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Comprehensive quality evaluation of Lignum Caraganae and rapid discrimination of Caragana jubata and Caragana changduensis based on characteristic compound fingerprints by HPLC‐UV and HPLC‐MS/MS coupled with chemometrics analysis
Author(s) -
Wang Qiulin,
Wu Xun,
Yang Xuedong,
Zhang Yi,
Wang Lina,
Li Xiaoxue,
Qiu Yan
Publication year - 2020
Publication title -
phytochemical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 72
eISSN - 1099-1565
pISSN - 0958-0344
DOI - 10.1002/pca.2950
Subject(s) - chemistry , chromatography , chemometrics , high performance liquid chromatography , fingerprint (computing) , mass spectrometry , artificial intelligence , computer science
Caragana jubata Poir (CJ) and Caragana changduensis Liou f. (CC) are the two main original plants of Lignum Caraganae (LIC, a clinically effective Tibetan materia medica) and the red heartwoods of CJ and CC have been used for the treatment of polycythemia, hypertension and menstrual disorders. Objective To establish a comprehensive method for rapid quality assessment of LIC based on revealing the characteristic components of LIC and to discriminate the plant sources and LIC from its adulterations. Methodology A multi‐index and synthetically balanced orthogonal design L 9 (3 4 ) experiment was performed to obtain an efficient ultrasonic extraction condition of LIC sample. High‐performance liquid chromatography coupled with an ultraviolet detector (HPLC‐UV) techniques were developed for fingerprinting and quantitative analysis of 14 major compounds in LIC, and the main components were identified by HPLC tandem mass spectrometry (HPLC‐MS/MS). HPLC fingerprint and chemometrics analysis were employed to visualise the distinction and relationship of LIC obtained from CJ and CC and to determine their potential characteristic markers. Results Fourteen compounds including a new compound were identified and quantified in LIC. The potential characteristic markers in LIC were identified based on qualitative and fingerprint analysis. The hierarchical cluster analysis (HCA) and principle component analysis (PCA) showed obvious discrimination between LIC obtained from CJ and CC. Five batches of LIC samples were authenticated, and its adulterations were successfully found. Conclusion A facile HPLC combined with fingerprint and chemometrics methods could rapidly evaluate the quality of LIC and discriminate LIC obtained from CJ and CC.