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Identification of Salvia species using high‐performance liquid chromatography combined with chemical pattern recognition analysis
Author(s) -
Wang Yang,
Jiang Kun,
Wang Lijun,
Han Dongqi,
Yin Guo,
Wang Jue,
Qin Bin,
Li Shaoping,
Wang Tiejie
Publication year - 2018
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201701066
Subject(s) - salvia miltiorrhiza , rosmarinic acid , salvia , traditional medicine , linear discriminant analysis , caffeic acid , chemistry , chromatography , artificial intelligence , traditional chinese medicine , medicine , computer science , biochemistry , alternative medicine , pathology , antioxidant
Salvia miltiorrhiza , also known as Danshen, is a widely used traditional Chinese medicine for the treatment of cardiovascular diseases and hematological abnormalities. The root and rhizome of Salvia przewalskii and Salvia yunnanensis have been found as substitutes for Salvia miltiorrhiza in the market. In this study, the chemical information of 14 major compounds in Salvia miltiorrhiza and its substitutes were determined using a high‐performance liquid chromatography method. Stepwise discriminant analysis was adopted to select the characteristic variables. Partial least squares discriminant and hierarchical cluster analysis were performed to classify Salvia miltiorrhiza and its substitutes. The results showed that all of the samples were correctly classified both in partial least squares discriminant analysis and hierarchical cluster analysis based on the four compounds (caffeic acid, rosmarinic acid, salvianolic acid B, and salvianolic acid A). This method can not only distinguish Salvia miltiorrhiza and its substitutes, but also classify Salvia przewalskii and Salvia yunnanensis . The method can be applied for the quality assessment of Salvia miltiorrhiza and identification of unknown samples.