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.

Identification of different Fusarium spp. through mVOCS profiling by means of proton-transfer-reaction time-of-flight (PTR-TOF-MS) analysis / Infantino, A.; Costa, C.; Aragona, M.; Reverberi, M.; Taiti, C.; Mancuso, S.. - In: JOURNAL OF PLANT PATHOLOGY. - ISSN 1125-4653. - 99:3(2017), pp. 663-669. [10.4454/jpp.v99i3.3953]

Identification of different Fusarium spp. through mVOCS profiling by means of proton-transfer-reaction time-of-flight (PTR-TOF-MS) analysis

Reverberi M.;
2017

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.
2017
volatile organic compounds; fungi; diagnosis; mycotoxins; multivariate class-modeling
01 Pubblicazione su rivista::01a Articolo in rivista
Identification of different Fusarium spp. through mVOCS profiling by means of proton-transfer-reaction time-of-flight (PTR-TOF-MS) analysis / Infantino, A.; Costa, C.; Aragona, M.; Reverberi, M.; Taiti, C.; Mancuso, S.. - In: JOURNAL OF PLANT PATHOLOGY. - ISSN 1125-4653. - 99:3(2017), pp. 663-669. [10.4454/jpp.v99i3.3953]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1685265
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