食品与发酵工业 >

2022 , Vol. 48 >Issue 9: 253 - 260

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.027625

基于矿物元素技术的中宁不同产区枸杞的判别分析

  • 开建荣 ,
  • 石欣 ,
  • 李彩虹 ,
  • 杨春霞 ,
  • 王彩艳
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  • (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:硕士,助理研究员(王彩艳副研究员为通信作者,E-mail:37648836@qq.com)

收稿日期: 2021-04-12

  修回日期: 2021-06-10

  网络出版日期: 2022-05-26

基金资助

宁夏回族自治区自然科学基金项目(2021AAC03283);宁夏农林科学院科技创新引导资金项目(NKYJ-20-14);宁夏农业高质量发展和生态保护科技创新示范课题(NGSB-2021-5)

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Discrimination of Lycium barbarum from different areas in Zhongning based on mineral element technique

  • KAI Jianrong ,
  • SHI Xin ,
  • LI Caihong ,
  • YANG Chunxia ,
  • WANG Caiyan
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  • (Ningxia Research Institute of Quality Standards and Testing Technology of Agricultural Products, Yinchuan 750002, China)

Received date: 2021-04-12

  Revised date: 2021-06-10

  Online published: 2022-05-26

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摘要

通过分析中宁不同产区枸杞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,构建枸杞原产地鉴别的判别模型。该研究采集了宁夏中宁县舟塔、鸣沙洲、红梧山、红柳沟和清水河5个小产区的111份枸杞样品,利用电感耦合等离子体质谱仪测定了43种矿物元素含量,结合方差分析、主成分分析和Fisher判别分析、正交-偏最小二乘法判别分析方法建立了枸杞产地判别模型。结果表明,枸杞样品43种矿物元素中有28种矿物元素含量在不同地域间存在显著差异。经过主成分分析,从43种矿物元素可提取出10个主成分33种矿物元素,代表了总指标76.583%的信息。通过Fisher判别分析确定了Cd、Ce、Co、Cu、Gd、Hg、Mg、Se、Zn、P等10种矿物元素为枸杞的有效溯源指标,2种判别模型的整体正确判别率分别为82.0%和91.89%,基本实现了小尺度区域内枸杞的产地判别。研究证明矿物元素产地溯源技术可用于枸杞的原产地判别。

关键词： 枸杞; 矿物元素; 线性判别分析; 正交-偏最小二乘法; 溯源

本文引用格式

开建荣 , 石欣 , 李彩虹 , 杨春霞 , 王彩艳 . 基于矿物元素技术的中宁不同产区枸杞的判别分析[J]. 食品与发酵工业, 2022 , 48(9) : 253 -260 . DOI: 10.13995/j.cnki.11-1802/ts.027625

Abstract

By analyzing the difference of mineral element content in Lycium barbarum Chinese wolfberry from different producing areas and combining with multivariate statistical analysis, an effective traceability index was selected to establish a discriminant model for the origin identification of L. barbarum. 111 Chinese wolfberry samples were collected from five small regions in Ningxia Zhouta, Ming Chau, Hongwu Mountain, Hongliu Gully and Qingshui River, and inductively coupled plasma mass spectrometry (ICP-MS) were used to determine 43 kinds of mineral elements content. Combined with analysis of variance and principal component analysis and Fisher discriminant analysis, OPLS-DA discriminant analysis method was used to establish the Chinese wolfberry origin discriminant model. The results showed that the contents of 28 mineral elements in 43 mineral elements of L. barbarum samples were significantly different between these regions. Through principal component analysis, 33 mineral elements of 10 principal components could be extracted from 43 mineral elements, representing 76.583% of the total index information. By Fisher discriminant analysis, 10 mineral elements Cd, Ce, Co, Cu, Gd, Hg, Mg, Se, Zn and P were identified as effective traceability indexes. The overall correct discriminant rates of the two discriminant models were 82.0% and 91.89%, respectively, which can be used for the origin discrimination of L. barbarum in the small scale area. Mineral elements can be used to distinguish the origin of L. barbarum.

Key words： Lycium barbarum; mineral element; linear discriminant analysis; orthogonal partial least squares; traceability

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