DATASET

Food flavourings, food additives and food contact materials exposure tool

Collection: FACET : Flavourings, Additives, and food Contact materials Exposure Tool 

Description

The JRC's FACET exposure tool is a downloadable software to estimate consumers' exposure to food flavourings, food additives and substances that can migrate from food contact materials into food. It contains databases of chemical concentrations for food flavourings and food additives, industry data on retail packaging composition, chemical occurrence data or their prediction, and food consumption diaries, which are then combined into probabilistic dietary exposure models.

Contact

Email
Eddo.HOEKSTRA (at) ec.europa.eu

Contributors

How to cite

European Commission, Joint Research Centre (JRC) (2017): Food flavourings, food additives and food contact materials exposure tool. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/d3a2fee2-d6c6-4883-9b36-aa466b1d1cc8

Keywords

chemical concentration dietary exposure food additives food contact materials food flavourings

Data access

Dissemination and implementation of the new food safety tool for exposure assessment - Flavourings, Additives and food Contact materials Exposure Tool (FACET)
URL 
  • FACET is a model, dynamic tool which was created in recent years and presented in its dedicated public conference in October 2012. The model is developed with the aim to estimate dietary exposure to flavourings, additives and food contact materials substances and compare the results with available safety limits.

FACET End User Licence Agreement (EULA)
Download 
FACET v3.0.2 Templates
Download 

Additional information

Published by
European Commission, Joint Research Centre
Created date
2019-06-25
Modified date
2019-10-30
Issued date
2017-03-01
Landing page
https://ec.europa.eu/jrc/en/scientific-tool/flavourings-additives-and-food-contact-materials-exposure-tool 
Data theme(s)
Health
Update frequency
irregular
Identifier
http://data.europa.eu/89h/d3a2fee2-d6c6-4883-9b36-aa466b1d1cc8
Popularity