Gas Chromatography

Gas chromatography (GC) is an analytical technique separating volatile compounds based on their interaction with a stationary phase, enabling identification and quantification of individual components within a mixture. Current research focuses on improving data analysis, particularly for complex datasets like those from GC-mass spectrometry (GC-MS) and two-dimensional GC (GCxGC), employing advanced chemometric methods such as multivariate curve resolution, parallel factor analysis (PARAFAC), and convolutional neural networks to address challenges like peak deconvolution and chromatographic drift. These advancements enhance the accuracy and automation of GC analysis, impacting diverse fields ranging from environmental monitoring to metabolomics and planetary exploration.