Aggregate exposure assessment

Introduction

The goal of this exercise is to assess aggregate exposure assessment.

Preparation

If you haven’t done so, in the workspace browser (use the  icon), create a new workspace named Examples, using the .

The data files used in the example(s) in this section, are located in the data folder Documentation-Examples / Exercise Aggregate Exposure Assessment.

Example 1

• In the Examples workspace, create a new action (using )

  • Then select  Show all action types, select Exposures

  • Name it exposures

  • At Exposure settings choose:

    • As Risk type Chronic

    • Check  Include dietary and non-dietary routes of exposure

  • Press Create

• Then go to the Actions settings  of this action (path: Exposures)

  • At Scope, click Effects (path: Exposures / Effects)

    • At Effects data source with  browse to the file Effect - Steatosis.xlsx and Select

    • At Effect settings for Focal effect select Steatosis-liver and press  Save Changes

    • In the green navigation bar, click Exposures to go up one level

  • At Scope, click Foods (path: Exposures / Foods)

    • At Foods data source with  browse to the file Foods.xlsx and Select

    • In the green navigation bar, click Exposures to go up one level

  • At Scope, click Substances (path: Exposures / Substances)

    • At Substances data source with  browse to the file Substances.xlsx and Select

    • At Substance settings

      • for Index substance select Cyproconazole and press  Save Changes

    • In the green navigation bar, click Exposures to go up one level

  • At Inputs, click Dietary exposures (path: Exposures / Dietary exposures)

    • At Inputs, click Consumptions by modelled food (path: Exposures / Dietary exposures / Consumptions by modelled food)

      • At Inputs, click Consumptions (path: Exposures / Dietary exposures / Consumptions by modelled food / Consumptions)

        • At Consumptions data source with  browse to the file Consumptions.xlsx and Select

        • At Consumptions data selection with  open the food consumption surveys selection.

          • The file contains two surveys, but only one is allowed. So deselect everything by clicking  on the first line, next to the word Code

          • Now select DNFCS_2003 and press Save (the red warning  should now be gone)

        • In the green navigation bar, click Consumptions by modelled food to go up one level

      • At Inputs, click Food conversions (path: Exposures / Dietary exposures / Consumptions by modelled food / Food conversions)

        • At Inputs, click Foods as measured (path: Exposures / Dietary exposures / Consumptions by modelled food / Food conversions / Foods as measured)

          • At Inputs, click Concentrations (path: Exposures / Dietary exposures / Consumptions by modelled food / Food conversions / Foods as measured Concentrations)

            • At Concentration data source with  browse to the file ConcentrationData.xlsx and Select

            • In the green navigation bar, click Food conversions to go up two levels

        • At Inputs, click Food recipes (path: Exposures / Dietary exposures / Consumptions by modelled food / Food conversions / Food recipes)

          • At Food recipes data source, with  browse to the file FoodRecipes.xlsx and Select

          • In the green navigation bar, click Dietary exposures to go up three levels

    • At Inputs, click Concentration models (path: Exposures / Dietary exposures / Concentration models)

      • At Inputs, click Relative potency factors (path: Exposures / Dietary exposures / Concentration models / Relative potency factors)

        • At Relative potency factors data source with  browse to the file RelativePotencyFactors.xlsx and Select

        • In the green navigation bar, click Dietary exposures to go up two levels

    • At Inputs, click Processing factors (path: Exposures / Dietary exposures / Processing factors)

      • At Processing factors data source with  browse to the file ProcessingFactors.xlsx and Select

      • In the green navigation bar, click Dietary exposures to go up one level

    • At Inputs, click Active substances (optional) (path: Exposures / Dietary exposures / Active substances)

      • At Inputs, click Points of departure (path: Exposures / Dietary exposures / Active substances / Points of departure)

        • At Points of departure data source with  browse to the file HazardDoses - Triazoles.xlsx

        • In the green navigation bar, click Dietary exposures to go up two levels

    • At Dietary exposure settings, for Dietary exposure calculation tier select EFSA 2012 Optimistic, and press  Save Changes

    • In the green navigation bar, click Exposures to go up one level

  • At Inputs, click Non-dietary exposures (path: Exposures / Non-dietary exposures)

    • At Non-dietary exposures data source with  browse to the file NonDietaryExposures.xlsx and Select

• Now run the model, by pressing the  run icon in the grey bar.

Try to find the following results:

1. Exposure percentiles daily intakes with uncertainty bounds

2. Substance with highest contribution to the total exposure distribution

3. The modelled food measured with the highest contribution to the upper tail of the exposure distribution

Example 2

In this example we will elaborate on the previous one with kinetic models.

• Go to the Actions settings  of this action (path: Exposures)

  • At Inputs, click Kinetic models (default) (path: Exposures / Kinetic models)

    • At Kinetic models data source with  browse to the file UserGroupDemo-KineticModelsArtificial.xlsx and Select

    • At Kinetic model settings for Kinetic model select Cosmos Version 5

• Now run the model, by pressing the  run icon in the green bar.