This week we bring you application notes by Agilent Technologies, Shimadzu and Thermo Fisher Scientific and presentation by LECO /MDCW!

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.

Explore SkinVOCs® sampling and TD-GC×GC/ToFMS for body volatolome analysis. Learn how age, gender, and body location influence skin VOCs for non-invasive health monitoring.

Discover a one-step microwave-assisted method for lipid extraction and derivatization into FAMEs, analyzed by FM-GC×GC-FID. A robust, greener, and faster alternative for complex food matrices.

Vac-HS-SPME/GC×GC-qMS enables sensitive 5-HMF quantification and volatile profiling in honey, offering higher yield, better green metrics, and broader analytical capabilities.

Štěpán Urban’s research shows how GC×GC-MS deciphers human scent into digital signatures for forensic and medical uses—ranging from identity to disease detection.