IDENTIFICATION OF DIFFERENT FUSARIUM spp. THROUGH mVOCS PROFILING BY MEANS OF PROTON-TRANSFER-REACTION TIME-OFFLIGHT (PTR-ToF-MS) ANALYSIS

A. Infantino, C. Costa, M. Aragona, M. Reverberi, C. Taiti, S. Mancuso

Abstract


The microbial volatile organic compounds (mVOCs) profiling of different Fusarium spp. affecting small grain cereals has been analyzed by means of Proton-Transfer-Reaction Time-of-Flight (PTR- 2 ToF-MS). Morphological and sequence analysis of the elongation factor conserved domain allow identifying unequivocally different Fusarium species. Several mVOCs, ranging from 27.022 to 205.195 m/z were revealed. Partial Least Square Discriminant Analysis (PLS-DA) on the whole mVOCs dataset was used to classify the different species of Fusarium. Results showed that PTR-ToFMS profiling of mVOCs is able to distinguish among different Fusarium spp. with percentages of correct classification of 97.8 and 92.6%, in the model/validation dataset and in the independent test set, respectively.

Keywords


fungi; diagnosis; mycotoxins; multivariate class-modeling

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DOI: http://dx.doi.org/10.4454/jpp.v99i3.3953

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