Page 42 - 《中国药房》2022年14期

基于指纹图谱和化学模式识别分析的车前子与炒车前子质量

评价 Δ

何子骥 ，伍斌玺 ，李雨昕 ，沈志滨 ，刘奇越 ，王秋红 （1.广东药科大学中药学院，广州 510006；2.黑龙江中
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1
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1＊
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1，2 #
医药大学教育部北药基础与应用研究重点实验室/黑龙江省中药及天然药物药效物质基础研究重点实验室，
哈尔滨 150040；3.广州采芝林药业有限公司，广州 510145）
中图分类号 R917；R284 文献标志码 A 文章编号 1001-0408（2022）14-1700-06
DOI 10.6039/j.issn.1001-0408.2022.14.07

摘 要 目的 建立评价车前子与炒车前子质量的方法。方法 采用高效液相色谱法建立15批车前子与15批炒车前子的指纹图
谱。采用《中药色谱指纹图谱相似度评价系统（2012版）》确定共有峰，并进行相似度评价。采用SPSS 25.0、SIMCA-P 14.1软件进
行化学模式识别分析（包括聚类分析、主成分分析及正交偏最小二乘回归分析），以变量重要性投影（VIP）值大于1为标准，筛选影
响车前子与炒车前子质量差异的标志性成分。结果 15批车前子有18个共有峰，15批炒车前子有13个共有峰，两者共有8个共有
峰，相似度均大于0.920；共指认了2个共有峰，分别为京尼平苷酸、毛蕊花糖苷。聚类分析结果显示，当欧氏距离为10时，30批样
品可聚为3类，其中S1～S5为一类，S16～S20为一类，S6～S15、S21～S30为一类。主成分分析结果显示，前2个主成分的累计方
差贡献率为82.575％。正交偏最小二乘回归分析结果显示，有3个共有峰的VIP值大于1，分别为峰E（毛蕊花糖苷）、峰D（京尼平
苷酸）、峰G。结论 所建指纹图谱稳定、简便快速，结合化学模式识别分析可用于评价车前子与炒车前子的质量。毛蕊花糖苷、京
尼平苷酸和峰G所代表的成分可能是影响车前子与炒车前子质量差异的标志性成分。
关键词 车前子；炒车前子；高效液相色谱法；指纹图谱；化学模式识别分析；质量评价

Quality evaluation of Plantago asiatica and fried Plantago asiatica based on fingerprint and analysis of
chemical pattern recognition
HE Ziji ，WU Binxi ，LI Yuxin ，SHEN Zhibin ，LIU Qiyue ，WANG Qiuhong （1. School of Traditional Chinese
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Medicine，Guangdong Pharmaceutical University，Guangzhou 510006，China；2. Key Laboratory of Foundation
and Application Research of Northern Traditional Chinese Medicine， Heilongjiang University of Chinese
Medicine，Ministry of Education/Heilongjiang Key Laboratory of Traditional Chinese Medicine and Natural
Medicine Pharmacodynamic Material Bases，Harbin 150040，China；3. Guangzhou Caizhilin Pharmaceutical Co.
Ltd.，Guangzhou 510145，China）
ABSTRACT OBJECTIVE To establish the method for evaluating the quality of Plantago asiatica and fried P. asiatica.
METHODS The fingerprints of 15 batches of P. asiatica and 15 batches of fried P. asiatica were established by HPLC. The
common peaks were identified with the Similarity Evaluation System for Chromatographic Fingerprinting of TCM（2012 edition），
and similarity evaluation was performed. Analysis of chemical pattern recognition was performed by using SPSS 25.0 and SIMCA-P
14.1 software（cluster analysis，principal component analysis and orthogonal partial least squares regression analysis）. The markers
which affected the difference in the quality between P. asiatica and fried P. asiatica were screened with variable importance
projection（VIP）value greater than 1. RESULTS There were 18 common peaks in the fingerprints of 15 batches of P. asiatica and
13 common peaks in the fingerprints of 15 batches of fried P. asiatica. A total of 8 common peaks were found in both of them.
Their similarities were greater than 0.920. Two common peaks were identified as geniposidic acid，acteoside. The results of cluster
analysis showed that when the spacing was 10，the 30 batches of samples could be clustered into three categories，with S1-S5 as
one，S16-S20 as one，S6-S15 and S21-S30 as one. The results of the principal component analysis showed that the cumulative
variance contribution rate of the first two principal components
Δ 基金项目 国家自然科学基金资助项目（No.81773904）；国家重
was 82.575％ . The results of the orthogonal partial least
点研发计划-中医药现代化研究项目（No.2018YFC1707100）
squares regression analysis showed that the VIP values of the
＊第一作者 硕士研究生。研究方向：中药炮制原理。电话：
020-39353241。E-mail：554505370@qq.com three common peaks were greater than 1，namely peak E
# 通信作者 教授，博士生导师，博士。研究方向：中药炮制原理、 （acteoside） ， peak D （geniposidic acid） and peak G.
药效物质基础和作用机制。电话：020-39353241。E-mail：qhwang668@ CONCLUSIONS Established fingerprints are stable，simple
sina.com and rapid. It can be used for the quality evaluation of P.

·1700 · China Pharmacy 2022 Vol. 33 No. 14 中国药房 2022年第33卷第14期