Animal dietary exposure: overview of current approaches used at EFSA.

Animal dietary exposure EU catalogue of feed materials FoodEx2 system Harmonised OECD tables of feedstuffs feed classification feed intake

Journal

EFSA journal. European Food Safety Authority
ISSN: 1831-4732
Titre abrégé: EFSA J
Pays: United States
ID NLM: 101642076

Informations de publication

Date de publication:
Nov 2019
Historique:
entrez: 7 7 2020
pubmed: 7 7 2020
medline: 7 7 2020
Statut: epublish

Résumé

At EFSA, animal dietary exposure estimates are undertaken by several Panels/Units to assess the risk of feed contaminants, pesticide residues, genetically modified feed and feed additives. Guidance documents describing methodologies for animal dietary exposure assessment are available both at EFSA and international levels. Although appropriate within pertinent regulatory frameworks, the methodologies used to assess animal dietary exposure vary across risk assessment areas. There are different approaches ranging from quick worst-case estimations to more refined methods assessing actual exposure, resulting from the use of a heterogeneous selection of animal populations and default values to estimate feed intake. Furthermore, current feed classification systems in place at international and national levels contain a large and heterogeneous number of feed materials, which may benefit from further harmonisation efforts. This technical report presents an overview of the current approaches in place at EFSA to assess the exposure to chemicals in feed. The possibility for a greater harmonisation of feed classification and terminology is also addressed by comparing the structure of the

Identifiants

pubmed: 32626181
doi: 10.2903/j.efsa.2019.5896
pii: EFS25896
pmc: PMC7008838
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e05896

Informations de copyright

© 2019 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.

Références

J Sci Food Agric. 2016 Mar 30;96(5):1415-9
pubmed: 26749492

Auteurs

Classifications MeSH