Document Detail

The use of food consumption data in assessments of exposure to food chemicals including the application of probabilistic modelling.
MedLine Citation:
PMID:  12002785     Owner:  NLM     Status:  MEDLINE    
Emphasis on public health and consumer protection, in combination with globalisation of the food market, has created a strong demand for exposure assessments of food chemicals. The food chemicals for which exposure assessments are required include food additives, pesticide residues, environmental contaminants, mycotoxins, novel food ingredients, packaging-material migrants, flavouring substances and nutrients. A wide range of methodologies exists for estimating exposure to food chemicals, and the method chosen for a particular exposure assessment is influenced by the nature of the chemical, the purpose of the assessment and the resources available. Sources of food consumption data currently used in exposure assessments range from food balance sheets to detailed food consumption surveys of individuals and duplicate-diet studies. The fitness-for-purpose of the data must be evaluated in the context of data quality and relevance to the assessment objective. Methods to combine the food consumption data with chemical concentration data may be deterministic or probabilistic. Deterministic methods estimate intakes of food chemicals that may occur in a population, but probabilistic methods provide the advantage of estimating the probability with which different levels of intake will occur. Probabilistic analysis permits the exposure assessor to model the variability (true heterogeneity) and uncertainty (lack of knowledge) that may exist in the exposure variables, including food consumption data, and thus to examine the full distribution of possible resulting exposures. Challenges for probabilistic modelling include the selection of appropriate modes of inputting food consumption data into the models.
Joyce Lambe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Proceedings of the Nutrition Society     Volume:  61     ISSN:  0029-6651     ISO Abbreviation:  Proc Nutr Soc     Publication Date:  2002 Feb 
Date Detail:
Created Date:  2002-05-10     Completed Date:  2002-10-08     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7505881     Medline TA:  Proc Nutr Soc     Country:  England    
Other Details:
Languages:  eng     Pagination:  11-8     Citation Subset:  IM    
Institute of European Food Studies, Biotechnology Institute, Trinity College, Dublin, Republic of Ireland.
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MeSH Terms
Consumer Product Safety*
Drug Residues / analysis
Environmental Exposure
Food Additives / analysis
Food Analysis*
Food Contamination / analysis
Models, Theoretical
Public Health
Statistics as Topic
Reg. No./Substance:
0/Food Additives

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