食品科学

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不同产地芸豆中矿物元素的因子分析与聚类分析

钱丽丽,李平惠,杨义杰,张东杰*   

  1. 黑龙江八一农垦大学食品学院,黑龙江 大庆 163319
  • 出版日期:2015-07-25 发布日期:2015-07-15
  • 通讯作者: 张东杰
  • 基金资助:

    国家杂粮工程技术开发项目(2011FU125X07);黑龙江省高等学校科技创新团队建设计划项目(2014TD006)

Factor Analysis and Clustering Analysis of Trace Elements in Kidney Beans from Different Producing Areas

QIAN Lili, LI Pinghui, YANG Yijie, ZHANG Dongjie*   

  1. College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • Online:2015-07-25 Published:2015-07-15
  • Contact: ZHANG Dongjie

摘要:

目的:探讨矿物元素指纹分析技术对芸豆产地溯源的可行性。方法:利用电感耦合等离子体质谱法测定不同产地芸豆中20 种矿物元素的含量,并对数据进行因子分析和聚类分析。结果:因子分析结果表明,总方差的50%以上的贡献来自前2 个因子,所对应Mg、Al、V、Cr、Mn、Fe、As、Sr、Y、Sb、Ba、La、Ce、Pr、Nd、Sm、Gd和Ca是芸豆的特征矿物元素。聚类分析结果表明,依安芸豆和拜泉芸豆各属一类。结论:矿物元素指纹图谱技术可用于判别芸豆产地来源。

关键词: 芸豆, 电感耦合等离子体质谱, 矿物元素, 因子分析, 聚类分析

Abstract:

Objective: To examine the feasibility of multi-element analysis in identifying the geographical origin of kidney
bean. Method: The concentrations of 20 chemical elements were determined using inductively coupled plasma-mass
spectrometry (ICP-MS) in kidney bean from different producing areas, and factor analysis and clustering analysis were
applied to analyze the obtained data. Results: The factor analysis results showed that the first and second factors accounted
for more than 50% of the total variance, indicating that Mg, Al, V, Cr, Mn, Fe, As, Sr, Y, Sb, Ba, La, Ce, Pr, Nd, Sm,
Gd and Ca are the characteristic multi-elements in kidney bean. The results of clustering analysis showed that Yi’an and
Baiquan kidney bean belonged to two different categories. Conclusion: Mineral elements fingerprinttechnique can be used
for discrimination of the origin of kidney bean.

Key words: kidney bean, inductively coupled plasma-mass spectrometry (ICP-MS), mineral element, factor analysis, clustering analysis

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