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马甲子总三萜的HPLC指纹图谱建立、聚类分析和主成分分析及

含量测定 Δ

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陈 旺 ，詹 雁 ，王美慧 ，谭 镭 ，徐超群 （1.成都中医药大学药学院，成都 611137；2.四川省中医药科学
1＊
院，成都 610041）
中图分类号 R284 文献标志码 A 文章编号 1001-0408（2021）02-0201-06
DOI 10.6039/j.issn.1001-0408.2021.02.13

摘 要 目的：建立马甲子总三萜的指纹图谱，进行聚类分析和主成分分析，并测定其中主要成分马甲子素的含量。方法：采用高
效液相色谱法（HPLC）。色谱柱为 Agilent PheHex，流动相为甲醇-0.05％磷酸水溶液（梯度洗脱），检测波长为 320 nm，流速为 1
mL/min，柱温为30 ℃，进样量为5 μL。以马甲子素为参照，绘制10批马甲子总三萜的HPLC指纹图谱，采用《中药色谱指纹图谱
相似度评价系统（2012版）》进行相似度评价，确定共有峰；采用SPSS 26.0软件进行聚类分析和主成分分析。采用同一HPLC法测
定马甲子素的含量。结果：10批马甲子总三萜共有6个共有峰，相似度均大于0.990；指认马甲子素1个特征峰。聚类分析结果显
示，10批马甲子总三萜样品可聚为4类，其中S1为一类、S2为一类、S3～S6为一类、S7～S10为一类。主成分分析结果显示，前2个
主成分的累积方差贡献率为99.430％。综合评分由高到低依次为S1＞S9＞S8＞S7＞S10＞S2＞S3＞S5＞S6＞S4。马甲子素检测
质量浓度的线性范围为33.7～844.0 μg/mL（r＝0.999 9）；精密度、重复性、稳定性（24 h）试验的RSD均小于2％，平均加样回收率为
99.75％（RSD＝1.13％，n＝6）；10批马甲子总三萜样品中马甲子素的平均含量为0.576％～0.712％。结论：所建HPLC指纹图谱和
含量测定方法稳定、可靠，可用于马甲子的质量控制。
关键词 马甲子总三萜；马甲子素；高效液相色谱法；相似度评价；聚类分析；主成分分析；指纹图谱；含量测定

Establishment of HPLC Fingerprint， Cluster Analysis， Principal Component Analysis and Content
Determination of Paliurus ramosissimus Total Triterpenes
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CHEN Wang ，ZHAN Yan ，WANG Meihui ，TAN Lei ，XU Chaoqun （1. College of Pharmacy，Chengdu
University of TCM，Chengdu 611137，China；2. Sichuan Provincial Academy of Chinese Medicine Science，
Chengdu 610041，China）
ABSTRACT OBJECTIVE：To establish fingerprint of Paliurus ramosissimus total triterpenes，and to conduct cluster analysis and
principal component analysis，and to determine the content of the main component paliurusene. METHODS：HPLC method was
adopted. The determination was performed on Agilent PheHex column with mobile phase consisted of methanol-0.05％ phosphoric
acid solution （gradient eluetion） at the flow rate of 1 mL/min. The detection wavelength was set at 320 nm，and column
temperature was 30 ℃ . The sample size was 5 μ L. Using paliurusene as reference，HPLC fingerprints of 10 batches of
P. ramosissimus total triterpenes were drawn. Similarity evaluation was performed by using TCM Chromatographic Fingerprint
Similarity Evaluation System（2012 edition），and the common peaks were confirmed. Cluster analysis and principle component
analysis were performed by using SPSS 26.0 software. The content of paliurusene was determined by same HPLC method.
RESULTS：There were totally 6 common peaks in HPLC fingerprint of 10 batches of P. ramosissimus total triterpenes. The
similarity was more than 0.990；one of six common peaks was identified as paliurusene. The results of cluster analysis showed that
10 batches of samples could be clustered into 4 categories，including S1，S2，S3-S6 and S7-S10. The results of principal
component analysis showed that the accumulative variance contribution rate of primary 2 principal components was 99.430％ .
Comprehensive score ranking was S1＞S9＞S8＞S7＞S10＞S2＞S3＞S5＞S6＞S4. The linear range of paliurusene concentration
was 33.7-844.0 μg/mL（r＝0.999 9）. RSDs of precision，reproducibility and stability（24 h）tests were all lower than 2％. Average
recovery was 99.75％（RSD＝1.13％，n＝6）. The average contents of paliurusene in 10 batches of P. ramosissimus total triterpenes
was 0.576％-0.712％. CONCLUSIONS：Established HPLC fingerprint and content determination method are reliable and stable，
and can be used for the quality control of P. ramosissimus.
Δ 基金项目：国家科技重大专项（民口）课题（No.2018ZX09731-
KEYWORDS Paliurus ramosissimus total triterpenes；
013）；四川省重大科技专项课题（No.2017SZDZX0005）；四川省省级科
Paliurusene；HPLC；Similarity evaluation；Cluster analysis；
研院所基本科研业务费项目
＊硕士研究生。研究方向：中药新制剂、新剂型、新技术应用。电 Principal component analysis； Fingerprint； Content
话：028-85213973。E-mail：932980995@qq.com determination
# 通信作者：研究员，硕士生导师，博士。研究方向：靶向给药系
统。电话：028-85213973。E-mail：chaoqun_xu@sina.com

中国药房 2021年第32卷第2期 China Pharmacy 2021 Vol. 32 No. 2 ·201 ·