Author(s): Nešić Ksenija
Keywords:climate changes, food safety, fungal toxins, predictive modeling
Although mycotoxins occur worldwide and represent a global public health threat, their prevalence and quantities in food and feed may vary due to geographic and climatic differences. Also, in accordance with climate change, outside temperatures that are anticipated to rise and rainfall patterns modify the usual mycotoxicological scheme transforms and unexpectedly extreme events happen in practice more often. Such weather conditions increase fungal occurrence and mycotoxin concentrations in crops. Consequently, the risk to human and animal health grows, and strategies to alleviate adverse effects become more complex. This also elevates economic losses. Therefore, the task of mycotoxin prediction has been put in front of the multidisciplinary scientific community recently, and a targeted prevention has become more important. This paper is a review of the latest achievements in this field prepared with the aim to summarize and integrate available data.
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