A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis
文献类型：期刊论文
| 作者 | Pan, Huiqin; Yao, Changliang; Yao, Shuai; Yang, Wenzhi; Wu, Wanying ; Guo, Dean
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| 刊名 | JOURNAL OF SEPARATION SCIENCE
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| 出版日期 | 2020-03-01 |
| 卷号 | 43期号:6页码:1043-1050 |
| 关键词 | discrimination and recognition herbal medicine multiple botanical origins pattern recognition |
| ISSN号 | 1615-9306 |
| DOI | 10.1002/jssc.201901064 |
| 通讯作者 | Wu, Wanying(wanyingwu@simm.ac.cn) ; Guo, Dean(daguo@simm.ac.cn) |
| 英文摘要 | Source authentication of herbal medicines was essential for ensuring their safety, efficacy and quality consistency, especially those with multiple botanical origins. This study proposed a metabolomics strategy for species discrimination and source recognition. Uncariae Rammulus Cum Uncis, officially stipulating the stems with hooks of five Uncaria species as its origins, was taken as a case study. Firstly, an untargeted MSE method was developed by ultra-high performance liquid chromatography hyphenated with quadrupole time-of-flight mass spectrometry for global metabolite characterization. Subsequently, data pretreatment was conducted by using Progenesis QI software and screening rules. The obtained metabolite features were defined as variables for statistical analyses. Principal component analysis and chemical fingerprinting spectra suggested that five official species were differentiated from each other except for Uncaria hirsuta and Uncaria sinensis. Furthermore, orthogonal partial least squares discrimination analysis was performed to discriminate confused two species, and resulted in the discovery of nine contributing markers. Ultimately, a Support Vector Machine model was developed to recognize five species and predict origins of commercial materials. The study demonstrated that the developed strategy was effective in discrimination and recognition of confused species, and promising in tracking botanical origins of commercial materials. |
| WOS关键词 | MASS-SPECTROMETRY ; QUALITY ASSESSMENT ; INDOLE ALKALOIDS ; CHINESE ; CLASSIFICATION ; DISCOVERY ; RHIZOMA ; MARKERS |
| 资助项目 | National Key R&D Program of China[2018YFC1707900] ; National Natural Science Foundation of China[81673591] |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:000520616200003 |
| 出版者 | WILEY-V C H VERLAG GMBH |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/280870]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Wu, Wanying; Guo, Dean |
| 作者单位 | Chinese Acad Sci, Shanghai Inst Mat Med, Natl Engn Lab TCM Standardizat Technol, Shanghai Res Ctr Modernizat Tradit Chinese Med, 501 Haike Rd, Shanghai 201203, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Huiqin,Yao, Changliang,Yao, Shuai,et al. A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis[J]. JOURNAL OF SEPARATION SCIENCE,2020,43(6):1043-1050. |
| APA | Pan, Huiqin,Yao, Changliang,Yao, Shuai,Yang, Wenzhi,Wu, Wanying,&Guo, Dean.(2020).A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis.JOURNAL OF SEPARATION SCIENCE,43(6),1043-1050. |
| MLA | Pan, Huiqin,et al."A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis".JOURNAL OF SEPARATION SCIENCE 43.6(2020):1043-1050. |
入库方式： OAI收割
来源：上海药物研究所
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