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« Previous AbstractModeling the formation and growth of organic films on indoor surfaces    Next AbstractA modular mechanistic framework for estimating exposure to SVOCs: Next steps for modeling emission and partitioning of plasticizers and PFAS »

Environ Sci Technol


Title:"Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework"
Author(s):Eichler CMA; Hubal EAC; Xu Y; Cao J; Bi C; Weschler CJ; Salthammer T; Morrison GC; Koivisto AJ; Zhang Y; Mandin C; Wei W; Blondeau P; Poppendieck D; Liu X; Delmaar CJE; Fantke P; Jolliet O; Shin HM; Diamond ML; Shiraiwa M; Zuend A; Hopke PK; von Goetz N; Kulmala M; Little JC;
Address:"Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States. Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States. Office of Research and Development, U.S. EPA, Research Triangle Park, North Carolina 27711, United States. Department of Building Science, Tsinghua University, Beijing 100084, China. School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510006, China. Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey 08854, United States. International Centre for Indoor Environment and Energy, Department of Civil Engineering, Technical University of Denmark, Lyngby 2800, Denmark. Fraunhofer WKI, Department of Material Analysis and Indoor Chemistry, Braunschweig 38108, Germany. Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki 00014, Finland. University of Paris-Est, Scientific and Technical Center for Building (CSTB), French Indoor Air Quality Observatory (OQAI), Champs sur Marne 77447, France. Laboratoire des Sciences de l'Ingenieur pour l'Environnement - LaSIE, Universite de La Rochelle, La Rochelle 77447, France. Engineering Lab, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States. National Institute for Public Health and the Environment, Center for Safety of Substances and Products, Bilthoven 3720, The Netherlands. Quantitative Sustainability Assessment, Department of Technology, Management and Economics, Technical University of Denmark, Kgs. Lyngby 2800, Denmark. Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States. Department of Earth and Environmental Sciences, University of Texas at Arlington, Arlington, Texas 76019, United States. Department of Earth Sciences, University of Toronto, Toronto, Ontario M5S 3B1, Canada. Department of Chemistry, University of California, Irvine, California 92697, United States. Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Quebec H3A0B9, Canada. Center for Air Resources Engineering and Science, Clarkson University, Potsdam, New York 13699-5708, United States. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York 14642, United States. Federal Office of Public Health, Berne 3003, Switzerland"
Journal Title:Environ Sci Technol
Year:2021
Volume:20201215
Issue:1
Page Number:25 - 43
DOI: 10.1021/acs.est.0c02329
ISSN/ISBN:1520-5851 (Electronic) 0013-936X (Print) 0013-936X (Linking)
Abstract:"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"
Keywords:"*Air Pollutants/analysis *Air Pollution, Indoor/analysis Dust/analysis Humans Organic Chemicals/analysis *Volatile Organic Compounds/analysis;"
Notes:"MedlineEichler, Clara M A Hubal, Elaine A Cohen Xu, Ying Cao, Jianping Bi, Chenyang Weschler, Charles J Salthammer, Tunga Morrison, Glenn C Koivisto, Antti Joonas Zhang, Yinping Mandin, Corinne Wei, Wenjuan Blondeau, Patrice Poppendieck, Dustin Liu, Xiaoyu Delmaar, Christiaan J E Fantke, Peter Jolliet, Olivier Shin, Hyeong-Moo Diamond, Miriam L Shiraiwa, Manabu Zuend, Andreas Hopke, Philip K von Goetz, Natalie Kulmala, Markku Little, John C eng EPA999999/ImEPA/Intramural EPA/ Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Review 2020/12/16 Environ Sci Technol. 2021 Jan 5; 55(1):25-43. doi: 10.1021/acs.est.0c02329. Epub 2020 Dec 15"

 
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