Didi Ma; Lijun Wang; Yibao Jin; Lifei Gu; Xiean Yu ;Xueqing Xie; Guo Yin; Jue Wang; Kaishun Bi; Tiejie Wang

　　（School of Pharmacy, Shenyang Pharmaceutical University; Shenzhen Institute for Drug Control, ;NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine;Shenzhen Key Laboratory of Drug Quality Standard Research）

　　Abstract：Rhodiola, especially Rhodiola crenulate and Rhodiola rosea, is an increasingly widely used traditional medicine or dietary supplement in Asian and western countries. Because of the phytochemical diversity and difference of therapeutic efficacy among Rhodiola species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of Rhodiola crenulate, Rhodiola rosea, and their confusable species (Rhodiola serrata, Rhodiola yunnanensis, Rhodiola kirilowii and Rhodiola fastigiate) was established by UHPLC fingerprints combined with chemical pattern recognition analysis. The results showed that similarity analysis and principal component analysis (PCA) could not achieve accurate classification among the six Rhodiola species. Linear discriminant analysis (LDA) combined with stepwise feature selection exhibited effective discrimination. Seven characteristic peaks that are responsible for accurate classification were selected, and their distinguishing ability was successfully verified by partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), respectively. Finally, the components of these seven characteristic peaks were identified as 1-(2-Hydroxy-2-methylbutanoate) beta-D-glucopyranose, 4-O-glucosyl-p-coumaric acid, salidroside, epigallocatechin, 1,2,3,4,6-pentagalloyglucose, epigallocatechin gallate, and (+)-isolarisiresinol-4 & PRIME;-O-beta-D-glucopyranoside or (+)-isolarisiresinol-4-O-beta-D-glucopyranoside, respectively. The results obtained in our study provided useful information for authenticity identification and classification of Rhodiola species.

　　Keywords:

　　Rhodiola; UHPLC fingerprint; chemical pattern recognition; quality evaluation

　　该论文发表于《MOLECULES》2021年第26卷第21期