Cumulative dietary exposure assessment

Introduction

The goal of this exercise is to perform a probabilistic cumulative dietary exposure assessment, illustrating all data needed. In the example the exposure will be characterised by upper tail percentiles, and the risk driving substances and foods can be examined.

Preparation

If you haven’t done so, in the workspace browser (use the icon), create a new workspace named Examples, using the button in the right-hand bottom corner.

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

Example 1

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

    • Then select Dietary exposures

    • Name it Dietary exposures

    • Use as Dietary exposures settings

      • Tier: EFSA Optimistic

      • Risk type Chronic

      • Select Cumulative

    • Press Create

  • Then go to the actions settings of this action (path: Dietary exposures)

    • At Scope, click Foods (path: Dietary exposures / Foods)

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

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

    • At Scope, click Substances (path: Dietary exposures / Substances)

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

      • At Substance settings for Index substance select Cyproconazole and press Save Changes

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

    • At Scope, click Effects (path: Dietary 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 Dietary exposures to go up one level.

    • At Inputs, click Consumptions by food as measured (path: Dietary exposures / Consumptions by food as measured)

      • At Inputs, click Consumptions (path: Dietary exposures / Consumptions by food as measured / Consumptions)

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

        • At Consumption settings for Food survey select DNFCS_2003 and press Save Changes

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

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

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

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

            • At Concentrations data source with browse to the file UserGroupDemo-ConcentrationData.xlsx and Select

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

        • At Inputs, click Food recipes (path: Dietary exposures / Consumptions by food as measured / Food Food recipes)

          • At Food recipes data source, with browse to the file UserGroupDemo-FoodRecipes.xlsx

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

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

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

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

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

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

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

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

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

      • At Inputs, click Points of departure (path: 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

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

Find the following results:

  1. The 99% exposure percentile

  2. The substance(s) with highest contribution to the total exposure distribution

  3. The food(s)-as-measured with the highest contribution to the upper tail of the exposure distribution

Example 2

Repeat the run of the previous task, but instead of the nominal run, now do an uncertainty analysis loop.

  • Click on the icon (in the grey bar) to open the uncertainty settings panel, and check Perform uncertainty analysis

    • For Monte Carlo iterations per uncertainty run choose 100, and press Save Changes

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

Compare with the previous results, to find:

  1. 95% uncertainty bounds for the 99% exposure percentile

  2. 95% uncertainty bounds for the highest contribution from a substance to the total exposure distribution

  3. 95% uncertainty bounds for the highest contribution from a food to the total exposure distribution