Tea is one of the most widely consumed beverages in the world, valued not only for its distinctive flavors but also for its potential health benefits. To better understand the quality of tea based on the metabolite profiles, researchers have increasingly employed metabolomic approaches to analyze its chemical composition across various processing methods and tea varieties. Although most studies have focused on targeted metabolomics using liquid chromatography (LC)-based techniques, research utilizing gas chromatography-mass spectrometry (GC-MS) remains limited. Moreover, standardized protocols for applying GC-MS in tea analysis are still lacking. This book chapter aims to address this gap by presenting a GC-MS-based metabolomic workflow, including sample extraction, derivatization, and instrumental parameters for the analysis of nonvolatile metabolites. By offering practical guidance, this chapter supports researchers in using GC-MS as a powerful tool for comprehensive metabolite profiling and expanding chemical coverage in tea research.

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GC-MS-Based Metabolite Profiling Method for Tea

  • Enik Nurlaili Afifah,
  • Shunsuke Miyauchi,
  • Eiichiro Fukusaki

摘要

Tea is one of the most widely consumed beverages in the world, valued not only for its distinctive flavors but also for its potential health benefits. To better understand the quality of tea based on the metabolite profiles, researchers have increasingly employed metabolomic approaches to analyze its chemical composition across various processing methods and tea varieties. Although most studies have focused on targeted metabolomics using liquid chromatography (LC)-based techniques, research utilizing gas chromatography-mass spectrometry (GC-MS) remains limited. Moreover, standardized protocols for applying GC-MS in tea analysis are still lacking. This book chapter aims to address this gap by presenting a GC-MS-based metabolomic workflow, including sample extraction, derivatization, and instrumental parameters for the analysis of nonvolatile metabolites. By offering practical guidance, this chapter supports researchers in using GC-MS as a powerful tool for comprehensive metabolite profiling and expanding chemical coverage in tea research.