Comparison of three officinal species of Callicarpa based on a biochemome profiling strategy with UHPLC-IT-MS and chemometrics analysis

被引:16
作者
Chen, Meng-Lu [1 ]
Chang, Wen-Qi [1 ]
Zhou, Jian-Liang [2 ]
Yin, Ying-Hao [1 ]
Xia, Wen-Rui [1 ]
Liu, Jian-Qun [3 ]
Liu, Li-Fang [1 ]
Xin, Gui-Zhong [1 ]
机构
[1] China Pharmaceut Univ, Dept Chinese Med Anal, State Key Lab Nat Med, 24 Tongjia Lane, Nanjing, Jiangsu, Peoples R China
[2] Zhejiang Inst Food & Drug Control, Hangzhou 310052, Zhejiang, Peoples R China
[3] Jiangxi Univ Tradit Chinese Med, Minist Educ, Key Lab Modern Preparat TCM, 818 Xingwan Rd, Nanchang 330004, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Callicarpa species; Biochemome; IIHPLC-IT-MS; Chemometrics analysis; PERFORMANCE LIQUID-CHROMATOGRAPHY; TRADITIONAL CHINESE MEDICINE; MASS-SPECTROMETRY; PHENYLETHANOID GLYCOSIDES; METABOLOMICS; NUDIFLORA; HERBS; IDENTIFICATION; FLAVONOIDS; SAPONINS;
D O I
10.1016/j.jpba.2017.07.054
中图分类号
O65 [分析化学];
学科分类号
070302 [分析化学];
摘要
Traditional Chinese medicine (TCM) materials with closely related species are frequently fungible in clinical use. Therefore, holistic comparison of the composition in bioactive compounds is essential to evaluate whether they are equivalent in efficacy. Taking three officinal species of Callicarpa as a case, we proposed and validated a standardized strategy for the discrimination of closely related TCM materials, which focused on the extraction, profiling and multivariate statistical analysis of their biochemome. Firstly, serial liquid-liquid extractions were utilized to prepare different batches of Callicarpa biochemome, and the preparation yields were utilized for the normalization of sampling quantity prior to UHPLC-IT-MS analysis. Secondly, 34 compounds, including 19 phenylethanoid glycosides, 10 flavonoids and 5 terpenoids, were identified based on an untargeted UHPLC-IT-MS method. Thirdly, method validation of linearity, precision and stability showed that the UHPLC-IT-MS system was qualified (R-2 > 0.995, RSD < 15%) for subsequent biochemome profiling. After PCA and PIS-DA analysis, 30 marker compounds were screened and demonstrated to be of good predictability using genetic algorithm optimized support vector machines. Finally, a heatmap visualization was employed for clarifying the distribution of marker compounds, which could be helpful to determine whether the three Callicarpa species are, in fact, equivalent substitutes. This study provides a standardized biochemome profiling strategy for systemic comparison analysis of closely related TCM materials, which shows promising perspectives in tracking the supply chain of pharmaceutical suppliers. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:666 / 674
页数:9
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