Details

Autor(en) / Beteiligte

• Patlewicz, Grace
• Richard, Ann M
• Williams, Antony J
• Grulke, Christopher M
• Sams, Reeder
• Lambert, Jason
• Noyes, Pamela D
• DeVito, Michael J
• Hines, Ronald N
• Strynar, Mark
• Guiseppi-Elie, Annette
• Thomas, Russell S

Titel

A Chemical Category-Based Prioritization Approach for Selecting 75 Per- and Polyfluoroalkyl Substances (PFAS) for Tiered Toxicity and Toxicokinetic Testing

Ist Teil von

• Environmental health perspectives, 2019-01, Vol.127 (1), p.14501-14501

Ort / Verlag

United States: National Institute of Environmental Health Sciences

Erscheinungsjahr

2019

Link zum Volltext

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• Per- and polyfluoroalkyl substances (PFASs) are a group of fluorinated substances of interest to researchers, regulators, and the public due to their widespread presence in the environment. A few PFASs have comparatively extensive amounts of human epidemiological, exposure, and experimental animal toxicity data (e.g., perfluorooctanoic acid), whereas little toxicity and exposure information exists for much of the broader set of PFASs. Given that traditional approaches to generate toxicity information are resource intensive, new approach methods, including high-throughput toxicity (HTT) testing, are being employed to inform PFAS hazard characterization and further ( ) testing. The U.S. Environmental Protection Agency (EPA) and the National Toxicology Program (NTP) are collaborating to develop a risk-based approach for conducting PFAS toxicity testing to facilitate PFAS human health assessments. This article describes the construction of a PFAS screening library and the process by which a targeted subset of 75 PFASs were selected. Multiple factors were considered, including interest to the U.S. EPA, compounds within targeted categories, structural diversity, exposure considerations, procurability and testability, and availability of existing toxicity data. Generating targeted HTT data for PFASs represents a new frontier for informing priority setting. https://doi.org/10.1289/EHP4555.