Exposure mixtures

Exposure mixtures will select sets of co-occurring substances (one or more) that contribute most to the overall exposure patterns.

This module has as primary entities: Substances Effects

Calculation of exposure mixtures

Exposure mixtures or components can be computed from external dietary exposures, internal exposures (potentially combining dietary and non-dietary sources), or human biomonitoring concentrations. A multivariate decomposition method, sparse non-negative matrix underapproximation (SNMU), is applied to the exposure matrix—organized by substance and individual (chronic) or individual-day (acute) — to identify components containing the substances that contribute most to cumulative exposure. Prior to analysis, exposures per substance are preprocessed: they are either multiplied by relative potency factors (RPFs) for a risk-based analysis or standardized to unit variance for a correlation-based approach. An alternative to SNMU is network analysis, a method that identifies communities of substances based on their pairwise relationships.

• Exposure mixtures calculation

Inputs used: Dietary exposures Internal exposures Relative potency factors HBM analysis

Settings used

• Calculation Settings