• Title of article

    Probabilistic acute dietary exposure assessments to captan and tolylfluanid using several European food consumption and pesticide concentration databases

  • Author/Authors

    Boon، نويسنده , , Polly E. and Svensson، نويسنده , , Kettil and Moussavian، نويسنده , , Shahnaz and van der Voet، نويسنده , , Hilko and Petersen، نويسنده , , Annette and Ruprich، نويسنده , , Jiri and Debegnach، نويسنده , , Francesca and de Boer، نويسنده , , Waldo J. and van Donkersgoed، نويسنده , , Gerda and Brera، نويسنده , , Carlo and van Klaveren، نويسنده , , Jacob D. and Busk، نويسنده , , Lei، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    9
  • From page
    2890
  • To page
    2898
  • Abstract
    Probabilistic dietary acute exposure assessments of captan and tolylfluanid were performed for the populations of the Czech Republic, Denmark, Italy, the Netherlands and Sweden. The basis for these assessments was national databases for food consumption and pesticide concentration data harmonised at the level of raw agricultural commodity. Data were obtained from national food consumption surveys and national monitoring programmes and organised in an electronic platform of databases connected to probabilistic software. The exposure assessments were conducted by linking national food consumption data either (1) to national pesticide concentration data or (2) to a pooled database containing all national pesticide concentration data. We show that with this tool national exposure assessments can be performed in a harmonised way and that pesticide concentrations of other countries can be linked to national food consumption surveys. In this way it is possible to exchange or merge concentration data between countries in situations of data scarcity. This electronic platform in connection with probabilistic software can be seen as a prototype of a data warehouse, including a harmonised approach for dietary exposure modelling.
  • Keywords
    Electronic platform , Harmonisation , Concentration data , Probabilistic modelling , Food consumption data
  • Journal title
    Food and Chemical Toxicology
  • Serial Year
    2009
  • Journal title
    Food and Chemical Toxicology
  • Record number

    2121441