A practical application of probabilistic modelling in assessment of dietary exposure of fruit consumers to pesticide residues

Food Additives and Contaminants

Volumn 17, Issue 7, 2000, Pages 601-610

  Hamey, Paul Y ^a  

^a Pesticides Safety Directorate   (United Kingdom)

Author keywords

(Acute) Dietary Exposure; Consumption Patterns; Probabilistic Simulation; Residue Variability

Indexed keywords

CARBAMIC ACID; CARBARIL; ORGANOPHOSPHATE; PESTICIDE RESIDUE;

ARTICLE; CHILD; CONSUMER; CONTROLLED STUDY; DECISION MAKING; DIETARY INTAKE; EXPOSURE; FOOD CONTAMINATION; FOOD INTAKE; FRUIT; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; PRIORITY JOURNAL; PROBABILITY; RISK ASSESSMENT; SIMULATION; STATISTICAL MODEL;

EID: 0033868491     PISSN: 0265203X     EISSN: 14645122     Source Type: Journal    
DOI: 10.1080/026520300412519     Document Type: Article

References (6)

1. Advisory Committee on Pesticides, 1996, Evaluation on carbaryl No. 155 (York, UK: Advisory Committee on Pesticides, Pesticides Safety Directorate).
2. Advisory Committee on Pesticides, 1997, Unit to unit variation of pesticide residues in fruit and vegetables (York, UK: Advisory Committee on Pesticides, Pesticides Safety Directorate).
3. Gregory, J., Collins, D., Davies, p., Hughes, J., and Clarke, P., 1995, The national dietary and nutritional survey: children aged 1-j to 4j years (London: HMSO).
4. Hill, A. R. C., 2000, Residue variability and sampling—practical problems and consequences for residues monitoring. Food Additives and Contaminants (in press).
5. Lipton, J., Shaw, W.D., Holmes, J., and Paterson, A., 1995, Selecting input distributions for use in Monte Carlo simulations. Regulatory Toxicology and Pharmacology, 21, 192-198.
6. Petersen, B. J., Probabilistic modelling: theory and practice. Food Additives and Contaminants (in press).