• Title of article

    Development of a highly sensitive enzyme-linked immunosorbent assay for atrazine Performance evaluation by flow injection immunoassay

  • Author/Authors

    Jordi Gasc?n، نويسنده , , Anna Oubi?a، نويسنده , , Berta Ballesteros، نويسنده , , Damià Barcelo، نويسنده , , Francisco Camps، نويسنده , , Maria-Pilar Marco، نويسنده , , Miguel Angel Gonz?lez-Mart?nez، نويسنده , , Sergi Morais، نويسنده , , Rosa Puchades، نويسنده , , Angel Maquieira، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1997
  • Pages
    14
  • From page
    149
  • To page
    162
  • Abstract
    Specific polyclonal antibodies to the herbicide atrazine (6-chloro-N-ethyl-N′-isopropyl-1,3,5-triazine-2,4-diamine) have been raised by immunizing three New Zealand rabbits. With the antisera (As) a highly sensitive enzyme-linked immunosorbent assays (ELISA) has been developed to determine atrazine in water samples. Several usable competitive immunoassays have been obtained by screening a battery of nine enzyme tracers (ETs) and three antisera. The optimized ELISA presents an IC50 of 0.28 nM (60 ng l−1) and a detection limit of 0.043 nM (9 ng l−1). Cross-reactivity studies have proved that the immunoassay is specific for atrazine while other triazine compounds are only detected on a minor extent. The flow injection immunoanalysis (FIIA) method has an IC50 of 2 nM (0.47 μg l−1) reaching a detection limit of 0.35 nM (75 ng l−1). The performance of both methods has been evaluated by analyzing water samples containing mixtures of atrazine and other pesticides at the ppb level. For this purpose two candidate reference materials have been used (A and B) and a spiked sample stored on Empore disks (sample C). A close correspondence was found between the results obtained with both immunochemical techniques.
  • Keywords
    Optimization , ELISA , validation , Immunoassay , Atrazine , FIIA
  • Journal title
    Analytica Chimica Acta
  • Serial Year
    1997
  • Journal title
    Analytica Chimica Acta
  • Record number

    1024566