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Computational tool for usual intake modelling workable at the European level

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F14%3A00010647" target="_blank" >RIV/75010330:_____/14:00010647 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.sciencedirect.com/science/article/pii/S0278691514004475" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0278691514004475</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.fct.2014.10.019" target="_blank" >10.1016/j.fct.2014.10.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational tool for usual intake modelling workable at the European level

  • Original language description

    In this paper two models present in the computational tool Monte Carlo Risk Assessment (MCRA) were compared for assessing the usual intake of lead in five countries. For this, we used national food consumption data organised according to the format of the European Food Safety Authority (EFSA) Comprehensive database and a single lead concentration database in which analysed commodities were organised according to EFSA's Standard Sampling Description (SSD) system. This meant that both input data were coded according to the hierarchical FoodEx1 classification system. We demonstrate that the naive Observed Individual Means model resulted in more conservative estimates of the exposure in the right tail of the exposure distribution compared to a refined usual intake model, the LogisticNormal-Normal model. With MCRA, the usual intake could be estimated with both models using food consumption and concentration data that were coded according to the hierarchical FoodEx1 classification system dem

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FM - Hygiene

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Food and Chemical Toxicology

  • ISSN

    0278-6915

  • e-ISSN

  • Volume of the periodical

    74

  • Issue of the periodical within the volume

    December

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    279-288

  • UT code for WoS article

    000347274600037

  • EID of the result in the Scopus database