Untargeted metabolomics based on ultra-high-performance liquid chromatography–high-resolution mass spectrometry merged with chemometrics: A new predictable tool for an early detection of mycotoxins

Josep Rubert*, L. Righetti, Milena Stranska-Zachariasova, Zbynek Dzuman, Jana Chrpova, Chiara Dall'Asta, Jana Hajslova

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

58 Citations (Scopus)

Abstract

In order to explore the early detection of mycotoxins in wheat three standardized approaches (Fusarium disease severity, PCR assays for Fusarium spp. identification and mycotoxin quantification) and a novel untargeted metabolomics strategy were jointly assessed. In the first phase of this research, standardized approaches were able to quantify mycotoxins and identify Fusarium spp. Then, an UHPLC-QTOF metabolic fingerprinting method was developed to investigate plant-pathogen cross-talk. At the same time, chemometrics analysis demonstrated to be a powerful tool in order to distinguish low and strong infection levels. Combining these results, the cross-talk plant pathogen related to the early detection of mycotoxins was discovered. As a rapid response to fungal infection an overexpression of phosphatidic acids was discovered. By contrast, when the infection became stronger an increase of oxylipins and diacylglycerols was revealed.

Original languageEnglish
Pages (from-to)423-431
Number of pages9
JournalFood Chemistry
Volume224
DOIs
Publication statusPublished - 1 Jun 2017
Externally publishedYes

Keywords

  • Alkylresorcinols
  • Cereals
  • Lipidomics
  • Liquid chromatography-high resolution mass spectrometry
  • Metabolomics
  • Oxylipins
  • Plant-pathogen cross-talk
  • Wheat

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