A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis

doi:10.1002/jssc.201901064

	A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis
	Pan, Huiqin; Yao, Changliang; Yao, Shuai; Yang, Wenzhi; Wu, Wanying; Guo, Dean
刊名	JOURNAL OF SEPARATION SCIENCE
	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.
资助项目	National Key R&D Program of China[2018YFC1707900] ; National Natural Science Foundation of China[81673591]
WOS关键词	MASS-SPECTROMETRY ; QUALITY ASSESSMENT ; INDOLE ALKALOIDS ; CHINESE ; CLASSIFICATION ; DISCOVERY ; RHIZOMA ; MARKERS
WOS研究方向	Chemistry
语种	英语
出版者	WILEY-V C H VERLAG GMBH
WOS记录号	WOS:000520616200003
内容类型	期刊论文
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.