Classification of wheat varieties: Use of two-dimensional gel electrophoresis for varieties that can not be classified by matrix assisted laser desorption/ionization-time of flight-mass spectrometry and an artificial neural network

Susanne Jacobsen, Ljiljana Nesic, Marianne Kjerstine Petersen, Ib Søndergaard

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Analyzing a gliadin extract by matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI- TOF-MS) combined with an artificial neural network (ANN) is a suitable method for identification of wheat varieties. However, the ANN can not distinguish between all different wheat varieties. Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) was applied to three pairs of wheat varieties, which can not be classified correctly by ANN. By 2-D PAGE the varieties in the three pairs can be discriminated and these six wheat varieties can be separated from each other, which could not be separated by MALDI-TOF-MS and NN.
    Original languageEnglish
    JournalElectrophoresis
    Volume22
    Issue number6
    Pages (from-to)1242-1245
    ISSN0173-0835
    Publication statusPublished - 2001

    Keywords

    • protein

    Fingerprint Dive into the research topics of 'Classification of wheat varieties: Use of two-dimensional gel electrophoresis for varieties that can not be classified by matrix assisted laser desorption/ionization-time of flight-mass spectrometry and an artificial neural network'. Together they form a unique fingerprint.

    Cite this