PFAS Analysis: Advances, Challenges, and the Road Ahead
This digital supplement explores the analytical hurdles laboratories face as PFAS testing pushes into trace-level territory, from a chemical universe spanning millions of structures to persistent background contamination and non-harmonized methods across regulatory bodies. Featured research covers non-targeted screening strategies for identifying unsuspected PFAS in complex food matrices, advanced multisorbent extraction and mass spectrometry workflows for organofluorines in municipal wastewater, and findings that PFAS concentrations in estuaries can shift four- to sevenfold within a single tidal cycle. Additional coverage details the development of fluorinated SPME sorbents for selective extraction of volatile PFAS and a fast GC-MS/MS method capable of detecting 37 PFAS compounds in food packaging in just 8 minutes. Together, these articles offer a data-driven look at emerging tools and techniques designed to keep pace with PFAS's expanding chemical scope and evolving regulatory demands.
How feasible is it to integrate this Bayesian graph-theory methodology into existing commercial chromatography software workflows for semi-automated data curation in routine analytical laboratories?
Gabriel Vivó-Truyols outlines the benefits and challenges of combining graph theory with Bayesian statistics to automate peak assignment and alignment.
This week, Chromatography Online’s coverage spanned lipidomics-based early cancer detection, career paths in separation science, machine learning and uncertainty-driven approaches to LC method development, new EU wastewater rules for pharmaceutical micropollutants, automated Separation Quality Factor (SQF) evaluation in chromatography data systems, and solutions to GLP-1 peptide analysis challenges.
Gabriel Vivó-Truyols from the Spanish Council for Scientific Research, Madrid, Spain. discusses his work on using graph theory and Bayesian statistics for peak assignment and chromatographic alignment.
Gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.