Session | ||
Wed3-3: PFAS: Characterization
| ||
Presentations | ||
PFAS Identification: Communicating Confidence in HRMS Applications 1Iowa State University, United States of America; 2Carnegie Mellon University, United States of America; 3University of Missouri, United States of America; 4Oregon State University, United States of America; 5The University of Queensland, Australia; 6National Institute of Standards and Technology, United States of America; 7University of Luxembourg, Luxembourg; 8Cornell University, United States of America; 9Colorado School of Mines, United States of America Accumulation of PFAS at the surface microlayer and in naturally occurring foams University of Wisconsin-Madison, United States of America Establishing a reproducible Raman spectral library for per- and polyfluoroalkyl substances extracted in organic solvents 1Environmental Chemistry and Technology Program, University of Wisconsin–Madison, Madison, WI, 53706, USA; 2Department of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, WI, 53706, USA Identifying Diagnostic Fingerprints for PFAS Source Allocation using Machine Learning Techniques 1School of Civil and Environmental Engineering, Cornell University; 2Chemistry Department, Oregon State University; 3Biological and Ecological Engineering, Oregon State University; 4National Institutes of Standards and Technology; 5Department of Civil, Construction, and Environmental Engineering, North Carolina State University; 6Enviromental Engineering, Iowa State University; 7Department of Civil and Environmental Engineering, Colorado School of Mines; 8Department of Environmental and Molecular Toxicology, Oregon State University Sunrise of PFAS Replacements – The Case of Fluorine-free Foams (F3) US EPA / Rice University, United States of America |