| Multivariate statistical analysis based on a chromatographic fingerprint for the evaluation of important environmental factors that affect the quality of Angelica sinensis | |
| Department | 中科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 |
Song XY(宋昕玥)1,3 ; Jin L(晋玲)2; Shi YP(师彦平)1; Li YD(李应东)2; Chen J(陈娟)1; Li YD(李应东); Chen J(陈娟)
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| 2014 | |
| Source Publication | Analytical Methods
 |
| ISSN | 1759-9660 |
| Volume | 6Issue:20Pages:8268-8276 |
| Abstract | Multiple components in traditional Chinese medicines (TCMs) have a synergistic action on the therapeutic effects of TCMs and their contents may vary substantially with environmental changes. In this study, an ultra-performance liquid chromatographic (UPLC) fingerprint was established to choose the optimum environmental conditions for the cultivation of Angelica sinensis (A. sinensis). Optimum separation was achieved on a C-18 column (50 x 2.1 mm i.d., 1.7 mu m particles) with a 25 min gradient. The method was applied to establish the chromatographic fingerprint of A. sinensis by analyzing 109 samples cultivated under controlled environmental conditions. A representative standard fingerprint chromatogram was obtained using professional software, in which 30 common peaks were marked. The common peaks for all samples were subjected to principal component analysis with partial least squares discriminant analysis to screen out the peaks related to specific environmental factors. Peaks with areas that showed significant differences under different environmental conditions were screened out and used to obtain the optimum environmental conditions. Our method of integrating the advantages of chromatographic fingerprinting and multivariate statistical analysis can reveal the integral characteristics of herbal medicines. Consequently, it is a comprehensive, scientific method that provides a technical safeguard for the cultivation of herbal medicines. |
| Subject Area | 分析化学与药物化学 |
| DOI | 10.1039/c4ay01438c |
| Funding Organization | the National Key Technology Research and Development Program of China (no. 2011BAI05B02);the National Natural Science Foundation of China (no. 21105106) |
| Indexed By | SCI |
| If | 1.821 |
| Language | 英语 |
| Funding Project | 药物化学成分研究组 |
| compositor | 第一作者单位 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.licp.cn/handle/362003/6939 |
| Collection | 中科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 |
| Corresponding Author | Li YD(李应东); Chen J(陈娟) |
| Affiliation | 1.Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Nat Med Gansu Prov, Key Lab Chem Northwestern Plant Resources, Lanzhou 730000, Peoples R China 2.Gansu Coll Tradit Chinese Med, Lanzhou 730000, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China |
| Recommended Citation GB/T 7714 | Song XY,Jin L,Shi YP,et al. Multivariate statistical analysis based on a chromatographic fingerprint for the evaluation of important environmental factors that affect the quality of Angelica sinensis[J]. Analytical Methods,2014,6(20):8268-8276. |
| APA | Song XY.,Jin L.,Shi YP.,Li YD.,Chen J.,...&陈娟.(2014).Multivariate statistical analysis based on a chromatographic fingerprint for the evaluation of important environmental factors that affect the quality of Angelica sinensis.Analytical Methods,6(20),8268-8276. |
| MLA | Song XY,et al."Multivariate statistical analysis based on a chromatographic fingerprint for the evaluation of important environmental factors that affect the quality of Angelica sinensis".Analytical Methods 6.20(2014):8268-8276. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| AnalMethods-2014(Son（436KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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