气候变化领域集成服务门户(CCPortal): Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes

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DOI	10.7717/peerj.11928
	Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes
	Li, Shanjia; Wang, Hui; Jin, Ling; White, James F.; Kingsley, Kathryn L.; Gou, Wei; Cui, Lijuan; Wang, Fuxiang; Wang, Zihao; Wu, Guoqiang
通讯作者	Li, SJ (通讯作者)，Lanzhou Univ Technol, Sch Life Sci & Engn, Lanzhou, Gansu, Peoples R China. ; Li, SJ (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou, Gansu, Peoples R China.
发表日期	2021
ISSN	2167-8359
卷号	9
英文摘要	Background. Place of origin is an important factor when determining the quality and authenticity of Angelica sinensis for medicinal use. It is important to trace the origin and confirm the regional characteristics of medicinal products for sustainable industrial development. Effectively tracing and confirming the material's origin may be accomplished by detecting stable isotopes and mineral elements. Methods. We studied 25 A. sinensis samples collected from three main producing areas (Linxia, Gannan, and Dingxi) in southeastern Gansu Province, China, to better identify its origin. We used inductively coupled plasma mass spectrometry (ICP-MS) and stable isotope ratio mass spectrometry (IRMS) to determine eight mineral elements (K, Mg, Ca, Zn, Cu, Mn, Cr, Al) and three stable isotopes (delta C-13, delta N-15, delta O-18) Principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to verify the validity of its geographical origin. Results. K, Ca/Al, delta C-13, delta N-15, delta O-18 are important elements to distinguish A. sinensis sampled from Linxia, Gannan and Dingxi. We used an unsupervised PCA model to determine the dimensionality reduction of mineral elements and stable isotopes, which could distinguish the A. sinensis from Linxia. However, it could not easily distinguish A. sinensis sampled from Gannan and Dingxi. The supervised PLS-DA and LDA models could effectively distinguish samples taken from all three regions and perform cross-validation. The cross-validation accuracy of PLS-DA using mineral elements and stable isotopes was 84%, which was higher than LDA using mineral elements and stable isotopes. Conclusions. The PLS-DA and LDA models provide a theoretical basis for tracing the origin of A. sinensis in three regions (Linxia, Gannan and Dingxi). This is significant for protecting consumers' health, rights and interests.
关键词	TRACEABILITY CHEMOMETRICS DANGGUI CARBON
英文关键词	Angelica sinensis; Mineral elements; Stable isotopes; Discriminant analysis
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000683838800006
来源期刊	PEERJ
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254270
作者单位	[Li, Shanjia; Wang, Hui; Gou, Wei; Cui, Lijuan; Wang, Fuxiang; Wang, Zihao; Wu, Guoqiang] Lanzhou Univ Technol, Sch Life Sci & Engn, Lanzhou, Gansu, Peoples R China; [Li, Shanjia] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou, Gansu, Peoples R China; [Jin, Ling] Gansu Univ Chinese Med, Coll Pharm, Lanzhou, Gansu, Peoples R China; [White, James F.; Kingsley, Kathryn L.] Rutgers State Univ, Dept Plant Biol, New Brunswick, NJ USA
推荐引用方式 GB/T 7714	Li, Shanjia,Wang, Hui,Jin, Ling,et al. Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes[J]. 中国科学院西北生态环境资源研究院,2021,9.
APA	Li, Shanjia.,Wang, Hui.,Jin, Ling.,White, James F..,Kingsley, Kathryn L..,...&Wu, Guoqiang.(2021).Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes.PEERJ,9.
MLA	Li, Shanjia,et al."Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes".PEERJ 9(2021).