中药材2017，Vol.40Issue(11)：2563-2568,6.DOI:10.13863/j.issn1001-4454.2017.11.015
基于偏最小二乘法判别分析(PLS-DA)的补骨脂炮制前、后组成二神丸提取物的指纹图谱研究和指标成分的定量分析
Fingerprint Based on PLS-DA and Quantitative Analysis of Potential Index Components in Ershenwan Extracts Containing Unprepared and Prepared Psoraleae Fructus
摘要
Abstract
To identify Ershenwan petroleum ether extracts which containing the Psoraleae Fructus before and after preparing,and to evaluate the quality of extracts, through combining Chemometrics with fingerprint established. Methods: Discriminant analysis of partial least squares(PLS-DA) with fingerprints was carried out, and high performance liquid chromatography(HPLC) was adopt for qualitative identification and quantitative analysis. Results: The PLS-DA model was reliable and well predicted. The statistics had shown that Er shenwan extracts and prepared extracts could be distinguished obviously,with 16 potential differentiated chromatographic peaks. Moreover,six components were identified with standard substance,and four of them were found to be the biggest contributors.Meanwhile the method of determination content was established and variation tendency was revealed based on ten batches of medicinal materials before and after preparing, including four components increasing and two decreasing. Conclusion: The method has comprehensively reflected information about chemical components and the differences between the crude and prepared,which can be utilized to control inner quality of Er shenwan extracts from qualitative and quantitative analysis, furthermore providing reference for extract quality evaluation and control.关键词
偏最小二乘法判别分析/补骨脂/二神丸/炮制/指纹图谱/定量分析Key words
Discriminant analysis of partial least squares/Psoraleae Fructus/Ershenwan/Preparing/Fingerprint/Quantitative analysis分类
医药卫生引用本文复制引用
熊瑞,郑凯旋,李艺丹,张婷婷,李文兵,胡昌江..基于偏最小二乘法判别分析(PLS-DA)的补骨脂炮制前、后组成二神丸提取物的指纹图谱研究和指标成分的定量分析[J].中药材,2017,40(11):2563-2568,6.基金项目
国家基础科学人才培养基金项目(J13100340-17) （J13100340-17）
国家自然科学基金面上项目(81274035) （81274035）
