Internal exposures settings
Calculation settings
| Name | Type | Description |
|---|---|---|
Exposure type
|
ExposureType | The type of exposure considered in the assessment; acute (short term) or chronic (long-term). |
Target level
|
TargetLevelType | Select whether the assessment is at the level of external dose, internal (target) concentration or internal (systemic) dose. For an aggregate assessment, combining dietary and nondietary exposures, the target level is always internal concentration or internal (systemic) dose. When only dietary exposures are available, the target level is optional and may be an external (administered) dose, an internal (tissue) concentration or an internal (absorbed) dose. |
Multiple substances analysis
|
Boolean |
Specifies whether the assessment involves multiple substances. |
Compute cumulative exposures
|
Boolean |
Specifies whether the assessment involves multiple substances and results should be cumulated over all substances. |
Specify the type of kinetic model
|
InternalModelType | Specify the type of model to convert external exposure to the internal level. |
Biological matrix
|
BiologicalMatrix | The target biological matrix (internal compartment) for which the results are computed. Biological matrices from kinetic conversions will become available after selecting a data source in the kinetic models module. |
Exposure sources
|
ExposureSource | Specifies the exposure sources involved in the exposure assessment. |
Exposure routes
|
ExposureRoutes |
Exposure routes included in assessment. |
Individual reference set
|
ExposureSource | Specifies the exposure sources used as reference set for matching individuals. |
Match individuals of multiple non-dietary surveys
|
Boolean |
If checked, then non-dietary exposures of individuals from different surveys with the same identifier (ID) are combined. |
Substance weighting in mixtures
|
ExposureApproachType | Risk based: exposures in equivalents of the reference substance; standardised: standardised exposures per substance have variance 1; or unweighted exposures: RPFs are equal to 1. |
Perform MCR analysis
|
Boolean |
Perform a Maximum Cumulative Ratio (MCR) analysis to determine co-exposure between substances. |
Display ratio total exposure/ maximum (in MCR plot)
|
Numeric |
For MCR plot: specify ratio total exposure/ maximum for individual(day) exposures . |
Show tail percentiles (MCR plot) for:
|
Numeric |
Give specific percentiles of exposure distribution (%), e.g. 97.5 99 (space separated). |
Set minimum percentage contribution per substance to the tail exposure (MCR plot)
|
Numeric |
Set minimum percentage contribution per substance to the tail exposure. |
Cutoff MCR
|
Numeric |
For selection of individual(day) exposures with maximum cumulative ratio (MCR = total exposure/maximum) above the cutoff. |
Cutoff percentage in population ranked on total exposure
|
Numeric |
For selection of individual(day) exposures above the cutoff percentage in the set of individual(day)s ranked on total exposure. |
Seed for pseudo-random number generator
|
Numeric |
A value of 0 will use a pseudo-random seed in each run, a value > 0 will provide the same results in a repeated run. |
Standardised blood concentrations (lipids)
|
Boolean |
Standardised blood concentrations (lipids). |
Standardised (creatinine) or normalised (specific grafity) urine concentrations
|
Boolean |
Standardised (creatinine) or normalised (specific grafity) urine concentrations. |
Selected expression type
|
ExpressionType | Standardised urine (creatinine) or normalised urine (specific grafity). |
Exposure events and dose generation method
|
ExposureEventsGenerationMethod | Generates doses and events for PBK model |
Number of simulated days
|
Numeric |
The total duration (in days) of the PBK model simulations. |
Number of initial days skipped
|
Numeric |
The initial period (or burn-in period, specified in days) that needs to be skipped when calculating the steady-state or peak internal exposures from the simulated time series. |
Use PBK model parameter variability
|
Boolean |
When specified, use parameter variability. |
Number of events per day for the DERMAL dose
|
Numeric |
The daily dose is administered in equal portions (dose / number of events) per event. |
Number of events per day for the INHALATION dose
|
Numeric |
The daily dose is administered in equal portions (dose / number of events) per event. |
Number of events per day for the ORAL dose
|
Numeric |
The daily dose is administered in equal portions (dose / number of events) per event. |
Specify the hours (events).
|
Numeric |
Specify the hours on which exposure events are simulated. Allowed numbers are 1, 2, 3, 4,…, 24 separated by spaces. |
Specify event timings
|
Boolean |
If checked, a specific sequence of hours on a day can be specified on which exposure events are simulated. Otherwise the events are derived based on the number of exposure events per day. |
PBK simulation method
|
PbkSimulationMethod | Specifies in which mode to run the PBK model |
Expected life time in years
|
Numeric |
The total expected lifetime (in years) of the PBK model. |
Use bodyweight adjusted exposures
|
Boolean |
Use bodyweight adjusted exposures in PBK model simulations. |
DIET: Population alignment method diet exposures
|
PopulationAlignmentMethod | Population aligment methods for dietary exposure sources. |
Diet: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
Diet: match at random based on age
|
Boolean |
Dietary exposures are randomly matched on stratifying covariable age. |
Diet: matching method for age
|
AgeAlignmentMethod | Match at random based on age using user defined bins (in years) or fit to closest available set of ages. |
Diet: specify bins:
|
Numeric |
Specify bins, e.g. 10 25 50 (space separated) in years. |
AIR: Population alignment method (RSExpo) air exposures
|
PopulationAlignmentMethod | Population aligment methods for (RSExpo) air exposure sources. |
Air: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
Air: match at random based on age
|
Boolean |
Air exposures are randomly matched on stratifying covariable age. |
Air: matching method for age
|
AgeAlignmentMethod | Match at random based on age using user defined bins (in years) or fit to closest available set of ages. |
Air: specify bins:
|
Numeric |
Specify bins, e.g. 10 25 50 (space separated) in years. |
SOIL: Population alignment method (RSExpo) soil exposures
|
PopulationAlignmentMethod | Population aligment methods for (RSExpo) soil exposure sources. |
Soil: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
Soil: match at random based on age
|
Boolean |
Soil exposures are randomly matched on stratifying covariable age. |
Soil: matching method for age
|
AgeAlignmentMethod | Match at random based on age using user defined bins (in years) or fit to closest available set of ages. |
Soil: specify bins:
|
Numeric |
Specify bins, e.g. 10 25 50 (space separated) in years. |
DUST: Population alignment method (RSExpo) dust exposures
|
PopulationAlignmentMethod | Population aligment methods for (RSExpo) dust exposure sources. |
Dust: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
Dust: match at random based on age
|
Boolean |
Dust exposures are randomly matched on stratifying covariable age. |
Dust: matching method for age
|
AgeAlignmentMethod | Match at random based on age using user defined bins (in years) or fit to closest available set of ages. |
Dust: specify bins:
|
Numeric |
Specify bins, e.g. 10 25 50 (space separated) in years. |
NON-DIETARY: Population alignment method other non-dietary exposures
|
PopulationAlignmentMethod | Population aligment methods for nondietary exposure sources. |
Nondietary: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
Nondietary: match at random based on age
|
Boolean |
Nondietary exposures are randomly matched on stratifying covariable age. |
CONSUMER-PRODUCT: Population alignment method consumer product exposures
|
PopulationAlignmentMethod | Population aligment methods for consumer product exposure sources. |
Consumer product: match at random based on sex
|
Boolean |
Match at random based on stratifying cofactor sex. |
ConsumerProduct: match at random based on age
|
Boolean |
Consumer product exposures are randomly matched on stratifying covariable age. |
ConsumerProduct: matching method for age
|
AgeAlignmentMethod | Match at random based on age using user defined bins (in years) or fit to closest available set of ages. |
Consumer product: specify bins:
|
Numeric |
Specify bins, e.g. 10 25 50 (space separated) in years. |
Number of initial years skipped
|
Numeric |
The initial period (or burn-in period, specified in years) that needs to be skipped when calculating the steady-state or peak internal exposures from the simulated time series. |
Output settings
| Name | Type | Description |
|---|---|---|
Exclude privacy sensitive data from outputs
|
Boolean |
Use this setting to not report the parts of the results (i.e., figures, tables, or sections) that are marked as (potentially) privacy sensitive. |
Include drill-down on 9 individuals around specified percentile
|
Boolean |
Specifies whether drilldown on 9 individuals is to be included in the output. |
Store simulated individual day exposures
|
Boolean |
Store the simulated individual day exposures. If unchecked, no additional output will be generated. If checked, the output will contain an additional section with the simulated individual day exposures. |
Show percentiles for
|
Numeric |
Give specific percentiles of exposure distribution (%), e.g. 50 90 95 97.5 99 (space separated). |
Percentage for drilldown
|
Numeric |
Gives detailed output for nine individuals near this percentile of the exposure distribution. |
Percentage for upper tail
|
Numeric |
Gives detailed output for this upper percentage of the exposure distribution. |
Show % of population below level(s)
|
ExposureMethod | This setting is used for reporting the percentages of individuals (chronic) or individual days (acute) exceeding certain exposure levels. These exposure levels can be generated automatically based on the observed exposures (Automatic, default) or specified explicitly (Manual). |
Exposure levels
|
Numeric |
Specify exposure levels for which to give the percentage of exposure below these levels, e.g. 1 10 50 100 200 500. |
Number of levels of covariable to predict exposure
|
Numeric |
Specify the number of levels, e.g. 20. The range of the covariable is divided by the number of levels: range = (max - min)/levels. For these covariable levels exposures are predicted. |
Predict exposure at extra covariable levels
|
Numeric |
Specify specific prediction levels in addition to the automatically generated prediction levels (space separated). |
Lower percentage for variability (%)
|
Numeric |
The default value of 25% may be overruled. |
Upper percentage for variability (%)
|
Numeric |
The default value of 75% may be overruled. |
Report consumptions and exposures per individual instead of per kg body weight
|
Boolean |
Specifies whether body weights should be ignored and consumptions and exposures should be expressed per individual. Otherwise, the consumptions and exposures are per kg body weight. |
Uncertainty settings
| Name | Type | Description |
|---|---|---|
Resample kinetic conversion factors
|
Boolean |
Specifies whether kinetic conversion factors are resampled. |
Resample PBK model parameter values
|
Boolean |
Specifies whether PBK model parameter values are resampled. |
Lower uncertainty limit (%)
|
Numeric |
Percentage lower bound, e.g. 2.5%. |
Upper uncertainty limit (%)
|
Numeric |
Percentage upper bound, e.g. 97.5%. |