• Title of article

    Characterization of arabica and robusta roasted coffee varieties and mixture resolution according to their metal content

  • Author/Authors

    Mart??n، نويسنده , , M.J. and Pablos، نويسنده , , F and Gonz?lez، نويسنده , , A.G، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1999
  • Pages
    6
  • From page
    365
  • To page
    370
  • Abstract
    The metal content of roasted coffee samples belonging to the arabica and robusta varieties and coffee blends has been analysed. Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P, Sr, Zn have been determined by inductively coupled plasma atomic emission spectrometry. Principal component and cluster analysis have been applied to characterize the coffee varieties. P, Mn and Cu have been found to be the most discriminating variables. Partial least squares regression was applied to determine the relative content of each variety in the coffee blends. This method has been applied to determine the percentage of the robusta variety in some commercial roasted coffee samples.
  • Keywords
    Coffee , Pattern recognition , Metals , Chemometrics
  • Journal title
    Food Chemistry
  • Serial Year
    1999
  • Journal title
    Food Chemistry
  • Record number

    1948505