State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
J Pharm Biomed Anal. 2018 Nov 30;161:436-443. doi: 10.1016/j.jpba.2018.09.012. Epub 2018 Sep 5.
Rhizoma Coptidis (RC) originated from the dried rhizomes of Coptis herbal species is a widely used traditional Chinese medicine in history. In this study, a comprehensive quality assessment for RC medicines from C. chinensis, C. deltoidea, C. omeiensis and C. teeta species was performed based on quantitative and qualitative metabolic profiles obtained from high performance liquid chromatography (HPLC), Fourier transform near-infrared (FT-NIR) and Fourier transform mid-infrared (FT-MIR) combined with multivariate statistical analysis. Eight alkaloids including magnoflorine, groenlandicine, jatrorrhizine, columbamine, epiberberine, coptisine, palmatine and berberine were simultaneously identified and determined. Epiberberine, berberine, magnoflorine and groenlandicine were identified as possible index components. FT-NIR and FT-MIR profiles presented the holistic metabolic characterization of RC medicines. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were successively performed to clearly illustrate the metabolic variation and taxonomic relationship among four RC medicines. Additionally, taking berberine as an example, spectral quantification potential was investigated by referring HPLC data, using a conventional partial least squares regression (PLSR) algorithm. Data fusion strategy exhibited a better prediction for this compound than a single technique. Summary, these techniques can complement each other and provide a comprehensive and effective quality assessment for RC originated from different Coptis plants.
黄连来源于黄连属植物的干燥根茎，是历史上广泛使用的一种中药。本研究采用高效液相色谱（HPLC）、傅里叶变换近红外（FT-NIR）和傅里叶变换中红外（FT-MIR）相结合的定量和定性代谢谱分析方法，对来源于黄连、三角叶黄连、峨嵋野连和云南黄连的黄连药材进行了综合质量评估。同时鉴定并测定了 8 种生物碱，包括小檗碱、荷叶碱、药根碱、表小檗碱、黄连碱、巴马汀、白鲜碱和黄柏碱。表小檗碱、盐酸小檗碱、小檗碱和荷叶碱被鉴定为可能的指标成分。FT-NIR 和 FT-MIR 图谱呈现了黄连药材的整体代谢特征。主成分分析（PCA）和层次聚类分析（HCA）的结果成功地说明了四种黄连药材的代谢差异和分类关系。此外，以盐酸小檗碱为例，通过参考 HPLC 数据，采用常规偏最小二乘回归（PLSR）算法，研究了光谱定量的潜力。与单一技术相比，数据融合策略对该化合物具有更好的预测能力。总之，这些技术可以相互补充，为来源于不同黄连属植物的黄连提供全面有效的质量评估。
