Document Detail


Interpretation of CALUX results in view of the EU maximal TEQ level in milk.
MedLine Citation:
PMID:  18969553     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Analyses of dioxins in food have become increasingly important since the European Commission has enforced maximal toxic equivalent concentration (TEQ) levels in various food and feed products. Screening methodologies are usually used to exempt those samples that are below the maximum permitted limit and that can, therefore, be released to the market. In addition, one needs to select those samples that require confirmation of their dioxin TEQ level. When bioassays are used as screening tools, the interpretation of the obtained results should consider the higher variability and uncertainty associated with them. This paper explores the use of CALUX data as quantitative screening results. The validation of the method for the polychlorinated dibenzo-p-dioxins (PCDD)/F TEQ determination in milk samples is described with emphasis on the decision limit (CC(alpha)) and the precision of the method. The decision limit amounts to 4.53pg TEQ/g fat. Repeatability and within-lab reproducibility coefficients of variation are below 30%. The newly introduced parameter CC(alpha)(*) of 1.47pg TEQ/g fat delimits with CC(alpha) a range of suspicious results. These data are not significantly different from the maximum limit of 3pg TEQ/g fat and should be confirmed by a confirmatory analytical method such as HRGC-HRMS.
Authors:
Ilse Van Overmeire; Joris Van Loco; Peter Roos; Sophie Carbonnelle; Leo Goeyens
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Talanta     Volume:  63     ISSN:  1873-3573     ISO Abbreviation:  Talanta     Publication Date:  2004 Aug 
Date Detail:
Created Date:  2008-10-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984816R     Medline TA:  Talanta     Country:  England    
Other Details:
Languages:  eng     Pagination:  1241-7     Citation Subset:  -    
Affiliation:
Scientific Institute of Public Health, J. Wytsmanstraat 14, 1050 Brussels, Belgium.
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