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
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篇名: 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
TITLE: Quality evaluation of Plantago asiatica and fried Plantago asiatica based on fingerprint and analysis of chemical pattern recognition
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SPSS25.0、SIMCA-P14.1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。
ABSTRACT: OBJECTIV E To establish the method for evaluating the quality o f Plantago asi atica 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 S 1-S5 as one,S16-S20 as one ,S6-S15 and S 21-S30 as one . The results of the pri ncipal component analysis showed that the cumulative variance contribution rate of the first two principal components was 82.575% . The results of the orthogonal partial least squares regression analysis showed that the VIP values of the three common peaks were greater than 1,namely peak E(acteoside), peak D (geniposidic acid ) and peak G. CONCLUSIONS Established fingerprints are stable ,simple sina.com and rapid. It can be used for the quality evaluation of P. asiatica and fried P. asiatica ,by combining with analysis of chemical pattern recognition. Acteoside ,geniposidic acid and the component represented by peak G may be the markers affecting the difference in quality of P. asiatica and fried P. asiatica .
期刊: 2022年第33卷第14期
作者: 何子骥,伍斌玺,李雨昕,沈志滨,刘奇越,王秋红
AUTHORS: HE Ziji,WU Binxi,LI Yuxin,SHEN Zhibin ,LIU Qiyue,WANG Qiuhong
关键字: 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
KEYWORDS: Plantago asiatica ;fried Plantago asiatica ;HPLC;fingerprint;analysis of chemical pattern recognition ;quality
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