| 刘鑫;宋平顺.基于HPLC含量测定法结合化学统计学对甘肃地产淫羊藿的质量评价体系研究[J].中医药信息,2023,40(8):29-36 |
| 基于HPLC含量测定法结合化学统计学对甘肃地产淫羊藿的质量评价体系研究 |
| Evaluation of Epimedium in Gansu Province Based on HPLC Content Determination and Chemical Statistics |
| 投稿时间：2023-02-09 录用日期：2023-03-13 |
| DOI：10.19656/j.cnki.1002-2406.20230805 |
| 中文关键词: 淫羊藿 含量测定 主成分分析 聚类分析 偏最小二乘判别分析 质量评价 |
| 英文关键词: Epimedium Content determination Principal component analysis Cluster analysis Partial least squares discriminant analysis Quality evaluation |
| 基金项目:甘肃省药品监督管理局药品科研项目（2021GSMPA-KL01、2021GSMPA-KL02）；国家重点研发计划“中医药现代化研究”重点专项（2019YMC1711500） |
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| 中文摘要: |
| 通过HPLC法测定不同产区淫羊藿中淫羊藿总黄酮醇苷、淫羊藿总黄酮、浸出物的含量差异，同时结合计量统计学分析方法，科学的对不同区域淫羊藿进行质量评价。方法：采用HPLC法检测甘肃省不同产地淫羊藿、柔毛淫羊藿、制淫羊藿等37个品种的化学成分，并且结合化学计量学的分析方法[主成分分析（principal component analysis,PCA）、聚类分析（cluster analysis,CA）、正交偏最小二乘法判别分析（orthogonal partial least square discriminate analysis,OPLS-DA）]对37个产地的淫羊藿进行质量评价研究。结果：SPSS软件对主成分进行分析，共得到3个主成分，其方差贡献率83.868%，依据主成分计算最后得分，得到定西的淫羊藿样品整体较好，其次是陇南、天水、平凉、庆阳及甘南；选择平方欧式距离作为测度进行聚类分析，同时运用多变量统计软件SIMCA14.1分析，结果 CA和PCA结果基本一致；最后采用监督模式识别，偏最小二乘法得R2回归线截距0.008 67,Q2截距为-0.196,R2> Q2，且Q2为负值，说明预测能力较好，说明产地分类的合理性。结论：HPLC含量测定法结合化学统计学可全面反映甘肃地产淫羊藿质量及品质特色的标准体系，为合理开发野生资源，建立淫羊藿生产加工基地，确保岷州淫羊藿的道地优质性提供技术支撑。 |
| 英文摘要: |
| Objective： To determine the content difference of total flavonoid glycosides， total flavone and extract of Epimedium in different regions by using HPLC and to scientifically evaluate quality of Epimedium in different regions by metrological analysis method. Methods： HPLC was used to determine the chemical constituents of Epimedium， Epimedium pubescens Maxim. and prepared Epimedium from different producing areas in Gansu province； stoichiometric methods，including principal component analysis （PCA）， cluster analysis （CA） and orthogonal partial least square discriminate analysis （OPLS－DA） were applied to evaluate the overall quality of 37 different varieties of Epimedium. Results： The principal components were analyzed by SPSS software， and 3 principal components were obtained， whose variance contribution rate reached 83. 868%. According to the final score calculated based on the principal components， the results showed that the whole sample of Epimedium in Dingxi was better， followed by Longnan， Tianshui， Pingliang， Qingyang and Gannan. The square Euclidean distance was selected as the measure for cluster analysis， and the multivariate statistical software SIMCA14. 1 was used to analyze the data. The results of CA and PCA were basically consistent. Finally， by using supervised pattern recognition and partial least square method， the intercept of R2 regression line was 0. 008 67， the intercept of Q2 was -0. 196， and R2 > Q2 . Q2 was negative， indicating that the prediction ability was good， and finally explained the rationality of origin classification. Conclusion： Content detection by HPLC combined with chemical statistics can comprehensively reflect the standard system of quality and quality characteristics of Epimedium in Gansu， which provides a technical support for the rational development of wild resources， the base for production and processing of Epimedium and the guarantee for optimal property of Epimedium. |
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