基于指纹图谱、多成分含量测定及化学模式识别的柴胡郁金香颗粒质量评价方法研究  

Research on quality evaluation method of Chaihu Yujinxiang granules based on fingerprint,multi-component determination and chemical pattern recognition

作　　者：姜春凤 孔雪 周星宇 车雪颜 罗文杰 沈星云 高颖[2] 高陆[2,3] JIANG Chun-feng;KONG Xue;ZHOU Xing-yu;CHE Xue-yan;LUO Wen-jie;SHEN Xing-yun;CAO Ying;AO Lu(Jilin Agricultural Science and Technology College,Jilin 132109,China;Changchun University of Traditional Chinese Medicine,Changchun 130117,China;Jilin Modern Chinese Medicine Engineering Research Center Co.,Ltd.,Changchun 130000,China)

机构地区：[1]吉林农业科技学院,吉林132109 [2]长春中医药大学,长春130117 [3]吉林省现代中药工程研究中心有限公司,长春130000

出　　处：《药物分析杂志》2025年第2期201-208,共8页Chinese Journal of Pharmaceutical Analysis

基　　金：吉林省教育厅科学研究项目资助(JJKH20240512KJ)。

摘　　要：目的:基于指纹图谱、多成分含量测定及化学模式识别方式建立柴胡郁金香颗粒的质量评价方法,为其质量控制提供重要依据。方法:运用《中药色谱指纹图谱相似度评价系统(2012版)》建立10批柴胡郁金香颗粒的高效液相色谱(HPLC)指纹图谱,指认共有峰,并进行相似度评价;建立样品中芹糖甘草苷、甘草苷、甘草素、异甘草素4个有效成分的HPLC含量测定方法,并进行含量测定;采用SPSS 26.0、SIMCA 14.1软件对柴胡郁金香颗粒进行聚类分析以及正交偏最小二乘判别分析,以变量重要性投影(VIP)值> 1.0为标准筛选影响柴胡郁金香颗粒质量的差异性成分。结果:建立的指纹图谱、多成分含量测定方法经方法学考察均取得满意的结果。10批柴胡郁金香颗粒的指纹图谱相似度为0.953~0.977,共有11个共有峰,指认了其中4个共有峰。10批柴胡郁金香颗粒中有效成分芹糖甘草苷、甘草苷、甘草素、异甘草素的平均含量分别为2.71、10.17、2.47、1.86 mg·g^(-1)。聚类分析和主成分分析结果表明,10批柴胡郁金香颗粒可聚为2类,其中S3、S6、S8为一类,其余为一类,峰2、9、7、3的VIP值> 1.0。结论:建立的指纹图谱和含量测定方法稳定,可靠,结合化学模式识别技术可用于评价柴胡郁金香颗粒的整体质量,峰2、9、7、3是影响柴胡郁金香颗粒质量的差异性成分。Objective:To establish a quality evaluation method for Chaihu Yujinxiang granules based on fingerprint,multi-component content determination,and chemical pattern recognition,providing important basis for its quality control.Method:The“Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System(2012 Edition)"was used to establish HPLC fingerprints of 10 batches of Chaihu Yujinxiang granules,identify common peaks,and perform similarity evaluation.HPLC method for determining the content of four active ingredients,namely liquiritin apioside,liquiritin,liquiritigenin,and isoliquiritigenin was established.Cluster analysis and orthogonal partial least squares discriminant analysis were conducted on Chaihu Yujinxiang granules using SPSS 26.0 and SIMCA 14.1 software.Dfferential components affecting the quality of Chaihu Yujinxiang granules were screened based on the criterion of variable importance projection(VIP)value>1.0.Result:The established fingerprint and multi-component content determination method achieved satisfactory results after methodological investigation.The similarity of the fingerprint of 10 batches of Chaihu Yujinxiang granules ranges from 0.953 to 0.977,with a total of 11 common peaks,4 of which were identified.The average contents of active ingredients such as liquiritin apioside,liquiritin,liquiritigenin,and isoliquiritigenin in 10 batches of Chaihu Yujinxiang granules were 2.71 mg·g^(-1),10.17 mg·g^(-1),2.47 mg·g^(-1),and 1.86 mg·g^(-1),respectively.The results of cluster analysis and principal component analysis indicates that 10 batches of Chaihu Yujinxiang granules could be clustered into two categories,with S3,S6,and S8 in one category and the rest in another category.The VIP values of peaks 2,9,7,and 3 were above 1.0.Conclusion:The established fingerprint and content determination method are stable and reliable.Combined with chemical pattern recognition technology,they can be used to evaluate the overall quality of Chaihu Yujinxiang granules.Peaks 2,9,7,and 3 are differential

关 键 词：柴胡郁金香颗粒 高效液相色谱法(HPLC) 指纹图谱 多成分含量测定 聚类分析(CA) 正交偏最小二乘判别分析(OPLS-DA) 差异标志物 

分 类 号：R917[医药卫生—药物分析学]