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.

Join the 17th Multidimensional Chromatography Workshop in Williamsburg, VA, Jan 13–15, 2026! Register now & submit abstracts by Sept 1 to be part of the program.

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Using HSSE and GC×GC-TOF MS, we investigate volatile migration in packaged oats. Advanced profiling reveals how different packaging materials impact aroma, safety, and product differentiation.