湖北农业科学 ›› 2020, Vol. 59 ›› Issue (9): 151-154.doi: 10.14088/j.cnki.issn0439-8114.2020.09.032

• 检测分析 • 上一篇    下一篇

基于多元素含量测定与统计学方法的西洋参产地鉴别

侯皓然1, 周劲松1, 刘国伟1, 孔箭1, 马恩耀2, 罗文英1   

  1. 1.广州采芝林药业有限公司,广州 510140;
    2.广州市药材公司中药饮片厂,广州 510140
  • 收稿日期:2019-02-18 发布日期:2020-07-22
  • 通讯作者: 刘国伟(1973-),男,广西来宾人,主管药师,主要从事中药物质基础及其质量标准研究,(电话)13802933828(电子信箱)13802933828@139.com。
  • 作者简介:侯皓然(1991-),男,河南商丘人,硕士,主要从事中药资源开发与利用研究,(电话)17724002924(电子信箱)hhr759@163.com。
  • 基金资助:
    国家重点研发计划重点专项(2018YFC1707100); 工业和信息化部2018年工业转型升级资金(部门预算)项目(0714-EMTC-O2-00576); 广药集团科技项目

Study on the geographical origin identification of american ginseng based on multi-element analysis and statistical methods

HOU Hao-ran1, ZHOU Jin-song1, LIU Guo-wei1, KONG Jian1, Ma En-yao2, LUO Wen-ying1   

  1. 1. Guangzhou Caizhilin Pharmaceutical Company Ltd., Guangzhou 510140, China;
    2. Chinese Medicine Pieces Factory of Guangzhou Medicine Material Corporation, Guangzhou 510140, China
  • Received:2019-02-18 Published:2020-07-22

摘要: 探讨了多元素分析对西洋参(Panax quinquefolius L.)产地鉴别的可行性,筛选鉴别西洋参产地的有效指标。试验收集产地为加拿大、美国、中国东北三省的西洋参样品共20批,用ICP-MS法测定其中Sc、Y、La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Cr、Mn、Fe、Ni、Cu、Zn、As、Se、Cd、Sn、Hg、Pb共28种元素的含量,对其进行方差分析、聚类分析及判别分析。结果表明,不同地域西洋参样品中元素含量有其各自的特征。聚类分析将西洋参样品分成不同类别,与来源地基本一致。逐步判别分析筛选出Y、Fe和Ni 可作为判别西洋参产地来源的指标,判别正确率均达100.0%,说明利用多元素分析技术对西洋参产地来源的判别是可行的。

关键词: 西洋参(Panax quinquefolius L.), 多元素, 聚类分析, 判别分析, 产地鉴别

Abstract: The study aim is to investigate the feasibility of multi-element analysis in determination of the geographical origin of american ginseng, and to make a choice of determining effective tracers in the origin assessment of american ginseng. The contents of 28 chemical elements of Sc, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Cd, Sn, Hg and Pb were detected by ICP-MS in 20 samples from Canada, the United States, and the Northeast of China, and analysis of variance (ANOVA), cluster analysis (CA) and discriminant analysis (DA) were applied in the data analysis. The results showed that the element contents were different in american ginseng samples from the other different locals. CA classified the samples into different categories, which was consistent to their geographical origin. Three elements of Y, Fe and Ni were screened by DA and suggested as better tracers for american ginseng origin assessment, a 100.0% correct classification was achieved. Therefore, it is feasible to determine the geographical origin of american ginseng based on multi-element analysis.

Key words: american ginseng(Panax quinquefolius L.), multi-element, cluster analysis, discriminant analysis, geographical origin identification

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