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Volatile metabolites from the headspace of onion bulbs inoculated with postharvest pathogens as a tool for disease discrimination
48
Citations
23
References
2005
Year
Disease DiscriminationPhytotoxicityMedicineVolatile MetabolitesMass SpectrometryDiscriminant Analysis ModelsSecondary MetabolitePlant PathologyToxicologyMicrobiologyPlant HealthFood PreservativesPlant-pathogen InteractionPhytochemistryFood SafetyOnion BulbsHealth Sciences
Gas chromatography and mass spectrometry was used to analyze volatiles in the headspace of 'Fortress' onion bulbs inoculated with Fusarium oxysporum, Botrytis allii, Erwinia carotovora subsp. carotovora, Aspergillus niger, or Penicillium aurantiogriseum. A total of 130 volatile metabolites were detected, of which 28 occurred more than four times in seven replicates and two incubation periods. Out of 28 relatively consistent compounds, 12 compounds were specific to one or more diseases or inoculations. Ethyl cyclobutane was specific to bulbs inoculated with F. oxysporum, while styrene was common to A. niger, E. carotovora subsp. carotovora, and F. oxysporum, with the highest abundance in the latter. N-3-Aminophenyl acetamide was common to E. carotovora subsp. carotovora, P. aurantiogriseum, and the water inoculated control. 2-Azabicyclo[3.2.0]hept-6-ene was detected in bulbs inoculated with A. niger, E. carotovora subsp. carotovora, and P. aurantiogriseum. Discriminant analysis models based on metabolic fingerprints (normalized abundances of 27 relatively consistent metabolites and normalized abundances of 150 mass ions) correctly classified up to 100% of the observations based on resubstitution (models) and up to 100% based on cross-validation, depending on the disease. Factor analysis identified combinations of metabolites to discriminate diseases or inoculations. The disease discriminatory compounds identified as metabolic markers and the discriminant analysis models can be used to discriminate bulb diseases of 'Fortress' onion, at the beginning of or during storage, after further validation under commercial conditions.
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