Tile-based analysis of GC×GC–MS data reveals volatile metabolites and metabolic interactions between pathogens, enabling advanced interpretation of complex microbiological datasets.

Discover how regulated drinking water laboratories use GC-MS and LC-MS, rigorous QC protocols, and PFAS-focused workflows to ensure reliable analytical results and protect public health.

Discover how AI-driven GC-MS workflows and predictive spectral libraries enable confident identification of unknown metabolites, integrating molecular-formula estimation and high-resolution GC×GC-TOFMS.

Discover how custom MS libraries and retention index filtering improve GC×GC–MS peak identification, alignment, and data quality in complex samples.

This interview explores how high school students learn separation science through filtration, gravimetric analysis, and chromatography, building the foundations for future chemistry studies.

Integrating GC-O with GC×GC enables a direct link between chemical data and sensory perception. Sample enrichment, two-dimensional separation, and chemometrics improve aroma analysis.

ICP-OES and GC×GC-TOFMS compare new vs. used aircraft oils. Results show >20% phosphorus loss in jet oils and strong lead accumulation in piston oils—highlighting potential cabin-air and handling risks.

GC×GC-HRTOFMS enables fast and reliable screening of PFAS and emerging contaminants in complex consumer goods, combining EI/PCI/NCI and mass defect workflows for confident identification.

GC×GC-TOFMS reveals how yeast strain and honey concentration shape mead aroma. Learn the workflow from headspace sampling to PCA/PCoA/HCA, plus key VOC trends across fermentations.

Advanced chemometric methods reveal subtle, statistically significant changes in complex GC×GC-MS and LC-MS data. Learn how Alteration Analysis and 2D correlation turn massive datasets into actionable insights.