title: Probabilistic risk assessment of dietary exposure to single and multiple pesticide residues or contaminants: summary of the work performed within the SAFE FOODS project.
abstract: This introduction to the journal's supplement on probabilistic risk assessment of single and multiple exposure to pesticide residues or contaminants summarizes the objectives and results of the work performed in work package 3 of the EU-funded project SAFE FOODS. Within this work package, we developed an electronic platform of food consumption and chemical concentration databases harmonised at raw agricultural commodity level. In this platform the databases are connected to probabilistic software to allow probabilistic modelling of dietary exposure in a standardised way. The usefulness of this platform is demonstrated in two papers, which describe the exposure to pesticides and glycoalkaloids in several European countries. Furthermore, an integrated probabilistic risk assessment (IPRA) model was developed: a new tool to integrate exposure and effect modelling, including uncertainty analyses. The use of this model was shown in a paper on the cumulative exposure to anti-androgen pesticides. Combined with a health impact prioritization system, developed within this work package to compare heath risks between chemicals, the IPRA tool can also be used to compare health risks between multiple chemicals in complex risk assessment situation such as risk-benefit and risk trade-off analyses. Both the electronic platform of databases as the IPRA model may proof to be powerful tools to tackle the challenges risk managers are or will be faced with in the future.
authors.affiliation: RIKILT - Institute of Food Safety, Wageningen University and Research Centre, Wageningen, The Netherlands. jacob.vanklaveren@wur.nl
authors.forename: Jacob D
authors.initials: JD
authors.lastname: van Klaveren
authors.forename: Polly E
authors.initials: PE
authors.lastname: Boon
mesh_terms: D004781:Environmental Exposure; D005060:Europe; D005506:Food Contamination; D006801:Humans; D015233:Models, Statistical; D010573:Pesticide Residues / Q000032:analysis*; D018570:Risk Assessment / Q000379:methods*
chemical_list: D010573:Pesticide Residues