ORD Scientists Publish Automated Quality Control Workflow for Non-Targeted Analysis (NTA)
The EPA’s Center for Computational Toxicology and Exposure’s (CCTE’s) team and additional EPA collaborators published a paper in Analytical and Bioanalytical Chemistry titled “Automated QA/QC reporting for non-targeted analysis: a demonstration of INTERPRET NTA with de facto water reuse data.” Comprehensive standards do not yet exist to guide NTA quality assurance/quality control (QA/QC) procedures. Furthermore, no single software tool meets the needs for QA/QC review and documentation. To address these needs ORD researchers created “INTERPRET NTA” (Interface for Processing, Reviewing, and Translating NTA data), and show utility on a case study of water reuse NTA data.
CCTE contributors: Jon Sobus, Nickolas Sayre-Smith (ORISE), Alex Chao, Troy Ferland (ORISE), Tyler Carr (ORISE), Heather Whitehead, Matthew Boyce (ORISE), Elin Ulrich, and Tony Williams
Additional contributors: CPHEA’s Jeff Minucci, CEMM’s James McCord; and CESER’s Laura Brunelle and Angela Batt
CCTE Scientists Contribute to Study of Quantitative NTA Estimates of PFAS
CCTE’s Shirley Pu (ORISE), Nickolas Sayre-Smith (ORISE), and Jon Sobus contributed to a study in Analytical and Bioanalytical Chemistry titled “Examining environmental matrix effects on quantitative non-targeted analysis estimates of per- and polyfluoroalkyl substances.” While NTA outputs are often qualitative, concentration estimation is now possible using quantitative non-targeted analysis (qNTA) approaches. This study used a set of 19 PFAS to examine the impacts of drinking water and waste-activated sludge matrices on qNTA performance. Results suggest that reliable qNTA studies must use carefully produced matrix-matched calibration data.