Dietary exposures tiers

Overview

Table 107 Tier overview for module Dietary exposures.
Name	EFSA 2012 Optimistic	EFSA 2012 Acute Pessimistic	EFSA 2012 Chronic Pessimistic	EC 2018 Tier I	EC 2018 Tier II	EFSA 2022 Tier I	EFSA 2022 Tier II
Total diet study concentration data	false		false	false	false	false	false
Sample based	true	true	true	true	true	true	true
Consumptions on the same day come from the same sample	false	true	true	false	false	false	false
Apply processing factors	true	true	true	true	true	true	true
Use distribution	false	false	false	false	false	false	false
Ignore processing factors less than 1	false	true	true	false	false	false	false
Use unit variability	false	true		true	true	true	true
Unit variability model	NoUnitVariability	BetaDistribution		BetaDistribution	BetaDistribution	BetaDistribution	BetaDistribution
Model type	OIM		OIM	OIM	OIM	OIM	OIM
Model-then-add	false		false	false	false	false	false
Covariate modelling	false	false	false	false	false	false	false
Iterate survey	false	false	false	false	false	false	false
Report consumptions and exposures per individual instead of per kg body weight	false	false	false	false	false	false	false
Default concentration model	Empirical	NonDetectSpikeLogNormal	NonDetectSpikeLogNormal	Empirical	Empirical	Empirical	Empirical
Include MRL fallback model	false	true	true	false	false	false	false
Censored values replacement	ReplaceByZero	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR	ReplaceByLOR
Impute missing values from available values (if unchecked, missing values are imputed with 0)	false	true	true	true	true	true	true
Correlate imputed values with sample potency	false	true	true	true	false	true	false
Use occurrence frequencies for imputation	false			true	true	true	true
Parametric uncertainty	false	true	false	false	false	false	false
Exposure type		Acute	Chronic
Estimates nature		Realistic		Realistic	Realistic	Realistic	Realistic
Unit variability parameter		VariabilityFactor		VariabilityFactor	VariabilityFactor	VariabilityFactor	VariabilityFactor
Restrict LOR imputation to authorised uses		false	false	false	false	false	false
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)		1	1	0.5	0.5	0.5	0.5
MRL Factor (f x MRL)		1	1
Multiple substances analysis				true	true	true	true
Compute cumulative exposures				true	true	true	true
Apply occurrence pattern percentages				false	true	false	true
Substance conversion method				UseMostToxic	DrawRandom		DrawRandom
Retain all allocated substances after active substance allocation				true	true	true	true
Account for substance authorisations in substance conversions				false	true	false	true
Fix duplicate substance allocation inconsistencies				false	false	false	false
Use extrapolation rules				true	true	false	false
Threshold for extrapolation				10	10	10	10
Restrict extrapolations to equal MRLs				true	true	true	true
Restrict extrapolations to authorised uses				true	true	true	true
Impute water concentrations				true	true	true	true
Water concentration value (µg/kg)				0.1	0.05	0.1	0.05
Restrict water imputation to the five most toxic substances				true	true	true	true
Restrict water imputation to authorised uses				false	false	false	false
Restrict water imputation to approved substances				false	false	true	true
Scale up use frequency to 100%					true		true
Restrict use percentage up-scaling to authorised uses					true		true
Use substance conversion rules						true	true
Ignore sampling weights						true	true
N (number of days in survey)						2	2

EFSA 2012 Dietary exposure assessment - 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 108 Tier definition for EFSA 2012 Dietary exposure assessment - 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 Dietary exposure assessment - Optimistic	Concentration models
Include MRL fallback model	false	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Censored values replacement	ReplaceByZero	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Sample based	true	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	false	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Correlate imputed values with sample potency	false	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Use occurrence frequencies for imputation	false	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models
Parametric uncertainty	false	EFSA 2012 Dietary exposure assessment - Optimistic	Concentration models

EFSA 2012 Acute dietary exposure assessment - Pessimistic

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 109 Tier definition for EFSA 2012 Acute dietary exposure assessment - Pessimistic.
Name	Setting	From input tier	In module
Exposure 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 Acute dietary exposure assessment - Pessimistic	Concentration models
Include MRL fallback model	true	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Restrict LOR imputation to authorised uses	false	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Censored values replacement	ReplaceByLOR	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	1	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
MRL Factor (f x MRL)	1	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Sample based	true	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Correlate imputed values with sample potency	true	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models
Parametric uncertainty	true	EFSA 2012 Acute dietary exposure assessment - Pessimistic	Concentration models

EFSA 2012 Chronic dietary exposure assessment - Pessimistic

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

Table 110 Tier definition for EFSA 2012 Chronic dietary exposure assessment - Pessimistic.
Name	Setting	From input tier	In module
Exposure 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 Chronic dietary exposure assessment - Pessimistic	Concentration models
Include MRL fallback model	true	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Restrict LOR imputation to authorised uses	false	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Censored values replacement	ReplaceByLOR	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	1	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
MRL Factor (f x MRL)	1	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Sample based	true	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Correlate imputed values with sample potency	true	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models
Parametric uncertainty	false	EFSA 2012 Chronic dietary exposure assessment - Pessimistic	Concentration models

EC 2018 Dietary CRA Tier I

Table 111 Tier definition for EC 2018 Dietary CRA Tier I.
Name	Setting	From input tier	In module
Total diet study concentration data	false
Multiple substances analysis	true
Compute cumulative exposures	true
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 Dietary CRA Tier I	Concentration models
Include MRL fallback model	false	EC 2018 Dietary CRA Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	EC 2018 Dietary CRA Tier I	Concentration models
Censored values replacement	ReplaceByLOR	EC 2018 Dietary CRA Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	EC 2018 Dietary CRA Tier I	Concentration models
Sample based	true	EC 2018 Dietary CRA Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EC 2018 Dietary CRA Tier I	Concentration models
Correlate imputed values with sample potency	true	EC 2018 Dietary CRA Tier I	Concentration models
Use occurrence frequencies for imputation	true	EC 2018 Dietary CRA Tier I	Concentration models
Parametric uncertainty	false	EC 2018 Dietary CRA Tier I	Concentration models
Apply occurrence pattern percentages	false	EC 2018 Dietary CRA Tier I	Occurrence patterns
Substance conversion method	UseMostToxic	EC 2018 Dietary CRA Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	EC 2018 Dietary CRA Tier I	Concentrations
Account for substance authorisations in substance conversions	false	EC 2018 Dietary CRA Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	EC 2018 Dietary CRA Tier I	Concentrations
Use extrapolation rules	true	EC 2018 Dietary CRA Tier I	Concentrations
Threshold for extrapolation	10	EC 2018 Dietary CRA Tier I	Concentrations
Restrict extrapolations to equal MRLs	true	EC 2018 Dietary CRA Tier I	Concentrations
Restrict extrapolations to authorised uses	true	EC 2018 Dietary CRA Tier I	Concentrations
Impute water concentrations	true	EC 2018 Dietary CRA Tier I	Concentrations
Water concentration value (µg/kg)	0.1	EC 2018 Dietary CRA Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	EC 2018 Dietary CRA Tier I	Concentrations
Restrict water imputation to authorised uses	false	EC 2018 Dietary CRA Tier I	Concentrations
Restrict water imputation to approved substances	false	EC 2018 Dietary CRA Tier I	Concentrations

EC 2018 Dietary CRA Tier II

Table 112 Tier definition for EC 2018 Dietary CRA Tier II.
Name	Setting	From input tier	In module
Total diet study concentration data	false
Multiple substances analysis	true
Compute cumulative exposures	true
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 Dietary CRA Tier II	Concentration models
Include MRL fallback model	false	EC 2018 Dietary CRA Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	EC 2018 Dietary CRA Tier II	Concentration models
Censored values replacement	ReplaceByLOR	EC 2018 Dietary CRA Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	EC 2018 Dietary CRA Tier II	Concentration models
Sample based	true	EC 2018 Dietary CRA Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EC 2018 Dietary CRA Tier II	Concentration models
Correlate imputed values with sample potency	false	EC 2018 Dietary CRA Tier II	Concentration models
Use occurrence frequencies for imputation	true	EC 2018 Dietary CRA Tier II	Concentration models
Parametric uncertainty	false	EC 2018 Dietary CRA Tier II	Concentration models
Apply occurrence pattern percentages	true	EC 2018 Dietary CRA Tier II	Occurrence patterns
Scale up use frequency to 100%	true	EC 2018 Dietary CRA Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	EC 2018 Dietary CRA Tier II	Occurrence patterns
Substance conversion method	DrawRandom	EC 2018 Dietary CRA Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	EC 2018 Dietary CRA Tier II	Concentrations
Account for substance authorisations in substance conversions	true	EC 2018 Dietary CRA Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	EC 2018 Dietary CRA Tier II	Concentrations
Use extrapolation rules	true	EC 2018 Dietary CRA Tier II	Concentrations
Threshold for extrapolation	10	EC 2018 Dietary CRA Tier II	Concentrations
Restrict extrapolations to equal MRLs	true	EC 2018 Dietary CRA Tier II	Concentrations
Restrict extrapolations to authorised uses	true	EC 2018 Dietary CRA Tier II	Concentrations
Impute water concentrations	true	EC 2018 Dietary CRA Tier II	Concentrations
Water concentration value (µg/kg)	0.05	EC 2018 Dietary CRA Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	EC 2018 Dietary CRA Tier II	Concentrations
Restrict water imputation to authorised uses	false	EC 2018 Dietary CRA Tier II	Concentrations
Restrict water imputation to approved substances	false	EC 2018 Dietary CRA Tier II	Concentrations

EFSA 2022 Dietary CRA Tier I

Table 113 Tier definition for EFSA 2022 Dietary CRA Tier I.
Name	Setting	From input tier	In module
Total diet study concentration data	false
Multiple substances analysis	true
Compute cumulative exposures	true
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	EFSA 2022 Dietary CRA Tier I	Concentration models
Include MRL fallback model	false	EFSA 2022 Dietary CRA Tier I	Concentration models
Restrict LOR imputation to authorised uses	false	EFSA 2022 Dietary CRA Tier I	Concentration models
Censored values replacement	ReplaceByLOR	EFSA 2022 Dietary CRA Tier I	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	EFSA 2022 Dietary CRA Tier I	Concentration models
Sample based	true	EFSA 2022 Dietary CRA Tier I	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EFSA 2022 Dietary CRA Tier I	Concentration models
Correlate imputed values with sample potency	true	EFSA 2022 Dietary CRA Tier I	Concentration models
Use occurrence frequencies for imputation	true	EFSA 2022 Dietary CRA Tier I	Concentration models
Parametric uncertainty	false	EFSA 2022 Dietary CRA Tier I	Concentration models
Apply occurrence pattern percentages	false	EFSA 2022 Dietary CRA Tier I	Occurrence patterns
Use substance conversion rules	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Retain all allocated substances after active substance allocation	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Account for substance authorisations in substance conversions	false	EFSA 2022 Dietary CRA Tier I	Concentrations
Fix duplicate substance allocation inconsistencies	false	EFSA 2022 Dietary CRA Tier I	Concentrations
Use extrapolation rules	false	EFSA 2022 Dietary CRA Tier I	Concentrations
Threshold for extrapolation	10	EFSA 2022 Dietary CRA Tier I	Concentrations
Restrict extrapolations to equal MRLs	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Restrict extrapolations to authorised uses	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Impute water concentrations	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Water concentration value (µg/kg)	0.1	EFSA 2022 Dietary CRA Tier I	Concentrations
Restrict water imputation to the five most toxic substances	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Restrict water imputation to authorised uses	false	EFSA 2022 Dietary CRA Tier I	Concentrations
Restrict water imputation to approved substances	true	EFSA 2022 Dietary CRA Tier I	Concentrations
Ignore sampling weights	true	EFSA 2022 Dietary CRA Tier I	Consumptions
N (number of days in survey)	2	EFSA 2022 Dietary CRA Tier I	Consumptions

EFSA 2022 Dietary CRA Tier II

Table 114 Tier definition for EFSA 2022 Dietary CRA Tier II.
Name	Setting	From input tier	In module
Total diet study concentration data	false
Multiple substances analysis	true
Compute cumulative exposures	true
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	EFSA 2022 Dietary CRA Tier II	Concentration models
Include MRL fallback model	false	EFSA 2022 Dietary CRA Tier II	Concentration models
Restrict LOR imputation to authorised uses	false	EFSA 2022 Dietary CRA Tier II	Concentration models
Censored values replacement	ReplaceByLOR	EFSA 2022 Dietary CRA Tier II	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	0.5	EFSA 2022 Dietary CRA Tier II	Concentration models
Sample based	true	EFSA 2022 Dietary CRA Tier II	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EFSA 2022 Dietary CRA Tier II	Concentration models
Correlate imputed values with sample potency	false	EFSA 2022 Dietary CRA Tier II	Concentration models
Use occurrence frequencies for imputation	true	EFSA 2022 Dietary CRA Tier II	Concentration models
Parametric uncertainty	false	EFSA 2022 Dietary CRA Tier II	Concentration models
Apply occurrence pattern percentages	true	EFSA 2022 Dietary CRA Tier II	Occurrence patterns
Scale up use frequency to 100%	true	EFSA 2022 Dietary CRA Tier II	Occurrence patterns
Restrict use percentage up-scaling to authorised uses	true	EFSA 2022 Dietary CRA Tier II	Occurrence patterns
Use substance conversion rules	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Substance conversion method	DrawRandom	EFSA 2022 Dietary CRA Tier II	Concentrations
Retain all allocated substances after active substance allocation	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Account for substance authorisations in substance conversions	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Fix duplicate substance allocation inconsistencies	false	EFSA 2022 Dietary CRA Tier II	Concentrations
Use extrapolation rules	false	EFSA 2022 Dietary CRA Tier II	Concentrations
Threshold for extrapolation	10	EFSA 2022 Dietary CRA Tier II	Concentrations
Restrict extrapolations to equal MRLs	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Restrict extrapolations to authorised uses	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Impute water concentrations	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Water concentration value (µg/kg)	0.05	EFSA 2022 Dietary CRA Tier II	Concentrations
Restrict water imputation to the five most toxic substances	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Restrict water imputation to authorised uses	false	EFSA 2022 Dietary CRA Tier II	Concentrations
Restrict water imputation to approved substances	true	EFSA 2022 Dietary CRA Tier II	Concentrations
Ignore sampling weights	true	EFSA 2022 Dietary CRA Tier II	Consumptions
N (number of days in survey)	2	EFSA 2022 Dietary CRA Tier II	Consumptions

EFSA 2012 Dietary exposure assessment - 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 115 Tier definition for EFSA 2012 Dietary exposure assessment - 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 Dietary exposure assessment - Pessimistic	Concentration models
Include MRL fallback model	true	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Restrict LOR imputation to authorised uses	false	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Censored values replacement	ReplaceByLOR	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)	1	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
MRL Factor (f x MRL)	1	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Sample based	true	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0)	true	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Correlate imputed values with sample potency	true	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models
Parametric uncertainty	true	EFSA 2012 Dietary exposure assessment - Pessimistic	Concentration models