枸杞子HPLC指纹图谱及其化学模式识别研究
The study of HPLC fingerprint and chemical pattern recognition of Lycii fructus
查看参考文献21篇
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文摘
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为建立枸杞子的HPLC指纹图谱和产区识别模型,为枸杞子样品的产区预测提供参考。采用依利特Sepherisorb ODS C_(18)(250 mm × 4.6 mm,5 μm)色谱柱,以0.3%冰乙酸水-乙腈为流动相,梯度洗脱;柱温:25 ℃;流速:1 mL/min;检测波长:310 nm;利用"中药色谱指纹图谱相似度评价系统(2012版)"对5个产区34批枸杞子样品进行相似度评价,利用SIMCA 14.1软件进行聚类分析(CA),主成分分析(PCA)和正交偏最小二乘(OPLS)分析。确定了28个HPLC指纹图谱共有峰;相似度评价结果表明由于产区地理生态环境的差异导致不同产区样品之间的不同,聚类分析结果表明同一产区的样品可以很好的聚为一类;主成分分析载荷图确定P12、P23和P26为不同产区枸杞子的差异性化合物。通过正交偏最小二乘法建立了枸杞子产区识别模型,模型判别率为89.0%,准确的预测了9个产区的枸杞子。本方法简便,稳定可靠,可用于枸杞子药材的产区判别。 |
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其他语种文摘
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The aim of this work is to establish a HPLC fingerprint and region identification model of Lycii fructus,and to providie reference for prediction of samples production areas.The analysis was performed on an Elite Sepherisorb ODS C_(18) (250 mm × 4.6 mm,5 μm) column.The mobile phase was consisted of water containing 0.3% glacial acetic acid and acetonitrile.The column temperature was set as 25 ℃.The flow rate was 1.0 mL/min and the detection wavelength was 310 nm.The similarities of Lycii fructus samples (34 batches collected from five different production areas) were evaluated by the software of "Similarity Evaluation System for Chromatographic Fingerprint of TCMs (2012 version)".The cluster analysis (CA),principal component analysis (PCA) and orthogonal partial least squares (OPLS) analysis were performed by the SIMCA 14.1 software.In this study,28 common peaks in the HPLC fingerprints were determined.The similarity evaluation results indicated that the Lycii fructus samples of different origins have significant differences due to the variously geographical and ecological environment of the production areas.The results of cluster analysis showed that Lycii fructus samples from the same production area can be well clustered into one class.Principal component analysis determined that P12,P23 and P26 were the differential compounds of samples from different areas.The discrimination model of the production areas was established by orthogonal partial least squares method.The model discrimination rate was 89.0%,and the Lycii fructus samples of nine production areas were accurately predicted.This method is simple,stable and reliable.And it can be used for prediction of Lycii fructus from different production area. |
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来源
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天然产物研究与开发
,2019,31(10):1675-1681 【核心库】
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DOI
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10.16333/j.1001-6880.2019.10.002
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关键词
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枸杞子
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指纹图谱
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主成分分析
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正交偏最小二乘
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产区
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地址
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1.
中国科学院兰州化学物理研究所, 中国科学院西北特色植物资源化学重点实验室;;甘肃省天然药物重点实验室
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甘肃中医药大学药学院, 甘肃省中(藏)药化学与质量研究省级重点实验室, 兰州, 730000
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青岛市资源化学与新材料研究中心, 青岛, 266000
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1001-6880 |
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学科
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中国医学 |
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基金
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甘肃省重点研发计划
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国家重大科技专项
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文献收藏号
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CSCD:6598226
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