Literature DB >> 25113625

A semi-probabilistic modelling approach for the estimation of dietary exposure to phthalates in the Belgian adult population.

T Fierens1, A Standaert2, C Cornelis2, I Sioen3, S De Henauw4, H Willems2, M Bellemans5, M De Maeyer5, M Van Holderbeke2.   

Abstract

In this study, a semi-probabilistic modelling approach was applied for the estimation of the long-term human dietary exposure to phthalates--one of world's most used families of plasticisers. Four phthalate compounds were considered: diethyl phthalate (DEP), di-n-butyl phthalate (DnBP), benzylbutyl phthalate (BBP) and di(2-ethylhexyl) phthalate (DEHP). Intake estimates were calculated for the Belgian adult population and several subgroups of this population for two considered scenarios using an extended version of the EN-forc model. The highest intake rates were found for DEHP, followed by DnBP, BBP and DEP. In the Belgian adult population, men and young adults generally had the highest dietary phthalate intake estimates. Nevertheless, predicted dietary intake rates for all four investigated phthalates were far below the corresponding tolerable daily intake (TDI) values (i.e. P99 intake values were 6.4% of the TDI at most), which is reassuring because adults are also exposed to phthalates via other contamination pathways (e.g. dust ingestion and inhalation). The food groups contributing most to the dietary exposure were grains and grain-based products for DEP, milk and dairy products for DnBP, meat and meat products or grains and grain-based products (depending on the scenario) for BBP and meat and meat products for DEHP. Comparison of the predicted intake results based on modelled phthalate concentrations in food products with intake estimates from other surveys (mostly based on measured concentrations) showed that the extended version of the EN-forc model is a suitable semi-probabilistic tool for the estimation and evaluation of the long-term dietary intake of phthalates in humans.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adults; Belgium; Dietary exposure assessment; EN-forc model; Phthalates; Semi-probabilistic modelling approach

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Year:  2014        PMID: 25113625     DOI: 10.1016/j.envint.2014.07.017

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  3 in total

1.  Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China.

Authors:  Xin He; Jiajie Zang; Ping Liao; Yang Zheng; Ye Lu; Zhenni Zhu; Yan Shi; Wenjing Wang
Journal:  Int J Environ Res Public Health       Date:  2019-04-16       Impact factor: 3.390

2.  Association between Urinary Phthalate Metabolites and Markers of Endothelial Dysfunction in Adolescents and Young Adults.

Authors:  Po-Ching Chu; Charlene Wu; Ta-Chen Su
Journal:  Toxics       Date:  2021-02-06

3.  Analysis of Pollution of Phthalates in Pork and Chicken in Taiwan Using Liquid Chromatography-Tandem Mass Spectrometry and Assessment of Health Risk.

Authors:  Ming-Yang Tsai; Chang-Hsun Ho; Hong-You Chang; Wei-Cheng Yang; Chuen-Fu Lin; Chien-Teng Lin; Yi-Jing Xue; Jyh-Mirn Lai; Jiann-Hsiung Wang; Geng-Ruei Chang
Journal:  Molecules       Date:  2019-10-23       Impact factor: 4.411

  3 in total

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