Advanced GCxGC strategies for detailed olefin analysis in plastic pyrolysis fuels, combining derivatization and adsorption for accurate hydrocarbon characterization.

This week we bring you application notes by Agilent Technologies and Shimadzu, brochure by BaySpec and presentation by MDCW / William & Mary!

GC Duo simplifies GC×GC–MS data processing using PARAFAC-based algorithms, enabling feature detection, deconvolution, and accurate identification in complex datasets.

This week we bring you application notes by Agilent Technologies, BaySpec, and Shimadzu and presentation by MDCW / SepSolve!

A chemometric workflow combining tile-based F-ratio and P-test enables comprehensive peak detection in GC×GC–MS, generating sample-specific peak tables for complex petroleum analysis.

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

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

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

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.