Mycotoxins are fungal metabolites commonly occurring in food, which pose a health risk to the consumer. Maximum levels for major mycotoxins allowed in food have been established worldwide. Good agricultural practices, plant disease management, and adequate storage conditions limit mycotoxin levels in the food chain yet do not eliminate mycotoxins completely. Food processing can further reduce mycotoxin levels by physical removal and decontamination by chemical or enzymatic transformation of mycotoxins into less toxic products. Physical removal of mycotoxins is very efficient: manual sorting of grains, nuts, and fruits by farmers as well as automatic sorting by the industry significantly lowers the mean mycotoxin content. Further processing such as milling, steeping, and extrusion can also reduce mycotoxin content. Mycotoxins can be detoxified chemically by reacting with food components and technical aids; these reactions are facilitated by high temperature and alkaline or acidic conditions. Detoxification of mycotoxins can also be achieved enzymatically. Some enzymes able to transform mycotoxins naturally occur in food commodities or are produced during fermentation but more efficient detoxification can be achieved by deliberate introduction of purified enzymes. We recommend integrating evaluation of processing technologies for their impact on mycotoxins into risk management. Processing steps proven to mitigate mycotoxin contamination should be used whenever necessary. Development of detoxification technologies for high-risk commodities should be a priority for research. While physical techniques currently offer the most efficient post-harvest reduction of mycotoxin content in food, biotechnology possesses the largest potential for future developments.

Exploitation of the molecular recognition properties of a given receptor in analytical applications requires mastering of specific host-guest interactions at interfaces. This review outlines the issues involved in turning P V -bridged cavitands into selective layers for mass sensors, as a case study for gassolid interfaces. The specific interactions operating at each phase level can be ferreted out by use of MS and crystallographic analyses, respectively. Their influence on sensor selectivity can be enhanced by exposure of the guest (analyte)

Fusarium mycotoxins are a relevant problem in the cereal supply chain at a worldwide level, with wheat, maize and barley being the main contaminated crops. Mould growth can happen in the pre-harvest phase and also during transport and storage due to ineffective drying conditions. Among Fusarium toxins, deoxynivalenol (DON) is considered the most important contaminant in wheat due to its widespread occurrence. In the last years the European Food Safety Authority (EFSA) and the European Commission have frequently expressed opinions on Fusarium toxins, setting limits, regulations and guidelines in order to reduce their levels in raw materials and food commodities. In particular, European legislation (Reg. 1881/2006) sets the maximum limit for DON in flour and bread as 750 and 500 microg kg(-1) respectively. Relatively few studies have taken into account the loss of trichothecenes during processing, focusing on how processing factors may influence their degradation. In particular, the description of DON behaviour during bread-making is very difficult, since complex physico-chemical modifications occur during the transformation of the raw ingredients into the final product. In the present study, we studied how DON concentration may be influenced by modifying bread-making parameters, with a special emphasis on the fermentation and baking stages, starting from a naturally contaminated flour at both pilot and industrial scales. Exploiting the power of a Design of Experiments (DoE) approach to consider the great complexity of the studied system, the obtained model shows satisfying goodness-of-fit and prediction, suggesting that the baking step (time/temperature ranges) is crucial for minimizing native DON level in bread.

Phosphonate cavitands are an emerging class of synthetic receptors for supramolecular sensing. The molecular recognition properties of the third-generation tetraphosphonate cavitands toward alcohols and water at the gas-solid interface have been evaluated by means of three complementary techniques and compared to those of the parent mono- and diphosphonate cavitands. The combined use of ESI-MS and X-ray crystallography defined precisely the host-guest association at the interface in terms of type, number, strength, and geometry of interactions. Quartz crystal microbalance (QCM) measurements then validated the predictive value of such information for sensing applications. The importance of energetically equivalent multiple interactions on sensor selectivity and sensitivity has been demonstrated by comparing the molecular recognition properties of tetraphosphonate cavitands with those of their mono- and diphosphonate counterparts.

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