• Title of article

    Evaluation of a molecularly imprinted polymer for determination of steroids in goat milk by matrix solid phase dispersion

  • Author/Authors

    Gaٌلn، نويسنده , , Judith and Morante-Zarcero، نويسنده , , Sonia and Gallego-Picَ، نويسنده , , Alejandrina and Marيa Garcinuٌo، نويسنده , , Rosa and Fernلndez-Hernando، نويسنده , , Pilar and Sierra، نويسنده , , Isabel، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2014
  • Pages
    6
  • From page
    157
  • To page
    162
  • Abstract
    A molecularly imprinted polymer–matrix solid-phase dispersion methodology for simultaneous determination of five steroids in goat milk samples was proposed. Factors affecting the extraction recovery such as sample/dispersant ratio and washing and elution solvents were investigated. The molecularly imprinted polymer used as dispersant in the matrix solid-phase dispersion procedure showed high affinity to steroids, and the obtained extracts were sufficiently cleaned to be directly analyzed. Analytical separation was performed by micellar electrokinetic chromatography using a capillary electrophoresis system equipped with a diode array detector. A background electrolyte composed of borate buffer (25 mM, pH 9.3), sodium dodecyl sulfate (10 mM) and acetonitrile (20%) was used. The developed MIP–MSPD methodology was applied for direct determination of testosterone (T), estrone (E1), 17β-estradiol (17β-E2), 17α-ethinylestradiol (EE2) and progesterone (P) in different goat milk samples. Mean recoveries obtained ranged from 81% to 110%, with relative standard deviations (RSD)≤12%. The molecularly imprinted polymer–matrix solid-phase dispersion method is fast, selective, cost-effective and environment-friendly compared with other pretreatment methods used for extraction of steroids in milk.
  • Keywords
    Matrix solid-phase dispersion , mekc , Molecularly imprinted polymer , Goat milk , Steroids
  • Journal title
    Talanta
  • Serial Year
    2014
  • Journal title
    Talanta
  • Record number

    1671073