Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, China.
The National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Biomed Chromatogr. 2022 Aug;36(8):e5392. doi: 10.1002/bmc.5392. Epub 2022 May 11.
Yinqiao powder is a classic and effective prescription for the treatment of many kinds of pneumonia in China. To date, its chemical constituents have not been determined. A comprehensive identification of its chemical constituents provided a structural basis to discover the potential anti-pneumonia ingredients in Yinqiao powder. This paper developed an ultra-high-performance liquid chromatography (UHPLC) coupled to quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF-MS/MS) analysis with diagnostic product ions and neutral loss filtering strategy and applied it for the comprehensive chemical profiling of Yinqiao powder, which simplified the structural elucidation of chemical constituents in Yinqiao powder. A total of 124 compounds, comprising 8 C6-C2 glucoside conjugates, 28 iridoid glycosides, 14 lignans, 21 phenylethanol glycosides, 20 triterpenoid saponins, 9 chlorogenic acids, and 24 flavonoids, were rapidly identified in Yinqiao powder, and 32 of these were characterized by comparing their MS/MS data and retention time with reference standards. The results indicated that UHPLC-QTOF-MS/MS method coupled with data filtering strategy was feasible and rational to identify the complex chemical constituents of Yinqiao powder, which would be conducive to discover the active ingredients of Yinqiao powder for the treatment of pneumonia and establish its quality standard.
银翘散是中国治疗多种肺炎的经典有效方剂。迄今为止,其化学成分尚未确定。全面鉴定其化学成分,为发现银翘散中潜在的抗肺炎成分提供了结构基础。本文采用超高效液相色谱(UHPLC)与四极杆飞行时间串联质谱(UHPLC-QTOF-MS/MS)联用技术,结合诊断产物离子和中性丢失过滤策略,对银翘散进行了全面的化学成分分析,简化了银翘散中化学成分的结构解析。共鉴定出 124 种化合物,包括 8 种 C6-C2 糖苷缀合物、28 种环烯醚萜苷、14 种木脂素、21 种苯乙醇苷、20 种三萜皂苷、9 种绿原酸和 24 种黄酮类化合物,其中 32 种通过比较其 MS/MS 数据和保留时间与对照品进行了表征。结果表明,UHPLC-QTOF-MS/MS 方法结合数据过滤策略是鉴定银翘散复杂化学成分的可行且合理的方法,有助于发现银翘散治疗肺炎的活性成分,建立其质量标准。