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Article Abstract

Ergot alkaloids (EA) are mycotoxins produced by Claviceps purpurea which commonly infects various cereal species, compromising food safety. This study evaluates the potential of the electronic nose to reliably predict EA contamination in wheat, demonstrating as a proof-of-concept the ability of this technology combined with supervised techniques to distinguish samples contaminated at levels of interest from compliant samples. In particular, the average value of samples correctly classified using PLS-DA was 95.5 %. Furthermore, a volatilomics approach based on HS-SPME/GC-Orbitrap HRMS and chemometrics was successfully applied for the first time to characterize the volatile compound pattern of wheat samples based on the level of EA contamination paying attention to the secondary volatile metabolites. Overall, a high confidence in compound identification was achieved with sub-1 ppm mass accuracy. Unsupervised PCA was used for discrimination purposes, revealing 19 differential compounds (markers), some of which are released during the growth of Claviceps Purpurea fungi.

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http://dx.doi.org/10.1016/j.foodchem.2025.144455DOI Listing

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