Cal State LA and LECO enhance complex chemical analysis with new Pegasus BTX system
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.
Nontargeted Screening of Fingermark Residue Using Comprehensive Two-Dimensional Gas Chromatography–Time-of-Flight Mass Spectrometry for Future Use in Forensic Applications
A nontargeted GC×GC-TOFMS workflow for fingermark residue analysis identified 70 compounds and differentiated donors by exogenous materials, enhancing forensic trace evidence studies.
Enhancing Forensic Fingerprint Analysis: How the MICROVAP Sample Concentrator Aids Solvent Removal
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.
Sex and person identity recognition from GC×GC analysis of scent samples (Jan Hlavsa, MDCW 2025)
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.
Analysis of the Human Scent on Fired Cartridge Cases from a Simulated Crime Scene
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.
What’s in the dust? GC×GC-MS based non-target screening of house dust (Andriy Rebryk, MDCW 2025)
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.
Statistical data processing for GC×GC differentiation of aviation fuels (Christina Kelly, MDCW 2025)
Using GC×GC and statistical tools, researchers highlight differences between alternative and petroleum-based jet fuels, focusing on minor aromatics and heteroatom-containing compounds.
UFP classification, characterization, quantification by DTD-GC×GC-TOFMS (Nadine Gawlitta, MDCW 2025)
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
A Winning Lab - Chemistry professor receives new lab equipment that expands research capacity and student training.
