Blog
About

4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Modelling aggregate exposure to pesticides from dietary and crop spray sources in UK residents

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Human exposure to pesticide mixtures can occur from the diet and other sources. Realistic exposure and risk assessments should include multiple sources and compounds and include the relative hazards of the different compounds. The EU-funded Euromix project is developing new web-based tools to facilitate these calculations. A case study is presented that exemplifies their use for a population of UK residents, including exposure from crop-spraying. A UK pesticide usage survey provided information on real pesticide combinations applied to crops of wheat, potatoes, sugar beet and dessert apples. This information was combined with outputs from two alternative simulation models of spray drift to estimate dermal, oral and inhalation exposures of residents. These non-dietary exposures were combined with dietary exposure estimates using the Monte Carlo Risk Assessment software to produce a distribution of aggregated and cumulative exposures. Compounds are weighted by relative potency to generate a measure of overall risk. Uncertainty quantification was also included in the distribution of exposures. These tools are flexible to allow diverse sources of exposure and can provide important information to decision-makers and help to prioritise testing of pesticide mixtures. Including non-dietary sources changed the prioritisation of pesticide mixtures, when compared to dietary exposure alone.

          Electronic supplementary material

          The online version of this article (10.1007/s11356-019-04440-7) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references 15

          • Record: found
          • Abstract: not found
          • Article: not found

          Guidance on selected default values to be used by the EFSA Scientific Committee, Scientific Panels and Units in the absence of actual measured data

          (2012)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Evaluation of the FoodEx, the food classification system applied to the development of the EFSA Comprehensive European Food Consumption Database

            (2011)
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Standard sample description for food and feed

                (2010)
                Bookmark

                Author and article information

                Contributors
                +44 1904 462175 , Marc.kennedy@fera.co.uk
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                8 February 2019
                8 February 2019
                2019
                : 26
                : 10
                : 9892-9907
                Affiliations
                [1 ]ISNI 0000 0004 5903 2525, GRID grid.470556.5, Fera Science Ltd, ; Sand Hutton, York, YO41 1LZ UK
                [2 ]ISNI 0000 0001 0791 5666, GRID grid.4818.5, Wageningen University & Research, Biometris, ; Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
                Author notes

                Responsible editor: Philippe Garrigues

                4440
                10.1007/s11356-019-04440-7
                6469822
                30734911
                © The Author(s) 2019

                OpenAccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 633172, H2020-SFS-2014-2
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2019

                Comments

                Comment on this article