Xinjiang Agricultural Sciences ›› 2022, Vol. 59 ›› Issue (3): 674-682.DOI: 10.6048/j.issn.1001-4330.2022.03.017

• Plant Protection·Agricultural Product Analysis and Detection • Previous Articles     Next Articles

Geographical Origin Discrimination of Jinghe Wolfberry and Zhongning Wolfberry Based on Multi Mineral Elements Analysis

ZHANG Rui1,2(), GOU Chunlin3, WANG Zhi2, QIAO Kunyun2, YUAN Yuwei4, NIE Jing4, JU Yanjun2, ZHAO Duoyong2()   

  1. 1. College of Food Science and Pharmacy, Xinjiang Agricultural University, Urumqi 830052, China
    2 Institute of Quality Standards & Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences / Laboratory of Quality and Safety Risk Assessment for Agro-Products (Urumqi), MOARA/ Xinjiang Key Laboratory of Agro-Products Quality and Safety, Urumqi 830091, China
    3 Institute of Quality Standard and Testing Technology For Agro-Products of Ningxia,Yinchuan 750002, China
    4. Institute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences,Hangzhou 310021, China
  • Received:2021-08-15 Online:2022-03-20 Published:2022-03-28
  • Correspondence author: ZHAO Duoyong
  • Supported by:
    Construction Capacity of Agricultural Science and Technology Innovation Platform Sponsored by Xinjiang Academy of Agricultural Sciences(xnypt006);Zhejiang Province Plant Pest Control Key Laboratory Open Fund Project(2010DS700124-KF1903);Xinjiang Cedar Program Project(2018XS15);Tianshan Excellence Talent Project of Xinjiang([2017]711)

基于多种矿物元素的精河枸杞与中宁枸杞产地鉴别

张瑞1,2(), 苟春林3, 王智2, 乔坤云2, 袁玉伟4, 聂晶4, 琚艳君2, 赵多勇2()   

  1. 1.新疆农业大学食品科学与药学学院,乌鲁木齐 830052
    2.新疆农业科学院农业质量标准与检测技术研究所/农业农村部农产品质量安全风险评估实验室(乌鲁木齐)/新疆农产品质量安全重点实验室,乌鲁木齐 830091
    3.宁夏农产品质量标准与检测技术研究所,银川 750002
    4.浙江省农业科学院农产品质量标准研究所,杭州 310021
  • 通讯作者: 赵多勇
  • 作者简介:张瑞(1997-),女,吉林松原人,硕士研究生,研究方向为食品加工与安全,(E-mail) 1761262569@qq.com
  • 基金资助:
    新疆农业科学院农业科技创新平台能力提升建设专项(xnypt006);浙江省植物有害生物防控重点实验室开放基金项目(2010DS700124-KF1903);自治区天山雪松计划(2018XS15);自治区天山英才工程([2017]711)

Abstract:

【Objective】 This study aims to compare the differences of mineral elements content between Jinghe wolfberry and Zhongning wolfberry, and to explore the feasibility of identifying the geographical origin of wolfberry based on multiple mineral elements analysis technology, so as to clarify the differences of mineral element fingerprint characteristics between them. 【Methods】 The content of 52 mineral elements in 102 wolfberry samples from Jinghe County, Xinjiang and Zhongning County, Ningxia were determined by inductively coupled plasma mass spectrometry (ICP-MS), and the multiple statistical analysis methods including analysis of variance and orthogonal partial least squares method-discriminant analysis (OPLS-DA) were used for the geographical origin identification. 【Results】 There were significant differences in 26 mineral elements between Jinghe and Zhongning wolfberry (P<0.05). Among the 26 elements, the contents of 16 elements including Mg, Al, P, K, V, Cu, Zn, As, Se, Mo, Ag, Cd, Gd, Er, Pb, and U in Jinghe wolfberry were significantly higher than those in Zhongning, while the contents of 10 elements including Na, Ca, Ni, Rb, Sr, Hf, Ir, Au, Tl and Th in Zhongning were significantly higher than those in Jinghe. Through stepwise discriminant analysis, 14 elements including U, Mo, K, Rb, Au, Ir, Hf, Cu, Tl, Zn, Ca, Th, Mg and Cd were identified as significant element variables. 【Conclusion】 The multi-element discrimination model can be established based on the above 14 elements and the accuracy rates of the geographical origin discrimination of Jinghe and Zhongning wolfberry were 100% and 98.08%, respectively. Jinghe and Zhongning wolfberry have their own unique mineral element fingerprint characteristics, and the use of multiple mineral elements can effectively identify Xinjiang Jinghe wolfberry and Ningxia Zhongning wolfberry.

Key words: Chinese wolfberry; geographical origin identification; mineral element; fingerprint; OPLS-DA

摘要:

【目的】比较新疆精河枸杞与宁夏中宁枸杞矿物元素含量差异,分析基于多元素分析技术鉴别枸杞产地的可行性,研究精河枸杞和中宁枸杞矿物元素指纹特征差异。【方法】采用电感耦合等离子质谱(ICP-MS)测定来自新疆精河县与宁夏中宁县2个产地的102份枸杞样品中52种矿物元素的含量,结合方差分析和正交偏最小二乘法-判别分析(OPLS-DA)等多元统计分析方法进行产地鉴别。【结果】精河枸杞和中宁枸杞中有26种矿物元素存在显著性差异(P<0.05),其中精河枸杞Mg、Al、P、K、V、Cu、Zn、As、Se、Mo、Ag、Cd、Gd、Er、Pb和U等16种元素含量显著高于中宁枸杞,而中宁枸杞Na、Ca、Ni、Rb、Sr、Hf、Ir、Au、Tl和Th等10种元素含量显著高于精河枸杞。逐步判别分析筛选出U、Mo、K、Rb、Au、Ir、Hf、Cu、Tl、Zn、Ca、Th、Mg和Cd等14种元素为差异显著元素变量,基于上述14种差异元素建立的多元素产地判别模型,对精河枸杞和中宁枸杞产地判别的准确率分别为100%和98.08%。【结论】精河枸杞和中宁枸杞具有各自独特的矿物元素指纹特征,利用多种矿物元素可有效鉴别新疆精河枸杞和宁夏中宁枸杞。

关键词: 枸杞, 产地鉴别, 矿物元素, 指纹, OPLS-DA

CLC Number: