Document Detail


Making best use of available residue data for acute intake assessment.
MedLine Citation:
PMID:  10983579     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Risk assessment for pesticide residues in food has previously concentrated on chronic intake, probably with the assumption that if the chronic intake is acceptable, acute intake will also be acceptable. Data generation is expensive so we should extract, where possible, information useful for acute intake estimation from supervised residue trials. Residues in individual units of fruit or vegetables are more variable than the residues in composite samples and the distribution in individual units is probably best approximated by a log-normal distribution, but further evidence is needed. Theory provides a method for calculating the variability of replicate composite samples and applying it to individual units. The expected residue in the 95th or 99th percentile single fruits may then be calculated. An example for folpet residues in apples showed that the 95th and 99th percentile apples would contain 1.8 x and 2.3 x the residue in the composite sample, respectively. For abamectin in apples the 95th and 99th percentile factors were 6.7 and 15, respectively. The 95th and 99th percentile factors for azinphos-methyl in apples, based on single apple analysis, were 1.7 and 2.1, respectively.
Authors:
D Hamilton
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Food additives and contaminants     Volume:  17     ISSN:  0265-203X     ISO Abbreviation:  Food Addit Contam     Publication Date:  2000 Jul 
Date Detail:
Created Date:  2000-10-04     Completed Date:  2000-10-04     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8500474     Medline TA:  Food Addit Contam     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  563-8     Citation Subset:  IM    
Affiliation:
Animal & Plant Health Service, Department of Primary Industries, Brisbane, Queensland, Australia. hamiltdj@dpi.qld.gov.au
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical
Food Contamination / statistics & numerical data*
Humans
Pesticide Residues* / analysis
Rosales / chemistry
Vegetables / chemistry
Chemical
Reg. No./Substance:
0/Pesticide Residues

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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