Fingerprinting of Green Arabica Coffee Volatile Organic Compounds (VOCs): HS-GC-IMS Versus GC × GC-MS.

ABSTRACT: This study compared two nontargeted analytical techniques-headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and comprehensive two-dimensional gas chromatography-mass spectrometry (GC × GC-MS)-to fingerprint the volatile organic compounds (VOCs) of green Coffea arabica beans from Ethiopia, Brazil, Nicaragua, and Guatemala. HS-GC-IMS enabled rapid differentiation of samples, detecting VOC signal regions that effectively clustered samples by origin with minimal preparation. GC × GC-MS offered higher chemical resolution, identifying 98 compounds, including methoxypyrazines, aldehydes, and alcohols, which significantly contributed to interorigin variability. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) confirmed the capacity

SUBMITTER: Bordiga M 

PROVIDER: S-EPMC12396915 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature