食品科学
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钱丽丽，李平惠，杨义杰，张东杰*
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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）
QIAN Lili, LI Pinghui, YANG Yijie, ZHANG Dongjie*
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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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TS21
钱丽丽，李平惠，杨义杰，张东杰*. 不同产地芸豆中矿物元素的因子分析与聚类分析[J]. 食品科学, doi: 10.7506/spkx1002-6630-201514020.
QIAN Lili, LI Pinghui, YANG Yijie, ZHANG Dongjie*. Factor Analysis and Clustering Analysis of Trace Elements in Kidney Beans from Different Producing Areas[J]. FOOD SCIENCE, doi: 10.7506/spkx1002-6630-201514020.
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