多元素分析法鉴别红枣产地的研究

Yumiao Lang, Yao Cheng, Hongru Yang, Qingzhi Chen, Qian Liu, Xiaoteng Wang, Pengsha Bian, Xiaoxi Yang
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引用次数: 2

摘要

为探讨矿质元素分析红枣产地的可行性,筛选红枣产地鉴别的有效指标,从新疆、河北、山西、甘肃4省采集了34份红枣样品。采用电感耦合等离子体质谱仪测定红枣样品中Na、Mg、K、Ca、P、B、Al、Ti、Mn、Fe、Co、Ni、Cu、Zn、As、Se、Sr、Mo、Ba、Tl、Ge、Zr、Li、Rb、Cs、La、Ce和Nd的含量,并采用方差分析、主成分分析(PCA)、聚类分析(Ca)和判别分析(DA)进行分析。结果表明,不同产地红枣矿质元素含量各有特点。新疆红枣中Na和Ge的平均含量最高,Co、Cu、Zn、Se、Ba和Cs的平均含量最低。河北红枣中Ca、Ba、Ti的平均含量最高,山西红枣中K、Mn、Rb的平均含量最高,甘肃红枣中Mg、P、Al、B、Ti、Fe、Cu的平均含量最高。新疆省的Na含量是甘肃的3倍,河北的Rb含量是新疆的4倍。主成分分析解释了82.1%的总变异,表明主成分分析在红枣矿物元素的分类中起着至关重要的作用。以9.0的聚类距离将红枣分为5类,说明聚类分析在红枣原产地溯源方面取得了理想的结果。通过判别分析,对新疆、河北、山西、甘肃4省的样品建立了100%的正确判别率。事实证明,用多元素分析法来判断红枣的原产地溯源是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on identification of red jujube origin by multi-element analysis
In order to explore the feasibility of mineral element analysis on the origin of red jujube, and to screen the effective indicators to distinguish the origin of red jujube, 34 samples of red jujube were collected from Xinjiang, Hebei, Shanxi and Gansu provinces of China. The contents of Na, Mg, K, Ca, P, B, Al, Ti, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr, Mo, Ba, Tl, Ge, Zr, Li, Rb, Cs, La, Ce and Nd in the samples of red jujube were determined by inductively coupled plasma mass spectrometer and analyzed by variance analysis, principal component analysis (PCA), clustering analysis (CA) and discriminant analysis (DA). The results demonstrated that the content of mineral elements in red jujube from different regions has its own characteristics. The average contents of Na and Ge in red jujube were the highest from Xinjiang province, while the average contents of Co, Cu, Zn, Se, Ba and Cs were the lowest. The average contents of Ca, Ba and Ti in red jujube in Hebei province were the highest, the average contents of K, Mn and Rb in red jujube in Shanxi province were the highest, and the average contents of Mg, P, Al, B, Ti, Fe and Cu in Gansu province were the highest. The content of Na in Xinjiang province was three times more than that of Gansu province, and the content of Rb in Hebei province was four times more than that of Xinjiang province. PCA explained 82.1% of total variation, indicating that it played a vital role in the classification of mineral elements of red jujube. Red jujube was divided into five groups at a cluster distance of 9.0, indicating that clustering analysis has achieved ideal results in the origin traceability of red jujube. By discriminant analysis, the correct discriminant rate of 100% was established for samples from Xinjiang, Hebei, Shanxi and Gansu provinces. Facts have proved that it is feasible to judge the traceability of the origin of red jujube by using multi-element analysis.
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