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Comparison of different exposute assessment methods to estimate the... (2011)

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Title Comparison of different exposute assessment methods to estimate the long-term dietary exposure to dioxins and ochratoxin A
Published in Food and Chemical Toxicology, Vol. 49, No. 9, p.1979-1988. ISSN 0278-6915.
Author Boon, P.E.; Bonthuis, M.; Voet, van der H.; Klaveren, van J.D.
Date 2011
Reference(s) Biometris, RIKILT - V&G Databanken Risicoschatting & Ketenmanagement
Language English
Type Article
Abstract Long-term exposures to dioxins (PCCD/F and dioxin-like PCBs) and ochratoxin A were calculated using food consumption data of the European concise database combined with concentration data of the Netherlands (NL) using a deterministic approach. To refine these assessments, exposures were also calculated using three long-term exposure models, observed individual means (OIM), Iowa State University Foods (ISUF), and betabinomial-normal (BBN) models, combined with individual food consumption data of NL. BBN and ISUF correct the variation in long-term exposure for the within-person variation, whereas OIM calculates the mean exposure over the days in the food consumption survey. Exposures obtained with the concise database were highest, and those obtained with OIM higher than with BBN and ISUF. Contribution of the major sources of exposure differed between the concise database and the three models. Given the constraints of the concise database, exposures obtained with this database should be interpreted as a first tier assessment. Preferably, refined assessments using models that correct the variation in long-term exposure for the within-person variation combined with individual food consumption data and national concentration data should be used to assess the long-term exposure. We recommend the use of BBN since it can model exposure distributions that depend on covariates
Publication http://library.wur.nl/WebQuery/wurpubs/408891
OpenURL Search this publication in (your) library
Persistent Identifier urn:nbn:nl:ui:32-408891
Metadata XML
Repository Wageningen University & Research Centre

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