• Title of article

    Determination of Cu, Mn, Ni and Sn in gasoline by electrothermal vaporization inductively coupled plasma mass spectrometry, and emulsion sample introduction

  • Author/Authors

    SaintʹPierre، نويسنده , , Tatiana D. and Dias، نويسنده , , Lْcia Felicidade and Pozebon، نويسنده , , Dirce and Aucélio، نويسنده , , Ricardo Q. and Curtius، نويسنده , , Adilson J. and Welz، نويسنده , , Bernhard، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2002
  • Pages
    11
  • From page
    1991
  • To page
    2001
  • Abstract
    Trace metals in fuels, except in the case of additives, are usually undesirable and normally they occur in very low concentrations in gasoline, requiring sensitive techniques for their determination. Coupling of electrothermal vaporization with inductively coupled plasma mass spectrometry minimizes the problems related to the introduction of organic solvents into the plasma. Furthermore, sample preparation as oil-in-water emulsions reduces problems related to gasoline analysis. In this work, a method for determination of Cu, Mn, Ni and Sn in gasoline is proposed. Samples were prepared by forming a 10-fold diluted emulsion with a surfactant (Triton X-100), after treatment with concentrated HNO3. The sample emulsion was pre-concentrated in the graphite tube by repeated pipetting and drying. External calibration was used with aqueous standards in a purified gasoline emulsion. Six samples from different gas stations were analyzed, and the analyte concentrations were found to be in the μg l−1 range or below. The limits of detection were 0.22, 0.02, 0.38 and 0.03 μg l−1 for Cu, Mn, Ni and Sn, respectively. The accuracy of the method was estimated using a recovery test.
  • Keywords
    Trace elements , Gasoline , Electrothermal vaporization inductively coupled plasma mass spectrometry (ETV-ICP-MS) , emulsion
  • Journal title
    Spectrochimica Acta Part B Atomic Spectroscopy
  • Serial Year
    2002
  • Journal title
    Spectrochimica Acta Part B Atomic Spectroscopy
  • Record number

    1679419