Su Hongna, Li Xuexue, Li Ying, Kong Yuanlin, Lan Jianlong, Huang Yanfei, Liu Yuan
College of Pharmacy, Southwest Minzu University, Chengdu 610225, China.
Key Laboratory of Qinghai-Tibetan Plateau Ethnic Medicinal Resources Protection and Utilization of National Ethnic Affairs Commission, Chengdu 610225, China.
Chin Herb Med. 2022 Nov 24;15(2):317-328. doi: 10.1016/j.chmed.2022.06.009. eCollection 2023 Apr.
To rapidly identify the two morphologies and chemical properties of similar herbal medicines, and as the basis for chemical constituent analysis.
UPLC-Q-Exactive-MS/MS was utilized for profiling and identification of the constituents in and . Chemical pattern recognition (CPR) was further used to compare and distinguish the two herbs and to identify their potential characteristic markers. Then, an HPLC method was established for quality evaluation.
A total of 93 constituents are identified, including 54 phenolic acids, 35 flavonoids, two saccharides, one phenolic acid glycoside, and one other constituent, of which 67 were identified in and for the first time. CPR indicates that and samples can be distinguished from each other based on the LC-MS data. The isochlorogenic acid A to cryptochlorogenic acid peak area ratio calculated from the HPLC chromatograms was proposed as a differentiation index for distinguishing and quality control of and .
This study demonstrates significant differences between and in terms of chemical composition. The results provide a rapid and simple strategy for the comparison and evaluation of the quality of and .
快速鉴别相似草药的两种形态和化学性质，为化学成分分析提供依据。
采用超高效液相色谱-四极杆-静电场轨道阱串联质谱（UPLC-Q-Exactive-MS/MS）对[草药名称1]和[草药名称2]中的成分进行分析和鉴定。进一步运用化学模式识别（CPR）对这两种草药进行比较和区分，并鉴定其潜在的特征性标志物。然后建立高效液相色谱（HPLC）法进行质量评价。
共鉴定出93种成分，包括54种酚酸、35种黄酮类化合物、2种糖类、1种酚酸糖苷和1种其他成分，其中67种是首次在[草药名称1]和[草药名称2]中鉴定出来。化学模式识别表明，基于液相色谱-质谱数据可以区分[草药名称1]和[草药名称2]的样品。提出以高效液相色谱图计算得到的异绿原酸A与隐绿原酸的峰面积比作为区分[草药名称1]和[草药名称2]以及进行质量控制的鉴别指标。
本研究表明[草药名称1]和[草药名称2]在化学成分上存在显著差异。研究结果为[草药名称1]和[草药名称2]的质量比较和评价提供了一种快速简便的策略。
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