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.

Pixel-based GC×GC-TOFMS preprocessing enables rapid chemometric comparison of Brazilian pre-salt oils, revealing subtle light-hydrocarbon patterns and distinguishing Barra Velha from Itapema.

Peter’s lab combines GC×GC innovation, real forensic workflows, and strong industry partnerships to train students and advance research from fingerprint aging to complex chemical mixture analysis.

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.

Cal State LA upgrades its LECO Complex Chemical Compositional Analysis Lab with the Pegasus BTX GC×GC-TOFMS, boosting research capabilities and hands-on student training in advanced analytical chemistry.

A nontargeted GC×GC-TOFMS workflow for fingermark residue analysis identified 70 compounds and differentiated donors by exogenous materials, enhancing forensic trace evidence studies.

Dr. Petr Vozka’s team at Cal State LA advances forensic fingerprint aging research with GC×GC-TOFMS, supported by the MICROVAP nitrogen evaporator for precise solvent removal.

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.