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不同年份吴茱萸UPLC指纹图谱及多成分化学模式识别研究
引用本文:张崇佩,张依欣,李潮,袁小平,于欢,龚千锋.不同年份吴茱萸UPLC指纹图谱及多成分化学模式识别研究[J].中草药,2019,50(11):2700-2707.
作者姓名:张崇佩  张依欣  李潮  袁小平  于欢  龚千锋
作者单位:江西中医药大学药学院, 江西 南昌 330004,江西中医药大学药学院, 江西 南昌 330004,江西中医药大学药学院, 江西 南昌 330004,江西樟树天齐堂中药饮片有限公司, 江西 樟树 336000,江西中医药大学药学院, 江西 南昌 330004,江西中医药大学药学院, 江西 南昌 330004
基金项目:中药标准化研究项目(ZYBZH-Y-JX-27)
摘    要:目的采用UPLC法建立不同年份吴茱萸指纹图谱,结合化学模式识别技术对其进行分析,并测定其中4种质量差异性标志物的含量,为吴茱萸"陈久者良"的研究提供新的思路和对其质量评价提供依据。方法基于UPLC法建立3种不同年份共47批吴茱萸样品的指纹图谱,采用《中药色谱指纹图谱相似度评价系统》(2012A版)计算相似度,运用主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)对样品进行模式识别。结果建立了47批吴茱萸样品的UPLC指纹图谱(相似度均0.997),标定了40个共有峰,指认了其中12个,运用PCA和OPLS-DA分析,有效区分了3种不同年份的吴茱萸,共筛选出22个质量差异性标志物,并对其中新绿原酸、绿原酸、吴茱萸碱和吴茱萸次碱4种成分的含量进行了测定。结论通过吴茱萸UPLC指纹图谱与多成分化学模式识别技术相结合,能对不同年份的吴茱萸进行有效区分,为吴茱萸"陈久者良"及其质量控制提供参考依据。

关 键 词:吴茱萸  UPLC  指纹图谱  化学模式识别  含量测定  陈久者良
收稿时间:2019/1/6 0:00:00

UPLC fingerprints and multi-component chemical pattern recognition of Euodiae Fructus in different years
ZHANG Chong-pei,ZHANG Yi-xin,LI Chao,YUAN Xiao-ping,YU Huan and GONG Qian-feng.UPLC fingerprints and multi-component chemical pattern recognition of Euodiae Fructus in different years[J].Chinese Traditional and Herbal Drugs,2019,50(11):2700-2707.
Authors:ZHANG Chong-pei  ZHANG Yi-xin  LI Chao  YUAN Xiao-ping  YU Huan and GONG Qian-feng
Institution:School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,Jiangxi Zhangshu Tianqitang Chinese Herbal Pieces Co., Ltd., Zhangshu 336000, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China and School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China
Abstract:Objective To establish fingerprints of Euodiae Fructus in different years by UPLC, analyze them with chemical pattern recognition technology, and determine the content of four quality difference markers, so as to provide new ideas for the research of Euodiae Fructus "Chen Jiuzhiliang" and provide basis for its quality evaluation. Methods The fingerprints of Euodiae Fructus samples in three different years were established based on UPLC method. The similarity was calculated by the Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine (2012A edition), and the pattern recognition was carried out by principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). Results UPLC fingerprints of 47 batches of Euodiae Fructus samples (similarity> 0.997) were established, 40 common peaks were identified and 12 of them were identified. PCA and OPLS-DA analysis were used to effectively distinguish three different years of Euodiae Fructus. A total of 22 quality differential markers were screened, and the content of neochlorogenic acid, chlorogenic acid, evodiamine and rutaecarpine were determined. Conclusion The combination of UPLC fingerprint of Euodiae Fructus and multi-component chemical pattern recognition technology can effectively distinguish Euodiae Fructus in different years and provide reference for"the older, the better" and quality control of Euodiae Fructus.
Keywords:Euodiae Fructus  UPLC  fingerprints  chemical pattern recognition  content determination  the older, the better
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