Geographical origin traceability of Keemun black tea based on its non-volatile composition combined with chemometrics.

摘要: BACKGROUND: Non‐volatile compounds play a key role in the quality and price of Keemun black tea (KBT). The non‐volatile KBT samples from different producing areas normally vary greatly. development rapid methods for tracing geographical origin is useful. In this study, we develop models discrimination KBT's based on compounds. RESULTS: Seventy‐two were collected five towns Anhui province to determine 13 by high‐performance liquid chromatography (HPLC). Analysis variance showed that content indicated significant differences (P < 0.05) among towns. Three multivariate statistical including principal component analysis (PCA), soft independent modeling class analogy (SIMCA), linear discriminant (LDA) built discriminate origin. Principal effectively extracted three components, namely theaflavins, galloylated catechins, simple catechins. high sensitivity (64.5%–99.2%) was achieved SIMCA model. To establish functions, six variables (gallic acid, (+)‐catechin, (−)‐epigallocatechin gallate, theaflavin‐3‐gallate, theaflavin‐3,3′‐di‐gallate, total theaflavins) chosen variables, LDA applied. This gave satisfactory overall correct classification rate (94.4%) cross‐validation (88.9%) samples. CONCLUSION: results HPLC together with chemometrics reliable approach guaranteeing its authenticity. © 2019 Society Chemical Industry