食品科学

• 成分分析 • 上一篇    下一篇

基于金属元素组成的新疆石榴产地识别分析

王 睿1,2,王 强1,2,王 存1,吴洪斌3,*   

  1. 1.重庆第二师范学院生物与化学工程系,重庆 400067;2.重庆第二师范学院食品安全与营养研究所,
    重庆 400067;3.新疆农垦科学院农产品加工研究所,新疆 石河子 832000
  • 出版日期:2015-03-25 发布日期:2015-03-17
  • 通讯作者: 吴洪斌

Identification of Pomegranate from Different Producing Areas of Xinjiang Based on Mineral Profile

WANG Rui1,2, WANG Qiang1,2, WANG Cun1, WU Hongbin3,*   

  1. 1. Department of Biological and Chemical Engineering, Chongqing University of Education, Chongqing 400067, China;
    2. Institute of Food Safety and Nutrition, Chongqing University of Education, Chongqing 400067, China; 3. Institute of Agro-
    Products Processing Science and Technology, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China
  • Online:2015-03-25 Published:2015-03-17
  • Contact: WU Hongbin

摘要:

采用电感耦合等离子体原子发射光谱法,对新疆6 个主要产地(库车、吐鲁番、叶城、疏附、喀什、和田)的36 个石榴样品的可食部分(果肉)和籽中12 种金属元素的含量进行测定,采用主成分分析(principalcomponent analysis,PCA)和线性判别分析(linear discrimination analysis,LDA)对石榴可食部分和籽中金属元素进行综合评价。结果表明:PCA得出2 个三因子模型,分别解释了石榴可食部分和籽中金属元素数据的84.29%和60.33%;通过对石榴可食部分中金属元素组成进行PCA,PCA更好地将36 个石榴样品划分为6 类,与实际产地吻合。LDA得出新疆不同产地石榴可食部分和籽的总体验证判别率分别为100%和100%,交互验证判别率分别为100%和94.44%。说明提出的方法具有很好的产地识别作用,可作为石榴产地的一种鉴别方法。

关键词: 石榴, 金属元素, 主成分分析, 线性判别分析, 电感耦合等离子体原子发射光谱

Abstract:

The concentrations of 12 mineral elements in the edible part and seeds of 36 pomegranate samples collected
from 6 different producing areas of Xinjiang were determined by inductively coupled plasma-atomic emission spectrometry
(ICP-AES) and analyzed by principal component analysis (PCA) and linear discriminate analysis (LDA). Two three-factor
models accounting for 84.29% and 60.33% of data variability for the metal element composition of the edible part and seeds,
respectively were established by PCA. Thirty-six pomegranate samples were classified into six groups by PCA, agreeing
with the producing areas. A satisfactory classification of the edible part and seeds of pomegranate was obtained with
overall correct classification rates of both 100%, and cross-validation rates of 100% and 94.44%, respectively. Thus, this
discrimination method can be applied in the geographic origin discrimination of pomegranate.

Key words: pomegranate (Punica granatum L.), metal elements, principal component analysis (PCA), linear discriminant analysis (LDA), inductively coupled plasma-atomic emission spectrometry (ICP-AES)

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