Dietary exposures tiers

Overview

Table 91 Tier overview for module Dietary exposures.
Name EFSA 2012 Optimistic EFSA 2012 Pessimistic - Acute EFSA 2012 Pessimistic - Chronic EC 2018 Tier 1 EC 2018 Tier 2

Total diet study concentration data

false

false

false

false

Sample based

true

true

true

true

true

Consumptions on the same day come from the same sample

false

true

true

false

false

Apply processing factors

true

true

true

true

true

Use distribution

false

false

false

false

false

Ignore processing factors less than 1

false

true

true

false

false

Use unit variability

false

true

true

true

Unit variability model

NoUnitVariability

BetaDistribution

BetaDistribution

BetaDistribution

Model type

OIM

OIM

OIM

OIM

Model-then-add

false

false

false

false

Covariate modelling

false

false

false

false

false

Iterate survey

false

false

false

false

false

Report consumptions and exposures per individual instead of per kg body weight

false

false

false

false

false

Default concentration model

Empirical

NonDetectSpikeLogNormal

NonDetectSpikeLogNormal

Empirical

Empirical

Include MRL fallback model

false

true

true

false

false

Non-detects replacement

ReplaceByZero

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

Impute missing values from available values (if unchecked, missing values are imputed with 0)

false

true

true

true

true

Correlate imputed values with sample potency

false

true

true

true

false

Use occurrence frequencies for imputation

false

true

true

Parametric uncertainty

false

true

false

false

false

Risk type

Acute

Chronic

Estimates nature

Realistic

Realistic

Realistic

Unit variability parameter

VariabilityFactor

VariabilityFactor

VariabilityFactor

Restrict LOR imputation to authorised uses

false

false

false

false

Factor f (f x LOR)

1

1

0.5

0.5

MRL Factor (f x MRL)

1

1

Apply occurrence pattern percentages

false

true

Substance conversion method

UseMostToxic

DrawRandom

Retain all allocated substances after active substance allocation

true

true

Account for substance authorisations in substance conversions

false

true

Use extrapolation rules

true

true

Threshold for extrapolation

10

10

Restrict extrapolations to equal MRLs

true

true

Restrict extrapolations to authorised uses

true

true

Impute water concentrations

true

true

Water concentration value (µg/kg)

0.1

0.05

Restrict water imputation to the five most toxic substances

true

true

Restrict water imputation to authorised uses

false

false

Scale up use frequency to 100%

true

Restrict use percentage up-scaling to authorised uses

true

EFSA 2012 Optimistic

Use the optimistic model settings according to the EFSA Guidance 2012. Concentration values are sampled using a sample-based empirical distribution. Available processing factors are applied. No unit variability model should be applied.

Table 92 Tier definition for EFSA 2012 Optimistic.
Name Setting From input tier In module
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability false
Unit variability model NoUnitVariability
Model type OIM
Model-then-add false
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model Empirical EFSA 2012 Optimistic Concentration models
Include MRL fallback model false EFSA 2012 Optimistic Concentration models
Non-detects replacement ReplaceByZero EFSA 2012 Optimistic Concentration models
Sample based true EFSA 2012 Optimistic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) false EFSA 2012 Optimistic Concentration models
Correlate imputed values with sample potency false EFSA 2012 Optimistic Concentration models
Use occurrence frequencies for imputation false EFSA 2012 Optimistic Concentration models
Parametric uncertainty false EFSA 2012 Optimistic Concentration models

EFSA 2012 Pessimistic - Acute

Acute probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.

Table 93 Tier definition for EFSA 2012 Pessimistic - Acute.
Name Setting From input tier In module
Risk type Acute
Sample based true
Consumptions on the same day come from the same sample true
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 true
Use unit variability true
Unit variability model BetaDistribution
Estimates nature Realistic
Unit variability parameter VariabilityFactor
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model NonDetectSpikeLogNormal EFSA 2012 Pessimistic - Acute Concentration models
Include MRL fallback model true EFSA 2012 Pessimistic - Acute Concentration models
Restrict LOR imputation to authorised uses false EFSA 2012 Pessimistic - Acute Concentration models
Non-detects replacement ReplaceByLOR EFSA 2012 Pessimistic - Acute Concentration models
Factor f (f x LOR) 1 EFSA 2012 Pessimistic - Acute Concentration models
MRL Factor (f x MRL) 1 EFSA 2012 Pessimistic - Acute Concentration models
Sample based true EFSA 2012 Pessimistic - Acute Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EFSA 2012 Pessimistic - Acute Concentration models
Correlate imputed values with sample potency true EFSA 2012 Pessimistic - Acute Concentration models
Parametric uncertainty true EFSA 2012 Pessimistic - Acute Concentration models

EFSA 2012 Pessimistic - Chronic

Chronic probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied.

Table 94 Tier definition for EFSA 2012 Pessimistic - Chronic.
Name Setting From input tier In module
Risk type Chronic
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample true
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 true
Model type OIM
Model-then-add false
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model NonDetectSpikeLogNormal EFSA 2012 Pessimistic - Chronic Concentration models
Include MRL fallback model true EFSA 2012 Pessimistic - Chronic Concentration models
Restrict LOR imputation to authorised uses false EFSA 2012 Pessimistic - Chronic Concentration models
Non-detects replacement ReplaceByLOR EFSA 2012 Pessimistic - Chronic Concentration models
Factor f (f x LOR) 1 EFSA 2012 Pessimistic - Chronic Concentration models
MRL Factor (f x MRL) 1 EFSA 2012 Pessimistic - Chronic Concentration models
Sample based true EFSA 2012 Pessimistic - Chronic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EFSA 2012 Pessimistic - Chronic Concentration models
Correlate imputed values with sample potency true EFSA 2012 Pessimistic - Chronic Concentration models
Parametric uncertainty false EFSA 2012 Pessimistic - Chronic Concentration models

EC 2018 Tier 1

Table 95 Tier definition for EC 2018 Tier 1.
Name Setting From input tier In module
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability true
Unit variability model BetaDistribution
Estimates nature Realistic
Unit variability parameter VariabilityFactor
Model type OIM
Model-then-add false
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model Empirical EC 2018 Tier 1 Concentration models
Include MRL fallback model false EC 2018 Tier 1 Concentration models
Restrict LOR imputation to authorised uses false EC 2018 Tier 1 Concentration models
Non-detects replacement ReplaceByLOR EC 2018 Tier 1 Concentration models
Factor f (f x LOR) 0.5 EC 2018 Tier 1 Concentration models
Sample based true EC 2018 Tier 1 Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EC 2018 Tier 1 Concentration models
Correlate imputed values with sample potency true EC 2018 Tier 1 Concentration models
Use occurrence frequencies for imputation true EC 2018 Tier 1 Concentration models
Parametric uncertainty false EC 2018 Tier 1 Concentration models
Apply occurrence pattern percentages false EC 2018 Tier 1 Occurrence patterns
Substance conversion method UseMostToxic EC 2018 Tier 1 Concentrations
Retain all allocated substances after active substance allocation true EC 2018 Tier 1 Concentrations
Account for substance authorisations in substance conversions false EC 2018 Tier 1 Concentrations
Use extrapolation rules true EC 2018 Tier 1 Concentrations
Threshold for extrapolation 10 EC 2018 Tier 1 Concentrations
Restrict extrapolations to equal MRLs true EC 2018 Tier 1 Concentrations
Restrict extrapolations to authorised uses true EC 2018 Tier 1 Concentrations
Impute water concentrations true EC 2018 Tier 1 Concentrations
Water concentration value (µg/kg) 0.1 EC 2018 Tier 1 Concentrations
Restrict water imputation to the five most toxic substances true EC 2018 Tier 1 Concentrations
Restrict water imputation to authorised uses false EC 2018 Tier 1 Concentrations

EC 2018 Tier 2

Table 96 Tier definition for EC 2018 Tier 2.
Name Setting From input tier In module
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability true
Unit variability model BetaDistribution
Estimates nature Realistic
Unit variability parameter VariabilityFactor
Model type OIM
Model-then-add false
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model Empirical EC 2018 Tier 2 Concentration models
Include MRL fallback model false EC 2018 Tier 2 Concentration models
Restrict LOR imputation to authorised uses false EC 2018 Tier 2 Concentration models
Non-detects replacement ReplaceByLOR EC 2018 Tier 2 Concentration models
Factor f (f x LOR) 0.5 EC 2018 Tier 2 Concentration models
Sample based true EC 2018 Tier 2 Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EC 2018 Tier 2 Concentration models
Correlate imputed values with sample potency false EC 2018 Tier 2 Concentration models
Use occurrence frequencies for imputation true EC 2018 Tier 2 Concentration models
Parametric uncertainty false EC 2018 Tier 2 Concentration models
Apply occurrence pattern percentages true EC 2018 Tier 2 Occurrence patterns
Scale up use frequency to 100% true EC 2018 Tier 2 Occurrence patterns
Restrict use percentage up-scaling to authorised uses true EC 2018 Tier 2 Occurrence patterns
Substance conversion method DrawRandom EC 2018 Tier 2 Concentrations
Retain all allocated substances after active substance allocation true EC 2018 Tier 2 Concentrations
Account for substance authorisations in substance conversions true EC 2018 Tier 2 Concentrations
Use extrapolation rules true EC 2018 Tier 2 Concentrations
Threshold for extrapolation 10 EC 2018 Tier 2 Concentrations
Restrict extrapolations to equal MRLs true EC 2018 Tier 2 Concentrations
Restrict extrapolations to authorised uses true EC 2018 Tier 2 Concentrations
Impute water concentrations true EC 2018 Tier 2 Concentrations
Water concentration value (µg/kg) 0.05 EC 2018 Tier 2 Concentrations
Restrict water imputation to the five most toxic substances true EC 2018 Tier 2 Concentrations
Restrict water imputation to authorised uses false EC 2018 Tier 2 Concentrations

EFSA 2012 Pessimistic

Note

This tier is deprecated and has been replaced by separate acute/chronic tiers.

Probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.

Table 97 Tier definition for EFSA 2012 Pessimistic.
Name Setting From input tier In module
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample true
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 true
Use unit variability true
Unit variability model BetaDistribution
Estimates nature Realistic
Unit variability parameter VariabilityFactor
Model type OIM
Model-then-add false
Covariate modelling false
Iterate survey false
Report consumptions and exposures per individual instead of per kg body weight false
Default concentration model NonDetectSpikeLogNormal EFSA 2012 Pessimistic Concentration models
Include MRL fallback model true EFSA 2012 Pessimistic Concentration models
Restrict LOR imputation to authorised uses false EFSA 2012 Pessimistic Concentration models
Non-detects replacement ReplaceByLOR EFSA 2012 Pessimistic Concentration models
Factor f (f x LOR) 1 EFSA 2012 Pessimistic Concentration models
MRL Factor (f x MRL) 1 EFSA 2012 Pessimistic Concentration models
Sample based true EFSA 2012 Pessimistic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EFSA 2012 Pessimistic Concentration models
Correlate imputed values with sample potency true EFSA 2012 Pessimistic Concentration models
Parametric uncertainty true EFSA 2012 Pessimistic Concentration models