Comprehensive characterization of volatile compounds in Iranian black teas using chemometric analysis of GC-MS fingerprints.
Ontology highlight
ABSTRACT: Black tea, a widely popular non-alcoholic beverage, is renowned for its unique aroma and has attracted significant attention due to its complex composition. However, the chemical profile of Iranian tea remains largely unexplored. In this research, black tea samples from key tea cultivation regions in four geographical areas in northern Iran were firstly analyzed using headspace solid-phase microextraction followed by gas chromatography-mass spectrometry (HS-SPME-GC-MS) to separate, identify, and quantify their volatile organic compounds. Subsequently, employing a robust investigative strategy, we utilized for the first time the well-known multivariate curve resolution-alternating least square (MCR-ALS) method as a deconvolution technique to analyze the complex GC-MS peak clusters of tea sa
SUBMITTER: Aminianfar A
PROVIDER: S-EPMC11471522 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA