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.

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

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 the FDA's Century Mix, we developed a robust QA/QC system for untargeted GC×GC-TOFMS metabolomics, tracking 100 compounds to improve standardization, reproducibility, and long-term performance.

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.

Our laboratory is equipped with high-end mass spectrometry instruments, which offers services in field of PROTEOMICS and METABOLOMICS.