Eichler, Clara M.A.Clara M.A.EichlerCohen Hubal, Elaine A.Elaine A.Cohen HubalXu, YingYingXuCao, JianpingJianpingCaoBi, ChenyangChenyangBiWeschler, CharlesCharlesWeschlerSalthammer, TungaTungaSalthammerMorrison, GlennGlennMorrisonKoivisto, Antti JoonasAntti JoonasKoivistoZhang, YinpingYinpingZhangMandin, CorinneCorinneMandinWei, WenjuanWenjuanWeiBlondeau, PatricePatriceBlondeauPoppendieck, DustinDustinPoppendieckLiu, XiaoyuXiaoyuLiuDelmaar, Christiaan J.E.Christiaan J.E.DelmaarFantke, PeterPeterFantkeJolliet, OlivierOlivierJollietShin, Hyeong-MooHyeong-MooShinDiamond, Miriam L.Miriam L.DiamondShiraiwa, ManabuManabuShiraiwaZuend, AndreasAndreasZuendHopke, Philip K.Philip K.HopkeGoetz, Natalie vonNatalie vonGoetzKulmala, MarkkuMarkkuKulmalaLittle, John C.John C.Little2022-03-062022-03-062021https://publica.fraunhofer.de/handle/publica/26556410.1021/acs.est.0c02329A 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.enanatomyatmospheric chemistrypartition coefficientmaterialsgases674628journal article