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基于HPLC指纹图谱鉴别四个不同品种的金银花叶
引用本文:童凯,沈国强,黄月,李洁媛,曾繁富,闫蒙,甘婉莹,李东.基于HPLC指纹图谱鉴别四个不同品种的金银花叶[J].现代食品科技,2021,37(3):294-300.
作者姓名:童凯  沈国强  黄月  李洁媛  曾繁富  闫蒙  甘婉莹  李东
作者单位:(1.四川轻化工大学生物工程学院,四川宜宾 644000) (2.酿酒生物技术及应用四川省重点实验室,四川宜宾 644000)
基金项目:大学生创新创业训练计划项目(cx2019060);酿酒生物技术及应用四川省重点实验室资助项目(NJ2017-12);四川轻化工大学校级科研项目(2018RCL26)
摘    要:利用金银花叶的化学物质群差异,开发金银花不同品种之间的鉴别技术。以灰毡毛忍冬、红腺忍冬、“北花1号”金银花、四季金银花的叶片为实验材料,采用高效液相色谱仪(HPLC)构建金银花叶的化学指纹图谱,从中提取了34个特征色谱峰,结合主成分分析、系统聚类分析等多变量统计分析方法,比较分析了4种不同品种的金银花叶的化学物质群差异。结果显示,前两个主成分累计表征了51.3%的原始变量,在主成分得分图上4个不同品种的金银花样品呈现各自相对独立的空间分布特征。聚类分析可将32个供试样品按品种来源及其相似程度聚为4类。相较于四季金银花,“北花1号”品种与之具有最相似化学特征,其次依次为红腺忍冬和灰毡毛忍冬。指纹图谱中的第5、6、7(绿原酸)、8、11、14、16、18、24、29号等10个色谱峰,是各品种金银花叶化学差异的主要来源,可以进一步开发成为稳定的化学标记。本研究所建立的HPLC指纹图谱及其分析方法,可以用于灰毡毛忍冬、红腺忍冬、“北花1号”金银花、四季金银花等不同品种金银花之间的鉴别分析。

关 键 词:HPLC  指纹图谱  金银花  鉴别分析
收稿时间:2020/8/15 0:00:00

Identification of Honeysuckle Leaves from Four Different Genetic Varieties Based on HPLC Fingerprints
TONG Kai,SHEN Guo-qiang,HUANG Yue,LI Jie-yuan,ZENG Fan-fu,YAN Meng,GAN Wan-ying,LI Dong.Identification of Honeysuckle Leaves from Four Different Genetic Varieties Based on HPLC Fingerprints[J].Modern Food Science & Technology,2021,37(3):294-300.
Authors:TONG Kai  SHEN Guo-qiang  HUANG Yue  LI Jie-yuan  ZENG Fan-fu  YAN Meng  GAN Wan-ying  LI Dong
Affiliation:(1.College of Bioengineering, Sichuan University of Science & Engineering, Yibin 644000, China) (2.Liquor Making Bio-Technology & Application of Key Laboratory of Sichuan Province, Yibin 644000, China)
Abstract:The discriminant analysis techniques to distinguish different varieties of honeysuckle leaves were developed based on their differences in chemical composition. Using the leaves of Lonicera macranthoides Hand.-Mazz., L. hypoglauca Miq., Bei Hua 1 L. japonica Thunb. and Si Ji L. japonica Thunb. as experimental materials, high performance liquid chromatography was used to construct chemical fingerprints of honeysuckle leaves. After 34 characteristic chromatographic peaks were extracted, the differences in chemical compositions of the four different varieties of honeysuckle leaves were analyzed and compared in combination with multivariate statistical analyses such as principal component analysis and system cluster analysis. The results revealed that the first two principal components accumulatively represented 51.3% of the original variables, and the principal component score maps of the four different varieties of honeysuckle samples showed relatively independent spatial distribution characteristics. Cluster analysis revealed that the 32 samples were grouped into 4 clusters according to the variety, source and similarity of fingerprints. Compared with Si Ji, Bei Hua 1 resembled the most in chemical characteristics, follow by L. hypoglauca Miq. and L. macranthoides Hand.-Mazz. The ten chromatographic peaks, No. 5, 6, 7 (chlorogenic acid), 8, 11, 14, 16, 18, 24 and 29, in the fingerprint spectra were proved to be the main contributors to the chemical differences among the different varieties of honeysuckle leaves, which can be further developed into stable chemical markers. The HPLC fingerprint and analysis method established in this research can be used for the identification and analysis of different varieties of honeysuckle leaves including Lonicera macranthoides Hand.-Mazz., L. hypoglauca Miq., Bei Hua 1 L. japonica Thunb. and Si Ji L. japonica Thunb.
Keywords:HPLC  fingerprint  honeysuckle  discriminant analysis
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