Studies on HPLC Fingerprint of Safflower by Total Statistical Moment Method and Principal Component Analysis

XIE Xiang-gui1; HE Fu-yuan1; SHI Ji-lian1; WANG Hai-qin1; ZENG Jiao-li1; DUAN Xiao-peng1; SUN Qing-hui1

doi:10.13422/j.cnki.syfjx.2012.18.035

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Studies on HPLC Fingerprint of Safflower by Total Statistical Moment Method and Principal Component Analysis

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- Studies on HPLC Fingerprint of Safflower by Total Statistical Moment Method and Principal Component Analysis
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 18, Issue 18, Pages: 64-69(2012)
- 作者机构：
  
  1. 湖南中医药大学药学院
  2. 中药药性与药效国家中医药管理局重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2012.18.035
  CLC： R284.1
- Published：2012
- 稿件说明：
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[1]谢相贵,贺福元,石继连,王海琴,曾姣丽,段晓鹏,孙青辉.总量统计矩法与主成分分析对红花HPLC指纹图谱的考察[J].中国实验方剂学杂志,2012,18(18):64-69.

XIE Xiang-gui1, HE Fu-yuan1, SHI Ji-lian1, et al. Studies on HPLC Fingerprint of Safflower by Total Statistical Moment Method and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(18): 64-69.
[1]谢相贵,贺福元,石继连,王海琴,曾姣丽,段晓鹏,孙青辉.总量统计矩法与主成分分析对红花HPLC指纹图谱的考察[J].中国实验方剂学杂志,2012,18(18):64-69. DOI： 10.13422/j.cnki.syfjx.2012.18.035.

XIE Xiang-gui1, HE Fu-yuan1, SHI Ji-lian1, et al. Studies on HPLC Fingerprint of Safflower by Total Statistical Moment Method and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(18): 64-69. DOI： 10.13422/j.cnki.syfjx.2012.18.035.

摘要

目的:探讨不同来源红花动态指纹图谱规律及适合中药（复方）多成分质量控制的综合评价方法。方法:收集不同来源红花样品32批

以羟基红花黄色素A为对照

RP-HPLC方法建立红花药材指纹图谱

采用总量统计矩相似度法和主成分分析进行评价分析。结果:32批样品中符合2010年版《中国药典》标准的红花20批

总量统计矩法计算其AUCT

MCRTT

VCRTT的平均值分别为4 454 mV.s-1

27.89 min

305.49 min2

RSD分别为22%

4.69%

7.32%;总量统计矩相似度法分析20批合格样品结果为:共有特征峰37个

以5号样品为对照

相似度范围为0.82～0.99

相似度平均值为0.94

RSD5.03%;主成分分析选出7个主因子

其总贡献率为88.72%。结论:总量统计矩相似度法与主成分分析相结合可综合分析红花药材质量及动态变化规律

是一种适合中药质量控制的评价方法。

Abstract

Objective:To study the rule of the dynamic HPLC fingerprints of safflower from different source and find a comprehensive evaluation method suitable for quality control of TCM（or compounds） multicomponent.Method:Thirty-two batches safflower sample were collected and safflower yellow A was used for reference.RP-HPLC was used to establish chromatographic fingerprints for evaluated and analyzed by total quantum statistical moment similarity（TQSMS） and principal component analysis（PCA）.Result:Twenty samples in 32 comply with Chinese pharmacopoeia;the TQSMPM parameters of the AUCT

MCRTT

VCRTT were 4 454 mV · s-1

27.89 min

305.49 min2

and the RSD is 22%

4.69%

7.32% respectively for all.The 20 samples up to standard safflower were analyzed by TQSMS:37 common characteristic peaks

the similarity range of 0.82-0.99 contrasts to the number 5 samples

the average similarity was 0.94

RSD was 5.03%.Seven principal components which accounted for over 88.72% of the total variance were extracted from the original data.Conclusion:TQSMS combined with PCA can comprehensively analyze the quality and dynamic regulation of safflower

and it is an effective method that is fit to the quality evaluation of chemical components group of Chinese medicine.

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Related Author

XIE Xiang-gui

HE Fu-yuan

SHI Ji-lian

WANG Hai-qin

ZENG Jiao-li

DUAN Xiao-peng

SUN Qing-hui

WU Xue

Related Institution

Beijing Hospital of Traditional Chinese Medicine，Capital Medical University，Beijing Institute of Traditional Chinese Medicine， Beijing Evidence-based Chinese Medicine Center

Guang'anmen Hospital， China Academy of Chinese Medical Sciences

Center for Evidence-based Chinese Medicine， Institute of Basic Research in Clinical Medicine，China Academy of Chinese Medical Sciences

School of Pharmacy，Engineering Technology Laboratory for Traditional Chinese Medicine（TCM） Processing and Pharmaceutical Preparation，Supramolecular Mechanism and Mathematic-physics Chracterization for Chinese Materia Medica，Hunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM，Property and Pharmacodaynamic Key Laboratory of TCM， National Administration of TCM，Hunan University of Chinese Medicine

The First Hospital of Hunan University of Chinese Medicine

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