A critical
review of the current state of knowledge of chemical
emissions from indoor sources, partitioning among indoor compartments,
and the ensuing indoor exposure leads to a proposal for a modular
mechanistic framework for predicting human exposure to semivolatile
organic compounds (SVOCs). Mechanistically consistent source emission
categories include solid, soft, frequent contact, applied, sprayed,
and high temperature sources. Environmental compartments are the gas
phase, airborne particles, settled dust, indoor surfaces, and clothing.
Identified research needs are the development of dynamic emission
models for several of the source emission categories and of estimation
strategies for critical model parameters. The modular structure of
the framework facilitates subsequent inclusion of new knowledge, other
chemical classes of indoor pollutants, and additional mechanistic
processes relevant to human exposure indoors. The framework may serve
as the foundation for developing an open-source community model to
better support collaborative research and improve access for application
by stakeholders. Combining exposure estimates derived using this framework
with toxicity data for different end points and toxicokinetic mechanisms
will accelerate chemical risk prioritization, advance effective chemical
management decisions, and protect public health.