Abstract
A reversed phase high performance liquid chromatography (RP-HPLC) separation coupled with diode array detection (DAD) and electrospray ionization mass spectrometer (ESI/MS) was developed and optimized for the classification of green teas. Five catechins [epigallocatechin (EGC), epigallocatechin gallate (EGCG), epicatechin (EC), gallocatechin gallate (GCG), epicatechin gallate (ECG)] had been identified and quantified by the HPLC-DAD-ESI/MS/MS method. The limit of detection (LOD) of five catechins was within the range of 1.25-15 ng. All the analytes exhibited good linearity up to 2500 ng. These compounds were considered as chemical descriptors to define groups of green teas. Chemometric methods including principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied for the purpose. Twelve green tea samples originating from different regions were subjected to reveal the natural groups. The results showed that the analyzed green teas were differentiated mainly by provenance; HCA afforded an excellent performance in terms of recognition and prediction abilities. This method was accurate and reproducible, providing a potential approach for authentication of green teas.
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Yu, J., Ye, N., Gu, X., Liu, N. (2009). VALIDATION OF AN HPLC-DAD-ESI/MS/MS METHOD FOR THE CLASSIFICATION OF GREEN TEAS. In: Zhao, C., Li, D. (eds) Computer and Computing Technologies in Agriculture II, Volume 3. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 295. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0213-9_21
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