Hu Qian-Nan, Tian Chun-Fang, Wei Chao-Fa, Lan Xiao-Yan, Li Xiang, Zhou Li, Qiu Zi-Dong, Zhang Yuan, Zhu Jia-Ming, Li Wen-Yue, Kang Li-Ping
Tianjin University of Traditional Chinese Medicine Tianjin 301617, China State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
Zhongguo Zhong Yao Za Zhi. 2024 May;49(9):2478-2488. doi: 10.19540/j.cnki.cjcmm.20240122.201.
In order to analyze the similarities and differences of chemical compositions between the roots and stems and leaves of Isodon japonicus(IJ), this study utilized UPLC-Q-TOF-MS technology to systematically characterize its chemical compositions, analyzed and identified the structure of its main compounds, and established a method for simultaneous determination of its content by refe-rence substance. A total of 34 major compounds in IJ, including 14 reference compounds, were identified or predicted online. Moreover, an UPLC-UV content determination method was developed for 11 compounds [danshensu, caffeic acid, vicenin-2,(1S,2S)-globoidnan B, rutin,(+)-rabdosiin,(-)-rabdosiin,(1S,2S)-rabdosiin, shimobashiric acid C, rosmarinic acid, and pedalitin]. The method exhibited excellent separation, stability, and repeatability, with a wide linear range(0.10-520.00 μg·mL(-1)) and high linearity(R2>0.999). The average recovery rates ranged from 94.72% to 104.2%. The principal component analysis(PCA) demonstrated a clear difference between the roots and stems and leaves of IJ, indicating good separation by cluster. Furthermore, the orthogonal partial least squares discriminant analysis(OPLS-DA) model was employed, and six main differentially identified compounds were identified: rosmarinic acid, shimobashiric acid C, epinodosin, pedalitin, rutin, and(1S,2S)-rabdosiin. In summary, this study established a strategy and method for distinguishing different parts of IJ, providing a valuable tool for quality control of IJ and a basis for the ratio-nal utilization and sustainable development of IJ.
为分析夏枯草根、茎、叶之间化学成分的异同，本研究采用超高效液相色谱-四极杆飞行时间质谱技术对其化学成分进行系统表征，分析鉴定其主要化合物结构，并建立了对照品同时测定其含量的方法。共鉴定或在线预测出夏枯草中34种主要化合物，其中包括14种对照品。此外，建立了11种化合物[丹参素、咖啡酸、异荭草苷、（1S，2S）-球松素B、芦丁、（+）-夏枯草苷、（-）-夏枯草苷、（1S，2S）-夏枯草苷、岛津酸C、迷迭香酸和芹菜素]的超高效液相色谱-紫外含量测定方法。该方法分离度、稳定性和重复性良好，线性范围宽（0.10 - 520.00μg·mL⁻¹），线性关系良好（R²＞0.999）。平均回收率在94.72%至104.2%之间。主成分分析（PCA）表明夏枯草根、茎、叶之间存在明显差异，聚类分离效果良好。此外，采用正交偏最小二乘法判别分析（OPLS-DA）模型，鉴定出6种主要差异化合物：迷迭香酸、岛津酸C、表夏枯草苷、芹菜素、芦丁和（1S，2S）-夏枯草苷。综上所述，本研究建立了区分夏枯草不同部位的策略和方法，为夏枯草的质量控制提供了有价值的工具，也为夏枯草的合理利用和可持续发展奠定了基础。
