地黄不同炮制品指纹图谱模式识别及多成分含量测定

doi:10.14088/j.cnki.issn0439-8114.2023.09.025

湖北农业科学 ›› 2023, Vol. 62 ›› Issue (9): 135-141.doi: 10.14088/j.cnki.issn0439-8114.2023.09.025

地黄不同炮制品指纹图谱模式识别及多成分含量测定

张丽先¹, 魏悦¹, 李飞飞², 李智宁¹, 张桃桃¹

1.河南省纳普生物技术有限公司,郑州 450000;
2.河南省科学院天然产物重点实验室,郑州 450000

收稿日期:2022-03-22 出版日期:2023-09-25 发布日期:2023-10-24
通讯作者: 魏悦（1983-）,男,河南郑州人,助理研究员,硕士,主要从事中药质量评价及创新中药研究,（电话）0371-55935573（电子信箱）125186147@qq.com。
作者简介:张丽先（1989-）,女,河南郑州人,助理研究员,硕士,主要从事中药新药研发与质量评价研究,（电话）0371-55935573（电子信箱）704271895@qq.com。
基金资助:
河南省科学院预算项目（210913009; 220613105; 230613040）,河南省科技攻关项目（222102310021）

Fingerprint pattern recognition and multi-component content determination of different processed products of Rehmannia glutinosa Libosch.

ZHANG Li-xian¹, WEI Yue¹, LI Fei-fei², LI Zhi-ning¹, ZHANG Tao-tao¹

1. Henan Napu Biotechnology Co., Ltd., Zhengzhou 450000, China;
2 Key Laboratory of Natural Products, Henan Academy of Sciences, Zhengzhou 450000, China

Received:2022-03-22 Online:2023-09-25 Published:2023-10-24

摘要/Abstract

摘要： 建立地黄（Rehmannia glutinosa Libosch.）不同炮制品（鲜地黄、地黄片、生地黄、熟地黄）HPLC指纹图谱及11个指标成分含量测定方法,指认11个共有峰,结合主成分分析（PCA）法和聚类分析（HCA）法分析炮制过程中化学成分变化趋势,为地黄不同炮制品质量评价及药理药效研究奠定基础。结果表明,HPLC指纹图谱结合多指标成分含量测定的方法适用于地黄不同炮制品的HPLC指纹图谱分析,PCA和HCA结果显示,熟地黄明显区别于鲜地黄、地黄片、生地黄,鲜地黄和地黄片在PCA中分为2类,HCA中鲜地黄和地黄片聚为一类;11种指标成分线性关系良好,R²≥0.999 5,11种指标成分含量变化趋势各不相同。HPLC指纹图谱结合多指标成分含量测定的方法反映了地黄炮制过程中的化学成分变化,适用于不同炮制阶段地黄的质量评价,为药理药效研究及质量标记物的发现奠定研究基础。

关键词: 地黄（Rehmannia glutinosa Libosch.）, 炮制, HPLC, 指纹图谱, 含量测定, 模式识别

Abstract: HPLC fingerprint of different processed products of Rehmannia glutinosa （fresh Rehmannia glutinosa, Rehmannia glutinosa tablets, raw Rehmannia glutinosa, and cooked Rehmannia glutinosa） was established and the content of 11 indicator components was determined. 11 common peaks were identified, and principal component analysis （PCA） and cluster analysis （HCA） were combined to analyze the trend of chemical composition changes during the processing, laying a foundation for the quality evaluation and pharmacologica research of different processed products of Rehmannia glutinosa. The results showed that the method of combining HPLC fingerprint with multi indicator component content determination was suitable for the HPLC fingerprint analysis of different processed products of Rehmannia glutinosa. PCA and HCA results showed that cooked Rehmannia glutinosa was significantly different from fresh Rehmannia glutinosa, Rehmannia glutinosa tablets, and raw Rehmannia glutinosa. Fresh Rehmannia glutinosa and Rehmannia glutinosa tablets were classified into two categories in PCA, while fresh Rehmannia glutinosa and Rehmannia glutinosa tablets were clustered into one category in HCA; the linear relationship between the 11 indicator components was good, with R²≥0.999 5. The variation trends of the content of the 11 indicator components were different. The method of combining HPLC fingerprint with multi indicator component content determination reflected the chemical composition changes during the processing of Rehmannia glutinosa, which was suitable for quality evaluation of Rehmannia glutinosa at different stages of processing, laying a research foundation for pharmacological and pharmacological research and the discovery of quality markers.

Key words: Rehmannia glutinosa Libosch., processing, HPLC, fingerprint, content determination, pattern recognition

中图分类号:

R917

张丽先, 魏悦, 李飞飞, 李智宁, 张桃桃. 地黄不同炮制品指纹图谱模式识别及多成分含量测定[J]. 湖北农业科学, 2023, 62(9): 135-141.

ZHANG Li-xian, WEI Yue, LI Fei-fei, LI Zhi-ning, ZHANG Tao-tao. Fingerprint pattern recognition and multi-component content determination of different processed products of Rehmannia glutinosa Libosch.[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(9): 135-141.

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地黄不同炮制品指纹图谱模式识别及多成分含量测定

Fingerprint pattern recognition and multi-component content determination of different processed products of Rehmannia glutinosa Libosch.

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