摘要
研究并建立不同产地的金银花药材的指纹图谱,并应用系统聚类分析和主成分分析建立金银花药材的化学模式识别方法,以期为金银花药材品质评价与质量控制提供参考。CP-C_(18)色谱柱(5μm,4.6mm×150mm),以乙腈-0.2%磷酸水溶液为流动相进行梯度洗脱,流速为1.0 mL·min^(-1),柱温25℃,检测波长为254nm。16批不同产地的金银花药材有13个共有峰,相似度在0.916~0.990。聚类分析能对不同产地的金银花药材进行有效识别,主成分分析结果与聚类分析结果类似。建立的方法能够成功应用于金银花药材的质量控制与评价及产地识别,可为制定金银花药材质量控制与评价模式提供新的参考依据。
To study and establish the fingerprints of Lonicerajaponica from different producing places by HPLC. The fingerprints of L. japonica were established by using CP-C18 as analytical eolunm and aeetonitrile-0.2% H3 PO4 aqueous in gradient as a mobile phase. The flow rate was 1.0 mL·m^-1 and the detecting wavelength was set at 255 nm. The temperature of eolunm was at 25℃. There were 13 eomnlon peaks in 16 batches of honeysuckle in different producing areas, with a similarity of 0. 916 -0. 990. Cluster analysis can be used to identify- L.japonica in different habitats. The results of principal component analysis are similar to those of cluster analysis. The fingerprints of L. japonica from different producing places by HPLC were established in this experiment. It can be used to analyze and compare the content of active compounds of L.japonica.
作者
宋九华
张艳明
成英
SONG Jiu-hua;ZHANG Yan-ming;CHENG Ying.(Department of Chemistry, Leshan Normal College, Leshan 614004, China)
出处
《化学研究与应用》
CAS
CSCD
北大核心
2018年第5期823-827,共5页
Chemical Research and Application
基金
乐山师范学院科研项目(Z1254)资助
乐山师范学院人才启动项目(Z1516)资助
乐山师范学院校级项目(TRCWYXFZCH2016010)资助
乐山市重点科技计划项目(16NZD043)资助
关键词
金银花
HPLC指纹图谱
聚类分析
主成分分析
Lonicera japonica
HPLC fingerprint
cluster analysis
principal component analysis
