分析与检测

基于矿物元素技术的品种、产区葡萄酒的判别分析

  • 李彩虹 ,
  • 开建荣 ,
  • 王彩艳 ,
  • 王芳 ,
  • 闫玥 ,
  • 张静 ,
  • 杨春霞 ,
  • 葛谦
展开
  • (宁夏农产品质量标准与检测技术研究所,宁夏 银川,750002)
第一作者:高级实验师(葛谦助理研究员为通信作者,E-mail:278842005@qq.com)

收稿日期: 2021-09-09

  修回日期: 2021-09-27

  网络出版日期: 2022-07-15

基金资助

宁夏回族自治区自然科学基金项目(2020AAC03282);宁夏回族自治区自然科学基金重点项目(2021AAC02023);宁夏农林科学院农业高质量发展和生态保护科技创新示范项目(NGSB-2021-5);宁夏农林科学院先导资金项目(NKYJ-20-01);宁夏回族自治区自然基金项目(2021AAC03282)

Discriminant analysis of wine variety and origin based on the content of mineral elements

  • LI Caihong ,
  • KAI Jianrong ,
  • WANG Caiyan ,
  • WANG Fang ,
  • YAN Yue ,
  • ZHANG Jing ,
  • YANG Chunxia ,
  • GE Qian
Expand
  • (Ningxia Research Institute of Quality Standards and Testing Technology of Agricultural Products, Yinchuan 750002, China)

Received date: 2021-09-09

  Revised date: 2021-09-27

  Online published: 2022-07-15

摘要

通过分析宁夏贺兰山东麓不同品种,不同产区葡萄酒中矿物元素含量差异,结合多元统计分析,筛选有效的溯源指标,构建葡萄酒品种和原产地判别模型。该研究采集了宁夏贺兰山东麓产区6个单品葡萄酒样品54份,甘肃武威产区和河北沙城产区葡萄酒样品10份,利用电感耦合等离子体质谱仪(inductively coupled plasma mass spectrometry,ICP-MS)测定了样品中58种矿物元素含量,结合方差分析、主成分分析和Fisher判别分析方法建立了葡萄酒品种和产地判别模型。结果表明,不同品种葡萄酒中有35种矿物元素含量存在显著差异;经过主成分分析,从58种矿物元素可提取出10个主成分,代表了总指标80.64%的信息;通过Fisher判别分析,回代检验的整体正确判别率为100%,但交叉检验的整体正确判别率仅为38.9%,说明基于矿物元素的差异性不能有效鉴别不同品种的葡萄酒。结合武威和沙城产区样品,经Fisher判别分析,回代检验和交叉检验的整体正确判别率分别为100.0%和98.4%,基本实现了不同产区葡萄酒的判别。研究证明矿物元素技术可用于葡萄酒的原产地判别。

本文引用格式

李彩虹 , 开建荣 , 王彩艳 , 王芳 , 闫玥 , 张静 , 杨春霞 , 葛谦 . 基于矿物元素技术的品种、产区葡萄酒的判别分析[J]. 食品与发酵工业, 2022 , 48(12) : 281 -287 . DOI: 10.13995/j.cnki.11-1802/ts.029266

Abstract

Based on the analysis of the mineral element content in wines made from different varieties of grapes and from different producing areas, in the eastern foot of Helan Mountain in Ningxia, combined with multivariate statistical analysis, the effective traceability index was selected to establish the wine variety and origin discrimination model. In this study, 54 samples of six single grape wine samples from Helan Mountain in Ningxia, and ten wine samples from Wuwei in Gansu and Shacheng in Hebei were collected. The contents of 58 mineral elements in the samples were determined by ICP-MS. Based on analysis of variance, principal component analysis and Fisher discriminant analysis, a wine variety and origin discrimination model were established. The results showed that there were significant differences in the contents of 35 mineral elements in different varieties of wines. After principal component analysis, ten principal components and 25 mineral elements were extracted from 58 mineral elements, representing 80.64% of the total index information. Fisher discriminant analysis showed that the overall correct discriminant rate of back generation test was 100%, but the overall correct discriminant rate of cross test was only 38.9%, indicating that differences in mineral elements could not effectively identify different varieties of wine. Fisher discriminant analysis showed that the overall correct discriminant rates of back generation test and cross test were 100.0% and 98.4%, respectively, which basically realized the discrimination of wines from different regions. It is proved that mineral element origin tracing technology can be used in wine origin discrimination.

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