk assessment more challenging, as it is no longer sufficient to consider individual maximum limits alone. Increasingly, the overall contamination profile of a batch is becoming the decisive factor.
The COCERAL survey shows that climate change is considered one of the most important drivers of future mycotoxin risks.
Particularly highlighted are:
The industry expects stricter requirements to result in:
The results of the COCERAL study demonstrate that assessing individual mycotoxins alone will often no longer be sufficient in the future. As the importance of co-contaminations continues to grow, so does the need for analytical solutions capable of detecting multiple relevant mycotoxins simultaneously and providing a more comprehensive picture of contamination.
This is exactly where SAFIA’s multiplex assays come into play. They enable the parallel detection of selected mycotoxins in a single analysis, supporting an efficient assessment of complex mycotoxin profiles. This is particularly valuable for screening raw materials and grain batches where multiple toxins may occur simultaneously, providing a reliable basis for decision-making in quality and risk management.
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