| Title: | A modular mechanistic framework for estimating exposure to SVOCs: Next steps for modeling emission and partitioning of plasticizers and PFAS |
| Author(s): | Eichler CMA; Bi C; Wang C; Little JC; |
| Address: | "Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, VA, USA. claramae@unc.edu. University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, Chapel Hill, NC, USA. claramae@unc.edu. Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, VA, USA" |
| Journal Title: | J Expo Sci Environ Epidemiol |
| DOI: | 10.1038/s41370-022-00419-8 |
| ISSN/ISBN: | 1559-064X (Electronic) 1559-0631 (Linking) |
| Abstract: | "Estimates of human exposure to semi-volatile organic compounds (SVOCs) such as phthalates, phthalate alternatives, and some per- and polyfluoroalkyl substances (PFAS) are required for the risk-based evaluation of chemicals. Recently, a modular mechanistic modeling framework to rapidly predict SVOC emission and partitioning in indoor environments has been presented, in which several mechanistically consistent source emission categories (SECs) were identified. However, not all SECs have well-developed emission models. In addition, data on model parameters are missing even for frequently studied SVOCs. These knowledge gaps impede the comprehensive prediction of the fate of SVOCs indoors. In this paper, sets of high-priority phthalates, phthalate alternatives, and PFAS were identified based on chemical occurrence indoors and additional selection criteria. These high-priority chemicals served as the basis for exploring model parameter availability for existing indoor SVOC emission and partitioning models. The results reveal that additional experimental and modeling work is needed to fully understand the behavior of SVOCs indoors and to predict exposures with greater confidence and lower uncertainty. Modeling approaches to fill some of the identified gaps are proposed. The prioritized sets of chemicals and proposed new modeling approaches will help guide future research. The inclusion of polar phases in the framework will further expand its applicability and scope. IMPACT STATEMENT: This paper compiles data on high-priority chemicals commonly found indoors and information on the availability of applicable models and model parameters to predict emission, partitioning, and subsequent exposure to these chemicals. Modeling approaches for a selection of the missing SECs (source emission categories) are proposed, to illustrate the path forward. The comprehensive data set helps inform researchers, exposure assessors, and policy makers to better understand the state of the science regarding modeling of indoor exposure to semi-volatile organic compounds (SVOCs) and per- and polyfluoroalkyl substances (PFAS)" |
| Keywords: | "*Air Pollution, Indoor/analysis Dust *Fluorocarbons Humans Plasticizers *Volatile Organic Compounds/analysis Chemicals in products Exposure Modeling Pfas Phthalates;" |
| Notes: | "MedlineEichler, Clara M A Bi, Chenyang Wang, Chunyi Little, John C eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review 2022/03/24 J Expo Sci Environ Epidemiol. 2022 May; 32(3):356-365. doi: 10.1038/s41370-022-00419-8. Epub 2022 Mar 22" |
