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.

Pilot study shows human scent can survive firing on cartridge cases. Using olfactronics and olfactorics, traces were matched to volunteers to reveal who loaded the weapon.

Non-target screening of indoor dust revealed 2500+ contaminants, including phthalates and COVID-19-related chemicals. Samples from 4 cities show distinct pollutant profiles. Workflow under development.

Using GC×GC and statistical tools, researchers highlight differences between alternative and petroleum-based jet fuels, focusing on minor aromatics and heteroatom-containing compounds.

Ultrafine particles (UFP) <100 nm pose health risks due to deep lung penetration. This study uses DTD-GC×GC-TOFMS to reveal PAH profiles in ambient air UFP sampled in Augsburg, Germany, in 2023.

A Winning Lab - Chemistry professor receives new lab equipment that expands research capacity and student training.

On the second day of MDCW 2025 we saw 10 scientific presentations, 9 flash talks, a poster session and a guided discussion.

On the first day of MDCW 2025 we saw 10 scientific presentations, 10 flash talks, a poster session and a guided discussion.