Uncertainty and variability modelling of chemical exposure through food

Archives of Public Health

Volumn 64, Issue 4, 2006, Pages 159-173

  Verdonck, Frederik A M ^a,b,c   Sioen, I ^a   Baert, K ^a   Van Thuyne, N ^a   Bilau, M ^a   Matthys, C ^a   De Henauw, S ^a   De Meulenaer, B ^a   Devlieghere, F ^a   Van Camp, J ^a   Vanrolleghem, P A ^a   Van Sprang, P ^b   Verbeke, W ^a   Willems, J ^a  

^a GHENT UNIVERSITY   (Belgium)

^b EURAS Belgium   (Belgium)

^c Department of Food Safety and Food Quality ^*  (Belgium)

Author keywords

Monte Carlo method; Risk assessment; Uncertainty

Indexed keywords

EID: 34547730673     PISSN: 07787367     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. EC (European Commission). Communication from the commission on the precautionary principle. COM 2000; 1.
2. EC (European Commission). Commission Directive 93/67 EEC of 20 July 1993, laying down the principles for the assessment of risks to man and the environment of substances notified in accordance vAth Council Directive 67/548/EEC. Official Journal of the European Communities L227.1993.
3. EC (European Commission). Commission Regulation (EC) 1488/94 of 28 June 1994, laying down the principles for the assessment of risks to man and the environment of substances notified in accordance with Council Directive 67/548/EEC. Official Journal of the European Communities L161. 1994.
4. EC (European Commission). Technical Guidance Document in support of Commission Directive 93/67/EEC on risk assessment for new notified substances and Commission Regulation No. 1488/94 on risk assessment for existing substances. Office for Publications of the European Communities. 1996.
5. Vermeire T, Jager T, Janssen G, Bos P, Pieters M. A probabilistic human health risk assessment for environmental exposure to dibutylphthalate. Hum Ecol Risk Ass 2001; 7(6): 1663-79.
6. CEC. Proposal for a regulation of the European Parliament and of the Council concerning the Registration, Evaluation, Authorisation and Restrictions of Chemicals (REACH) establishing a European Chemical Agency and amending Directive 1999/45/EC and Regulation (EC) on Persistent Organic Pollutants'. In COM 2003; 644.
7. EC (European Commission). Regulation (EC) No 178/2002 of the European Parliament and of the Council of 28 January 2002 laying down the general principles and requirements of food law, establishing the European Food Safety Authority and laying down procedures in matters of food safety. Official Journal of the European Communities L31. 2002.
8. Verdonck FAM, Van Sprang P, Vanrolleghem PA. Uncertainty and precaution in European environmental risk assessment. Wat Sci Tech 2005; 52(6): 227-34.
9. Hoffman F and Hammonds F. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. Risk Anal 1994; 14(5): 707-12.
10. van Asselt MBA, Rotmans J. Uncertainty in integrated assessment modelling: from positivism to pluralism. Climate Change 2002; 54: 75-105.
11. Cullen A and Frey H. Probabilistic techniques in exposure assessment. A handbook for dealing with variability and uncertainty in models and inputs. Plenum, New York 1999: 335.
12. WHO. Methodology for exposure assessment of contaminants and toxins in food. www.who.int/fsf. 2000.
13. IGHR (Interdepartmental Group of Health Risk for Chemicals). Guidelines for good exposure assessment practice for human health effects of chemicals. http://www.le.ac.uk/ieh/pdf/CR10.pdf. 2004.
14. Gibney MJ and van der Voet H. Introduction to the Monte Carlo project and the approach to the validation of probabilistic models of dietary exposure to selected food chemicals. Food Add Cont 2003; 20Suppl(1): S1-7.
15. McNamara C, Naddy B, Rohan D and Sexton J. Design, development and validation of software for modeling dietary exposure to food chemicals and nutrients. Food Add Cont 2003; 20Suppl(1): S8-S26.
16. Vrijens B, De Henauw S, Dewettinck K, Talloen W, Goeyens L, Willems JL. Probabilistic intake assessment and body burden estimation of dioxin-like substances in background conditionss and during a short food contamination episode. Food Add Cont 2002; 19(7): 687-700.
17. Tressou J, Crépet A, Bertail P, Feinberg MH, Leblanc JCh. Probabilistic exposure assessment to food chemicals based on extreme value theory. Application to heavy metals from fish and sea products. Food Chem Tox 2004; 42: 1349-58.
18. Joao Paulo M, van der Voet H, Janssen MJW, ter Braak CJF, van Klaveren JD. Risk assessment of dietary exposure to pesticides using a Bayesian method. Post Manag Sci 2006 [in press].
19. Saltelli A, Chan K, Scott EM. Sensitivity Analysis. Wiley Series in Probability and Statistics. ISBN 0-471-99892-3, 2000: 486.
20. Sloen I, Van Camp J, Verdonck F, Van Thuyn De N, Wilems J, Henauw S. How to use secondary data on seafood contamination for probabilistic exposure assessment purposes? Main problems and potential solutions. HERA [in press].
21. Verdonck FAM, Jaworska J, Ibas O & Vanrolleghem PA. Determining environmental standards using bootstrapping, Bayesian and maximum likelihood techniques: a comparative study. Anal Chim Acts 2001; 446 (1-2): 429-38.
22. EPA. Report of the workshop on selecting imput diistributions for probabilistic assessments. U.S. Environmental Protection Agency, Washington, DC, 1999, EPA/630/R-98/004.
23. EPA. Risk assessment guidance for superfund (RAGS): Volume III - Part A. Process for conducting probabilistic risk assessment. U.S. Environmental Protecdon Agency, Washington, DC. 2001.
24. Vose D. Quantitative risk analysis. A guide to Monte Carlo simulation modeling. John Wiley & sons. 1996. 317.
25. Frewer L, Fischer A, Scholderer J, Verbeke W. Food safety and consumer behaviour. In: Jongen W., Meulenberg M (Eds.), Innovation in agri-food systems: Product quality and consumer acceptance, Wageningen: Wageningen Academic Publishers, ISBN 90 769 986 55. 2005: 125-46.