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Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework

  • Clara M. A. Eichler
  • , Elaine A Cohen Hubal
  • , Ying Xu
  • , Jianping Cao
  • , Chenyang Bi
  • , Charles J. Weschler
  • , Tunga Salthammer
  • , Glenn C Morrison
  • , Antti Joonas Koivisto
  • , Yinping Zhang
  • , Corinne Mandin
  • , Wenjuan Wei
  • , Patrice Blondeau
  • , Dustin Poppendieck
  • , Xiaoyu Liu
  • , Christiaan J E Delmaar
  • , Peter Fantke
  • , Olivier Jolliet
  • , Hyeong-Moo Shin
  • , Miriam L Diamond
  • Manabu Shiraiwa, Andreas Zuend, Philip K Hopke, Natalie von Goetz, Markku Kulmala, John C Little*
*Corresponding author for this work
  • Virginia Polytechnic Institute and State University
  • United States Environmental Protection Agency
  • Sun Yat-Sen University
  • Tsinghua University
  • Rutgers University
  • Fraunhofer Wilhelm-Klauditz-Institut (WKI)
  • University of North Carolina at Chapel Hill
  • University of Helsinki
  • University of Paris
  • Université de La Rochelle
  • National Institute of Standards and Technology
  • National Institute of Public Health and the Environment
  • University of Michigan
  • University of Texas at Arlington
  • University of Toronto
  • University of California at San Diego
  • McGill University
  • Clarkson University
  • Federal Office of Public Health

Research output: Contribution to journalJournal articleResearchpeer-review

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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.
Original languageEnglish
JournalEnvironmental Science and Technology
Volume55
Issue number1
Pages (from-to)25-43
ISSN0013-936X
DOIs
Publication statusPublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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