Modelling consumer exposures to nutrients and additives in animal products

• Published in: Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment Vol. 26; no. 1; pp. 2 - 11
• Main Authors: Tennant, D.R, Bequet, P, Jans, D
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 01.01.2009; Taylor & Francis
• Subjects: Adult; Age Factors; Animal Feed - analysis; animal feeding; animal-based foods; Animals; Biological and medical sciences; chemical residues; Child; Child, Preschool; Common Agricultural Policy; dairy products; Diet - statistics & numerical data; dietary exposure; dietary exposure modelling; dietary supplements; eggs; feed additives; Feed and pet food industries; Feeding Behavior; fish products; Food Additives - analysis; Food industries; Fundamental and applied biological sciences. Psychology; Humans; intakes; Iodine - analysis; mathematical models; maximum permissible intake; meat products; Models, Biological; Nutritive Value; poultry products; risk assessment; Risk Assessment - methods; risk factors; Selenium - analysis; veterinary drugs; Xanthophylls - analysis; Europe; risk assessment; Additive; Consumer; intakes; Animal; feed additives; Nutrient; Risk; dietary exposure modelling; Feed
• ISSN: 0265-203X; 1944-0049; 1464-5122; 1944-0057
• DOI: 10.1080/02652030802256333

Current guidelines for assessing human exposures to nutrients and other substances used in animal feed are based on methods used for veterinary pharmaceuticals. These methods assume high-level daily consumption of animal products and do not take account of differences between species or between consuming humans. A more detailed dietary modelling approach is described, which takes these factors into account as well as high-level consumption by different age groups. The proposed approach is evaluated in three case studies, iodine, selenium and astaxanthin, which have previously undergone thorough evaluation by EU authorities. When applied in a tiered approach, the proposed model provides results that are consistent with previous assessments and with results obtained using other modelling techniques. The results indicate that the method has the potential to provide a conservative, reliable and flexible alternative to existing approaches to intake estimation.