Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [116158] |
Development of a nutrient database and distributions for use in a probabilistic risk-benefit analysis of human seafood consumption
Sioen, I.; De Henauw, S.; Verdonck, F.; Van Thuyne, N.; Van Camp, J. (2007). Development of a nutrient database and distributions for use in a probabilistic risk-benefit analysis of human seafood consumption. J. food compos. anal. (Print) 20(8): 662-670. https://dx.doi.org/10.1016/j.jfca.2006.11.001
In: Journal of Food Composition and Analysis. Elsevier: San Diego. ISSN 0889-1575; e-ISSN 1096-0481, meer
|  |
| Trefwoorden |
Databases
Food > Human food
Food > Human food > Seafood
Risks
Marien/Kust |
| Author keywords |
nutrient database; docosahexaenoic acid (DHA); eicosapentaenoic acid(EPA); vitamin D; fish |
| Auteurs | | Top |
|
- Van Thuyne, N.
- Van Camp, J., meer
|
|
| Abstract |
Human consumption of seafood can be promoted because of its positive health effects. Conversely, it is a source of chemical contaminants. Due to this dilemma, a probabilistic intake assessment of nutrients and contaminants via seafood is of interest to provide more detailed information. A key component of such an assessment is the selection of the most appropriate input distributions to describe the consumption and concentration data. This paper describes the construction of a nutrient database, pooling vitamin D and omega-3 fatty acid concentrations in seafood from different publications and the encountered problems related to a lack or inconsistency of information given in these publications: food description, number of samples, sampling plan, sources of the values, limit of quantification (LOQ), etc. Different solutions have been proposed and the study resulted in a huge database allowing the description of distributions of vitamin D, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) concentration and their variability in 34 seafood species relevant for Belgian consumption. The distribution fitting and selection procedure resulted in different models for the different species and nutrients. The normal and lognormal distributions are most frequently used, followed by the uniform, beta and loglogistic distribution. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
