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| 【英文篇名】 | Evaluation of chromatographic fingerprint of herbal medicine based on principal sensitivity vector regression |
| 【作者】 | 杨锦瑜; 李博岩; 梁逸曾; 许青松; 谢培山; |
| 【英文作者】 | YANG JinYu; LI BoYan; LIANG YiZeng; XU QingSong and XIE PeiShan （College of Chemistry and Chemical Engineering; Research Center of Modernization of Chinese Herbal Medicines; Central South University; Changsha; Hunan; China; College of Mathematics and Econometrics; Hunan University; Guangzhou Institute for Drug Control; Guangzhou; Guangdong; China）; |
| 【单位】 | 中南大学中药现代化研究中心; 湖南大学数学与计量经济学院; 广州市药品检验所; |
| 【刊名】 | 计算机与应用化学 , 编辑部邮箱 2005年 04期 中文核心期刊要目总览 ASPT来源刊 中国期刊方阵 CJFD收录刊 |
| 【英文刊名】 | Computers and Applied Chemistry |
| 【中文关键词】 | 中药指纹图谱; 主灵敏度矢量; 稳健主成分回归; 蒙特卡罗交互检验; |
| 【英文关键词】 | fingerprint of herbal medicine; principal sensitivity vector; robust principal components regression; Monte Carlo cross validation; |
| 【中文摘要】 | 基于主灵敏度矢量稳健主成分回归(RPPSV)和蒙特卡罗交互检验(MCCV)方法对29个不同来源的银杏提取物和33 个不同产地的灯盏花提取物的色谱指纹图谱进行质量评价,分别定性判断出银杏样本数据集中的7个异常样本和灯盏花样本数据集中的4个异常样本。与相关系数法相比,RPPSV具有更好的异常样本检测能力,但是两者评价指纹图谱的结果基本是一致的。 |
| 【英文摘要】 | Robust principal component regression based on principal sensitivity vectors (RPPSV) combined with Monte Carlo cross validation (MCCV) is developed to qualitatively evaluate quality of chromatographic fingerprints of 29 herbal samples extracted from Gink-go biloba from various sources and 33 Erigeron breviscapus herbal samples from different regions in this study. Beyond a given threshold, seven samples have been detected as "outliers" from the data set of Ginkgo biloba and four "outlier" samples from Erige... |