基于矿物元素含量的葡萄干产地溯源

doi:10.6048/j.issn.1001-4330.2020.01.008

新疆农业科学 ›› 2020, Vol. 57 ›› Issue (1): 69-77.DOI: 10.6048/j.issn.1001-4330.2020.01.008

基于矿物元素含量的葡萄干产地溯源

王静静¹, 房芳¹, 周晓明², 伍新宇², 苏敏¹

1. 乌鲁木齐海关技术中心,乌鲁木齐 830063;
2. 新疆农业科学研究院园艺作物研究所,乌鲁木齐 830052

收稿日期:2019-09-15 出版日期:2020-01-20 发布日期:2020-02-06
通信作者: 苏敏(1973-),女,新疆人,高级工程师,研究方向为食品安全检测与评估, (E-mail)smxj2001@126.com
作者简介:王静静(1982-),女,新疆人,工程师,博士,研究方向为食品安全检测与评估,(E-mail)wjjyezi@163.com
基金资助:
“十三五”国家重点研发计划项目子课题 “跨境食品身份标志性特征物鉴别技术及数据库构建”(2016YFD0401104)

Geographical Source Traceability of Raisins Based on Mineral Element Contents

WANG Jingjing¹, FANG Fang¹, ZHOU Xiaoming², WU Xinyu², SU Min¹

1. Technical Center of Urumqi Customs, Urumqi 830063, China;
2. Institute of Horticulture, Xinjiang Academy of Agricultural Sciences, Urumqi 830052, China

Received:2019-09-15 Online:2020-01-20 Published:2020-02-06
Supported by:
Supported by the Sub-project of "13th Five-Year Plan"National Key R &D Program "Identification Technology and Database Construction of Identity Features of Cross-Border Food"(2016YFD0401104)

摘要/Abstract

摘要： 【目的】研究中国新疆吐鲁番、和田,以及乌兹别克斯坦撒马尔罕州葡萄干的产地溯源,建立基于矿物元素含量的产地识别方法,为在中国新疆特色果品产地溯源及地理标志性农产品保护等提供参考依据。【方法】利用电感耦合等离子体质谱仪(ICP-MS)和电感耦合等离子体发射光谱仪(ICP-AES)测定了3个产区69份葡萄干样品中的50种矿物元素含量,对所得数据进行方差分析、判别分析、主成分分析和聚类分析。【结果】筛选出Li、Sc、Co、Y、Mo、Mn、Cu、Na和K共9种矿物元素指标建立葡萄干产地判别模型。使用筛选出的9个元素含量作为变量,对模型外3个产区的9个样品进行验证,判别准确率达到了100%。使用从9种矿物元素含量中提取的3个主成分对3个产地葡萄干样品进行聚类分析,聚类效果明显。【结论】利用矿物元素可对来源于3个产区的葡萄干进行有效判别。

关键词: 葡萄干; 产地溯源; 矿物元素; 判别分析

Abstract: 【Objective】 To trace the geographical source of raisins from Turpan and Khotan in Xinjiang of China, and Smarkand of Uzbekistan and establish the trace method base on mineral elemental contents. 【Method】 In this experiment, inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma Atomic Emission Spectrometer (ICP-AES) were used to analyze the contents of 50 mineral elements in 69 samples collected from 3 raisin producing areas and then the obtained data were analyzed by variance analysis, discriminant analysis, principal component analysis (PCA) and cluster analysis. 【Result】 9 mineral elements mainly including Li, Sc, Co, Y, Mo, Mn, Cu, Na and K were selected by discriminant to establish the model for detecting geographical classification of raisin samples. The 9 selected elements were used as variables to verify 9 samples from 3 raisin regions outside the model, and the discrimination accuracy reached 100%. The obviously clustering effect was obtained from cluster analysis by the 3 main component extracted from 9 mineral elements of 3 raisin producing areas.【Conclusion】 The model based on mineral element analysis can be used successfully to discriminate raisins from 3 raisin producing area. This model may provide a reference in geographical origin tracing of Xinjiang characteristic fruits and in protection of geographical landmark agricultural products.

Key words: raisins; geographical source traceability; mineral elements; discriminatory analysis

中图分类号:

S663.1

王静静, 房芳, 周晓明, 伍新宇, 苏敏. 基于矿物元素含量的葡萄干产地溯源[J]. 新疆农业科学, 2020, 57(1): 69-77.

WANG Jingjing, FANG Fang, ZHOU Xiaoming, WU Xinyu, SU Min. Geographical Source Traceability of Raisins Based on Mineral Element Contents[J]. Xinjiang Agricultural Sciences, 2020, 57(1): 69-77.

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基于矿物元素含量的葡萄干产地溯源

Geographical Source Traceability of Raisins Based on Mineral Element Contents

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