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中国精品科技期刊2020

云南不同产地玛咖挥发油成分的GC-MS检测及多元统计分析

杨敏, 贺与平, 殷勤红, 朱艳琴, 黄绍军, 杜萍

杨敏, 贺与平, 殷勤红, 朱艳琴, 黄绍军, 杜萍. 云南不同产地玛咖挥发油成分的GC-MS检测及多元统计分析[J]. 食品工业科技, 2016, (14): 67-72. DOI: 10.13386/j.issn1002-0306.2016.14.005
引用本文: 杨敏, 贺与平, 殷勤红, 朱艳琴, 黄绍军, 杜萍. 云南不同产地玛咖挥发油成分的GC-MS检测及多元统计分析[J]. 食品工业科技, 2016, (14): 67-72. DOI: 10.13386/j.issn1002-0306.2016.14.005
YANG Min, HE Yu-ping, YIN Qin-hong, ZHU Yan-qin, HUANG Shao-jun, DU Ping. Study on the chemical components of volatile oil of Maca from different areas in Yunnan by GC- MS and multivariate statistical analysis[J]. Science and Technology of Food Industry, 2016, (14): 67-72. DOI: 10.13386/j.issn1002-0306.2016.14.005
Citation: YANG Min, HE Yu-ping, YIN Qin-hong, ZHU Yan-qin, HUANG Shao-jun, DU Ping. Study on the chemical components of volatile oil of Maca from different areas in Yunnan by GC- MS and multivariate statistical analysis[J]. Science and Technology of Food Industry, 2016, (14): 67-72. DOI: 10.13386/j.issn1002-0306.2016.14.005

云南不同产地玛咖挥发油成分的GC-MS检测及多元统计分析

基金项目: 

云南省应用基础研究计划项目(2012F2040);

详细信息
    作者简介:

    杨敏(1991-),女,硕士研究生,主要从事天然产物分析方面的研究,E-mail:742880490@qq.com。;

    杜萍(1968-),女,大学本科,高级工程师,主要从事天然产物分析方面的研究,E-mail:dupin515@163.com。;

  • 中图分类号: TS207.3;O657.63

Study on the chemical components of volatile oil of Maca from different areas in Yunnan by GC- MS and multivariate statistical analysis

  • 摘要: 为研究云南玛咖挥发油成分,对云南具有代表性的八个玛咖种植区样品采用同时蒸馏萃取法提取挥发油,利用气相色谱-质谱联用技术对所得挥发油进行分离鉴定,应用相似度评价、聚类分析和主成分分析等多元统计方法进行分析,结果鉴定出挥发油成分59种,其中共有成分39种,这些共有成分总含量在各地玛咖样品挥发油总量中占比都超过99%。含量较高的共有成分有:异硫氰酸苄酯、苯乙腈、4-甲氧基苄基异硫氰酸酯、3-甲氧基苯乙腈、棕榈酸、9,12,15-十八碳三烯酸、苯甲醛、9,12-亚油酸、9,12,15-十八碳三烯酸乙酯、亚油酸乙酯。云南八个玛咖种植区样品挥发油成分相似,但由于含量差别而呈现出具有明显差异的两个类别。 
    Abstract: To research the chemical components of volatile oil of maca( Lepidium meyenii) in Yunnan province,the experiment extracted the volatile oil of maca from 8 habitats in Yunnan by simultaneous distillation- solvent extraction( SDE),and then isolated,analyzed and identified it by gas chromatography- mass spectrometry( GC-MS). Furthermore,multivariate statistical analysis methods including similarity analysis,hierarchical cluster analysis( HCA) and principal component analysis( PCA) were applied to the components data.As a result,a total of59 components were identified and 39 of them were common to all the tested samples.These common components account for more than 99% of all volatile oil in every tested sample.There were some common components showed relatively higher quantity:( isothiocyanatomethyl)- Benzene,Benzyl nitrile,4- Methoxybenzyl,( 3- Methoxyphenyl)acetonitrile,Hexadecanoic acid,9,12,15- Octadecatrienoic acid,Benzaldehyde,9,12- Octadecadienoic acid,ethyl9,12,15- octadecatrienoate,Linoleic acid ethyl ester. The results showed that the samples from 8 habitats were distinguished into two classes because of the differences about their components content of volatile oil though their components of volatile oil were similar.
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出版历程
  • 收稿日期:  2015-12-21

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