中成药2026，Vol.48Issue(5)：1444-1450,7.DOI:10.3969/j.issn.1001-1528.2026.05.003
基于HPLC指纹图谱、化学模式识别和含量测定评价黄芩质量
Quality evaluation of Scutellaria baicalensis based on HPLC fingerprints,chemical pattern recognition and content determination
摘要
Abstract
AIM To evaluate the quality of Scutellaria baicalensis Georgi.METHODS The HPLC fingerprints were established,after which cluster analysis and principal component analysis were performed.Baicalin was used as an internal standard to calculate the relative correction factors of scutellarin,wogonoside,baicalein,wogonin,oroxylin A and oroxin A,then their contents were determined by quantitative analysis of multi-components by single-marker(QAMS)method.RESULTS There were 15 common peaks in the fingerprints for 30 batches of medicinal materials with the similarities of 0.821-0.999,7 of which were identified.Various batches of medicinal materials were clustered into two catagories,three principal components demonstrated the accumulative variance contribution rate of 86.049％.Seven constituents showed good linear relationships within their own ranges(r≥0.999 7),whose average recoveries were 93.02％-99.85％with the RSDs of 1.12％-1.98％.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This stable and reliable method can be used for the quality control of S.baicalensis.关键词
黄芩/质量评价/HPLC指纹图谱/化学模式识别/含量测定/一测多评Key words
Scutellaria baicalensis Georgi/quality evaluation/HPLC fingerprints/chemical pattern recognition/content determination/quantitative analysis of multi-components by single-marker(QAMS)分类
医药卫生引用本文复制引用
胡丹东,闻浩,耿征,陈棒..基于HPLC指纹图谱、化学模式识别和含量测定评价黄芩质量[J].中成药,2026,48(5):1444-1450,7.基金项目
国家重点研发计划"科技助力经2020"重点专项(2020YFF0426288) （2020YFF0426288）
北京市延庆区优秀人才培养资助项目(YQRC2024-16) （YQRC2024-16）
