Day 3 of MDCW 2026 focused on advanced GC×GC and 2D-LC innovations, from flow-modulated GC×GC-QMS and tensor decomposition to plastic pyrolysis, forensics, bioanalysis, and polymer separations.

Day 2 of MDCW 2026 highlighted the power of multidimensional chromatography, from plastic recycling and pyrolysis to GC×GC-MS automation, 2D-LC in biopharma, PFAS analysis, and thermal desorption.

Day one of MDCW 2026 showcased GC×GC and 2D-LC advances across energy, pharma, PFAS, aroma, and metabolomics, combining keynote insights, oral sessions, posters, and expert discussion.

Beginner’s guide to multidimensional chromatography (GC×GC and LC×LC), covering fundamentals, method development, system components, and hands-on training at MDCW 2026.

Join the 17th Multidimensional Chromatography Workshop (MDCW) in Williamsburg, VA, on Jan 13–15, 2026! Keynotes, posters, flash talks, and discussions — all with free registration.

Christopher Freye (LANL) presents non-targeted PFAS analysis using LC-MS, GC×GC-TOFMS, and HRMS. Novel workflows reveal complex PFAS fingerprints in fluoropolymers and explosives.

Pilot study explores GC×GC-MS/TOF for forensic human scent analysis on cartridge cases. Promising results highlight challenges and future improvements.

This study explores how skin volatile profiles vary across menstrual cycle phases using GC×GC-MS, revealing sex-specific odor cues with implications for health and disease prevention.

Discover a fully automated GC×GC method for sex classification and identity verification of human scent samples with machine learning, achieving 85% accuracy in validation tests.

Discover how GC×GC-TOFMS enables detailed, nontargeted analysis of complex fingermark residues. Learn about method optimization, hidden compound resolution, and forensic applications.