文献类型：期刊文献

中文题名：基于HPLC指纹图谱和化学模式识别技术的茵陈五苓散中多成分含量测定研究

英文题名：Study on determination of multi-ingredient contents in Yinchen Wuling Powder based on HPLC fingerprinting and chemical pattern recognition techniques

作者：赵丽娟[1];魏滟蕴[2];郭亮[1];徐晓艳[3];潘新波[1,3]

第一作者：赵丽娟

机构：[1]兰州市第二人民医院肝病研究所,兰州730046;[2]甘肃农业大学动物医学院,兰州730070;[3]甘肃中医药大学药学院,兰州730000

第一机构：兰州市第二人民医院肝病研究所,兰州730046

年份：2025

卷号：47

期号：2

起止页码：221

中文期刊名：国际中医中药杂志

外文期刊名：International Journal of Traditional Chinese Medicine

基金：甘肃省药监局科研项目(2023GSMPA077);兰州市科技发展指导性计划项目(2022-5-145);兰州市卫生健康行业发展项目(2021039);兰州市城关区科技计划项目(2023JSCX0023)。

语种：中文

中文关键词：茵陈五苓散;含量测定(中药);指纹图谱;波长切换;绿原酸;桂皮醛;化学模式识别

外文关键词：Yin Chen Wu Ling San;Assay(TCD);Fingerprints;Wavelength switching;Chlorogenic acid;Cinnamaldehyde;Chemical pattern recognition

摘要：目的建立茵陈五苓散指纹图谱和多成分含量测定方法,结合化学模式识别技术评价其质量。方法采用波长切换HPLC法建立茵陈五苓散指纹图谱,测定新绿原酸、绿原酸、异绿原酸B、异绿原酸A、异绿原酸C、肉桂酸、桂皮醛7个成分含量,并进行主成分分析和PLS-DA,筛选质量差异标志物。结果24批样品茵陈五苓散指纹图谱标定20个共有峰,共指认出7个成分,24批样品与对照图谱相似度为0.966~0.994;归属性分析表明,色谱峰1、2、3归属于茵陈和泽泻,峰4(新绿原酸)、峰5、峰6、峰7(绿原酸)、峰8、峰9、峰10、峰11、峰12、峰13、峰14(异绿原酸B)、峰15(异绿原酸A)、峰16(异绿原酸C)、峰19为茵陈特征峰,峰17(肉桂酸)、峰18(桂皮醛)、峰20为桂枝特征峰。主成分分析将24批样品分为4类,PLS-DA确定异绿原酸B、新绿原酸等11个质量差异标志物。结论建立的指纹图谱和含量测定方法准确度高、重复性好,可为茵陈五苓散的质量评价提供参考。
Objective To establish the HPLC fingerprints and multi-component content determination method of Yinchen Wuling Powder;To evaluate the quality of Yinchen Wuling Powder combined with chemical pattern recognition technology.Methods A wavelength-switching HPLC method was used to establish the fingerprint profiles of different batches of Yinchen Wuling Powder and determine the contents of seven components of neochlorogenic acid,chlorogenic acid,isochlorogenic acid B,isochlorogenic acid A,isochlorogenic acid C,cinnamic acid,cinnamaldehyde.Principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA)were applied to evaluate the quality.Quality difference biomarkers were screened.Results The fingerprint profiles of 24 batches of Yinchen Wuling Powder were identified with 20 common peaks,and 7 components were recognized.The similarity between the 24 batches of samples and the control profile was 0.966-0.994,and the attribution analysis showed that peaks 1,2,3 were common to Artemisia Scoparia and Alismatis Rhizoma.Chromatographic peaks 4(neochlorogenic acid),5,6,7(chlorogenic acid),8,9,10,11,12,13,14(isochlorogenic acid B),15(isochlorogenic acid A),16(isochlorogenic acid C),and 19 were from Artemisia Scoparia,and peaks 17,18 and 20 were from Cinnamomi Ramulus.Principal component analysis classified the 24 batches of samples into 4 categories,and partial least squares discriminant analysis was used to determine 11 quality difference biomarkers,including isochlorogenic acid B and neochlorogenic acid.Conclusions The established method of determining fingerprint and multi-component content is accurate and with good repeatability.The results can provide a certain basis for the quality evaluation of Yinchen Wuling Powder.