• Title of article

    Authentication of milk and milk-based foods by direct analysis in real time ionization–high resolution mass spectrometry (DART–HRMS) technique: A critical assessment

  • Author/Authors

    Hrbek، نويسنده , , Vojtech and Vaclavik، نويسنده , , Lukas and Elich، نويسنده , , Ondrej and Hajslova، نويسنده , , Jana، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    138
  • To page
    145
  • Abstract
    The potential of direct analysis in real time (DART) ambient ionization technique coupled with high resolution mass spectrometry (HRMS) in authentication of milk and dairy products was critically assessed. In particular case, DART–HRMS was used for several scenarios: (i) discrimination among milks obtained from various farm animal species (cow, goat, and sheep), (ii) discrimination between cowsʹ milk produced in conventional and organic farming, and, (iii) detection of vegetable oil added to a milk-based product (soft cheese). For this purpose, a rapid profiling procedure based on examination of milk/cheese toluene extracts, was implemented. The obtained triacylglycerol (TAG) profiles (mass spectra) were processed with principal component analysis (PCA) and linear discriminant analysis (LDA). Based on LDA model, reliable differentiation of cowsʹ milk samples and goatsʹ/sheepʹs milk was possible. The DART–HRMS procedure also allowed distinguishing milk mixtures prepared at adulteration level of 50% (v/v). The capability to recognize milk from conventional and organic farming was rather low, poor classification rates of the LDA model were obtained. On the other hand, reliable detection of the presence of vegetable oils (rapeseed, sunflower, and soybean), added to soft cheese at amount as low as 1% (w/w), was possible. Additionally, the quality of added oil in terms of degree of its oxidation could be documented.
  • Keywords
    milk , dairy products , authenticity , mass spectrometry , Direct analysis in real time
  • Journal title
    Food Control
  • Serial Year
    2014
  • Journal title
    Food Control
  • Record number

    1949038