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基于主成分分析法和聚类分析法识别玛咖来源
引用本文:潘 蓉,张忠伟,谭建磊,王春雨,王 希,范瑞雪,陈 芮.基于主成分分析法和聚类分析法识别玛咖来源[J].食品安全质量检测技术,2019,10(18):6201-6208.
作者姓名:潘 蓉  张忠伟  谭建磊  王春雨  王 希  范瑞雪  陈 芮
作者单位:云南师范大学化学化工学院,云南师范大学化学化工学院,云南师范大学化学化工学院,云南师范大学化学化工学院,云南师范大学化学化工学院,云南师范大学化学化工学院,云南师范大学化学化工学院
基金项目:国家自然科学基金项目(21565033)
摘    要:目的 建立一种识别不同来源玛咖的检测方法。方法 采用电喷雾电离质谱法分析了秘鲁、会泽、丽江及香格里拉等4个产地的玛咖的甲醇提取物中的功效成分; 在此基础上, 采用主成分分析法和聚类分析法对这些玛咖进行了识别。结果 所有样品中都含有维生素B1、亚油酸、蔗糖、烯丙基芥子油苷、苄基-芥子油苷及间-甲氧基-苄基-芥子油苷等成分; 香格里拉3号玛咖的主要成分和其他玛咖中的主要成分存在显著的差异; 其中丽江2号玛咖的成分与秘鲁1号和2号玛咖的成分最接近; 会泽3号玛咖的成分和秘鲁3号玛咖的成分最接近。结论 该方法快速、准确、灵敏, 适合鉴别不同来源的玛咖。

关 键 词:玛咖    主成分分析    聚类分析    识别    质谱
收稿时间:2019/5/18 0:00:00
修稿时间:2019/9/25 0:00:00

Discrimination of Lepidium meyenii (Maca) from different origins with principal component analysis and cluster analysis
PAN Rong,ZHANG Zhong-Wei,TAN Jian-Lei,WANG Chun-Yu,WANG Xi,FAN Rui-Xue and CHEN Rui.Discrimination of Lepidium meyenii (Maca) from different origins with principal component analysis and cluster analysis[J].Food Safety and Quality Detection Technology,2019,10(18):6201-6208.
Authors:PAN Rong  ZHANG Zhong-Wei  TAN Jian-Lei  WANG Chun-Yu  WANG Xi  FAN Rui-Xue and CHEN Rui
Affiliation:College of Chemistry and Chemical Engineering, Yunnan Normal University,College of Chemistry and Chemical Engineering, Yunnan Normal University,College of Chemistry and Chemical Engineering, Yunnan Normal University,College of Chemistry and Chemical Engineering, Yunnan Normal University,College of Chemistry and Chemical Engineering, Yunnan Normal University,College of Chemistry and Chemical Engineering, Yunnan Normal University and College of Chemistry and Chemical Engineering, Yunnan Normal University
Abstract:Objective To establish a method for discrimination of Lepidium meyenii (Maca) from different origins. Methods Component of methanol extract in Maca from Peru, Huize, Lijiang and Shangri-La was analyzed by electrospray ionization mass spectrometry. On this basis, these samples were discriminated by principal component analysis and cluster analysis. Results All the samples contained vitamin B1, linoleic acid, sucrose, allyl glucosinolate, benzyl glucosinolate and m-methoxylbenzyl glucosinolate. There was much difference in principal component between Maca 3 from Shangri-La and others. The principal component of Maca 2 from Lijiang was near to that of Maca 1 and 2 from Peru, and the principal component of Maca 3 from Huize was near to that of Maca 3 from Peru. Conclusion This method is rapid, accurate, sensitive, which is suitable for discrimination of Maca from different origins.
Keywords:Lepidium meyenii  principal component analysis  cluster analysis  discrimination  mass spectrometry
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