Quality Control of Organic and Inorganic Compounds of Flavonoids from Inulae Herba Based on Grey Relational Analysis

WANG Yan; LI Tian-jiao; MENG Xian-sheng; BAO Yong-rui; WANG Shuai

doi:10.13422/j.cnki.syfjx.20180613

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Quality Control of Organic and Inorganic Compounds of Flavonoids from Inulae Herba Based on Grey Relational Analysis

更新时间：2024-01-04

- Quality Control of Organic and Inorganic Compounds of Flavonoids from Inulae Herba Based on Grey Relational Analysis
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 24, Issue 7, Pages: 69-74(2018)
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- DOI：10.13422/j.cnki.syfjx.20180613
  CLC： R284.1
- Published：2018
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WANG Yan, LI Tian-jiao, MENG Xian-sheng, et al. Quality Control of Organic and Inorganic Compounds of Flavonoids from Inulae Herba Based on Grey Relational Analysis[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(7): 69-74.
DOI：

WANG Yan, LI Tian-jiao, MENG Xian-sheng, et al. Quality Control of Organic and Inorganic Compounds of Flavonoids from Inulae Herba Based on Grey Relational Analysis[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(7): 69-74. DOI： 10.13422/j.cnki.syfjx.20180613.

摘要

目的：在建立不同产地旋覆花黄酮类有机成分指纹谱和无机成分轮廓谱的基础上，探讨有机成分与无机成分的相关性，为全面控制旋覆花药材的质量提供前期基础。方法：采用高效液相色谱法（HPLC）建立有机成分指纹谱，采用电感耦合等离子体质谱法（ICP-MS）建立无机元素轮廓谱，并通过灰色关联度法探讨两者的相关性。结果：从有机成分指纹图谱中获得18个共有指纹峰；从无机元素轮廓谱中获得13种共有特征元素；灰色相关分析结果显示1号色谱峰与K，Ca相关性最强，2号，17号色谱峰与Na，Mg，Mn相关性最强，4号，13号色谱峰与Zn相关性最强，5号色谱峰与Fe相关性最强，9号，11号色谱峰与Al相关性最强，相关系数均>0.969 0。结论：该研究在控制旋覆花黄酮类有机成分和无机元素含量基础上进行关联分析，二者存在较强相关性，说明控制有机成分含量的同时也可以部分反应无机元素含量高低，为建立一种全面的质量控制方法及系统评价旋覆花药材质量提供实验参考。

Abstract

Objective: To investigate the correlation between organic components and inorganic components by establishing fingerprints of organic components and profiles of inorganic components of flavonoids from Inulae Herba of different origins

and provide a preliminary basis for comprehensive quality control of Inulae Herba. Method: High performance liquid chromatography (HPLC) was used to set up fingerprints of organic compounds

and inductively coupled plasma mass spectrometry (ICP-MS) was employed to set up profiles of inorganic elements. Then grey relational analysis was applied to discuss their relationship. Result: We obtained 18 common fingerprint peaks from the fingerprints of organic compounds and 13 common characteristic elements from the profiles of inorganic components. The results of grey relational analysis showed that No.1 peak had the strongest correlation with K and Ca; No.2 and No.17 peaks had the strongest correlation with Na

Mg and Mn; No.4 and No.13 peaks had the strongest correlation with Zn; No.5 had the strongest correlation with Fe; and No.9 and No.11 peaks had the strongest correlation with Al; with correlation coefficients all greater than 0.969 0. Conclusion: The correlation analysis was carried out on the basis of controlling the content of organic and inorganic elements

and there was a strong correlation between these two

indicating that the control of organic components can also partially react the contents of inorganic elements. All of these could provide a reference for the establishment of a comprehensive quality control method and systemic evaluation of Inulae Herba.

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Related Institution

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（Chengdu University of Traditional Chinese Medicine（TCM），Key Laboratory of Standardization of Traditional Chinese Medicinal Herbs Co-sponsored by Province and Ministry of Education，State Key Laboratory and Breeding Base of Systematic Research，Development and Utilization of TCM Resource Co-sponsored by Province and Ministry of Education，，）

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