Early prediction of wheat quality: analysis during grain development using mass spectrometry and multivariate data analysis

A. Ghirardo, Helle Aagaard Sørensen, M. Petersen, S. Jacobsen, L. Sondergaard

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry and multivariate data analysis have been used for the determination of wheat quality at different stages of grain development. Wheat varieties with one of two different end-use qualities (i.e. suitable or not suitable for bread-making purposes) were investigated. The samples were collected from grains from 15 until 45 days post-anthesis (dpa). Gluten proteins from wheat grains were extracted and subsequently analysed by mass spectrometry. Discrimination partial least-squares regression and soft independent modelling of class analogy were used to determine the quality of new and unknown wheat samples. With these methods, we were able to predict correctly the end-use qualities at every stage investigated. This new fast technique, based on the rapidity of mass spectrometry combined with the objectivity of multivariate data analysis, offers a method that can replace the traditional rather time-consuming ones such as gel electrophoresis. This study focused on the determination of wheat quality at 15 dpa, when the grain is due for harvest 1 month later.
    Original languageEnglish
    JournalRapid Communications in Mass Spectrometry
    Volume19
    Issue number4
    Pages (from-to)525-532
    ISSN0951-4198
    Publication statusPublished - 2005

    Fingerprint Dive into the research topics of 'Early prediction of wheat quality: analysis during grain development using mass spectrometry and multivariate data analysis'. Together they form a unique fingerprint.

    Cite this