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

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...

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Bibliographic Details
Published in:Food and chemical toxicology 2009-12, Vol.47 (12), p.2890-2898
Main Authors: Boon, Polly E., Svensson, Kettil, Moussavian, Shahnaz, van der Voet, Hilko, Petersen, Annette, Ruprich, Jiri, Debegnach, Francesca, de Boer, Waldo J., van Donkersgoed, Gerda, Brera, Carlo, van Klaveren, Jacob D., Busk, Leif
Format: Article
Language:English
Subjects:
Concentration data
Databases, Factual
Diet Surveys
Eating
Electronic platform
Environmental Exposure
Europe
Food consumption data
Harmonisation
Humans
Models, Statistical
Pesticide Residues
Probabilistic modelling
residues
risk-assessment
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Summary: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.
ISSN:0278-6915
1873-6351
DOI:10.1016/j.fct.2009.01.040