首页|骨折挫伤胶囊HPLC指纹图谱及化学模式识别

骨折挫伤胶囊HPLC指纹图谱及化学模式识别

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目的 建立骨折挫伤胶囊的高效液相色谱指纹图谱,并运用化学模式识别对其质量进行评价。方法 采用HPLC-DAD建立骨折挫伤胶囊的指纹图谱,确认主要色谱峰并进行归属,最后通过聚类分析(cluster analysis,CA)、主成分分析(principal component analysis,PCA)以及正交偏最小二乘法判别分析(orthogonal partial least squares discriminant analysis,OPLS-DA)模型进行分析。结果75批骨折挫伤胶囊的相似度为0。685~0。986,共标记了 26个共有峰,指认了其中6个成分,分别为羟基红花黄色素A(1号峰)、阿魏酸(6号峰)、芦荟大黄素(15号峰)、大黄素(19号峰)、大黄酚(24号峰)和大黄素甲醚(26号峰);CA可分为5类;PCA和OPLS-DA筛选出13个主要差异贡献成分,通过成分归属说明控制红花的质量对于确保骨折挫伤胶囊质量稳定具有重要作用。结论 建立的HPLC指纹图谱较为稳定、可靠,能基本反映复方中化学成分的特征,可为骨折挫伤胶囊的质量控制及标准提高提供参考。
HPLC Fingerprint and Chemical Pattern Recognition of Guzhecuoshang capsules
OBJECTIVE To establish HPLC fingerprint of Guzhecuoshang capsules,and its quality was evaluated by chemical pattern recognition.METHODS The HPLC-DAD method was used to establish the fingerprint of Guzhecuoshang capsules.The main chromatographic peaks were confirmed and assigned,and finally analyzed them through cluster analysis(CA),principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)models.RESULTS The similarity of 75 batches of Guzhecuoshang capsules was covered from 0.685 to 0.986.A total of 26 common peaks were marked,and 6 components were identified respectively:hydroxysafflor yellow A(peak 1),ferulic acid(peak 6),aloeemodin(peak 15),emodin(peak 19),chrysophanol(peak 24)and physcion(peak 26).CA could be divided into five categories.The PCA and OPLS-DA screened out 13 main differentially contributing components,and it was indicated by the attribution of components that controlling the quality of safflower play an important role in ensuring the stability of the quality of Guzhecuoshang capsules.CONCLUSION The established HPLC fingerprint is relatively stable and reliable,which can basically reflect the characteristics of the chemical components in the compound,and can also provide a reference for the quality control and standard improvement of Guzhecuoshang capsules.

Guzhecuoshang capsulesfingerprintschemical pattern recognition

龚宇、吴芳、刘新、罗定强、丁琳

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陕西省食品药品检验研究院,西安 710000

骨折挫伤胶囊 指纹图谱 化学模式识别

陕西省秦创原"科学家+工程师"队伍建设项目

2023KXJ-128

2024

中国现代应用药学
中国药学会

中国现代应用药学

CSTPCD北大核心
影响因子:0.877
ISSN:1007-7693
年,卷(期):2024.41(5)
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