Comprehensively feature-based molecular networking and metabolomics approaches to reveal the differences components in Cinnamomum cassia and Cinnamomum verum
文献类型：期刊论文
| 作者 | Wu, Xingdong1,2; Long, Huali1,2; Li, Feifei1,2; Wu, Wenyong1; Zhou, Jing1; Liu, Chen1; Hou, Jinjun1,2 ; Wu, Wanying1,2; Guo, Dean1,2
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| 刊名 | JOURNAL OF SEPARATION SCIENCE
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| 出版日期 | 2021-09-01 |
| 页码 | 12 |
| 关键词 | alkaloids Cinnamomum feature-based molecular networking metabolite profiling proanthocyanidins |
| ISSN号 | 1615-9306 |
| DOI | 10.1002/jssc.202100399 |
| 通讯作者 | Hou, Jinjun(jinjun_hou@simm.ac) ; Wu, Wanying(wanyingwu@simm.ac.cn) |
| 英文摘要 | Cinnamon was been a widely used plant in medicinal and spices for a long time and has spread all over the world. However, the differences in the components of the bark from Cinnamomum cassia and Cinnamomum verum, the two most common types of cinnamon, have not been thoroughly investigated. In the present experiment, ultra-high-performance liquid chromatography LTQ-Orbitrap Velos Pro hybrid mass spectrometer-based metabolomics coupled with chemometrics and feature-based molecular networking were employed to dramatically distinguish and annotate Cinnamomum cassia Bark and Cinnamomum verum bark. As a consequence, principal component analysis, orthogonal projection to latent structures discriminates analysis, and heat map analysis demonstrated clear discrimination between the profiles of metabolites in cinnamon. Besides, as the known compounds, proanthocyanidins (cinnamtannin B1 and procyanidin B2) and alkaloids (norboldine, norisoboldine) with variable importance in the projection scores >6, and an unknown alkaloid (formula C24H33NO6) were selected as the best markers to discriminate cinnamon. Furthermore, large numbers of proanthocyanidins and alkaloids components were identified through feature-based molecular networking for the first time. Our investigation provides new ideas for the discovery of quality markers and identification of unknown components in natural products. |
| WOS关键词 | MASS-SPECTROMETRY ; IN-VIVO ; PROANTHOCYANIDINS ; ALKALOIDS |
| 资助项目 | Research Project of Science and Technology Commission of Shanghai Municipality[18DZ2200800] ; National Key R&D Program of China[2018YFC1707903] ; National Key R&D Program of China[2018YFC1707900] ; National Key R&D Program of China[2018YFC1707905] ; National Key R&D Program of China[2018YFC1707001] |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:000691912200001 |
| 出版者 | WILEY-V C H VERLAG GMBH |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/297803]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Hou, Jinjun; Wu, Wanying |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Mat Med, Natl Engn Lab TCM Standardizat Technol, Shanghai Res Ctr Modernizat Tradit Chinese Med, Haike Rd 501, Shanghai 201203, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xingdong,Long, Huali,Li, Feifei,et al. Comprehensively feature-based molecular networking and metabolomics approaches to reveal the differences components in Cinnamomum cassia and Cinnamomum verum[J]. JOURNAL OF SEPARATION SCIENCE,2021:12. |
| APA | Wu, Xingdong.,Long, Huali.,Li, Feifei.,Wu, Wenyong.,Zhou, Jing.,...&Guo, Dean.(2021).Comprehensively feature-based molecular networking and metabolomics approaches to reveal the differences components in Cinnamomum cassia and Cinnamomum verum.JOURNAL OF SEPARATION SCIENCE,12. |
| MLA | Wu, Xingdong,et al."Comprehensively feature-based molecular networking and metabolomics approaches to reveal the differences components in Cinnamomum cassia and Cinnamomum verum".JOURNAL OF SEPARATION SCIENCE (2021):12. |
入库方式： OAI收割
来源：上海药物研究所
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