Journal of Integrative Agriculture ›› 2024, Vol. 23 ›› Issue (5): 1749-1762.DOI: 10.1016/j.jia.2024.03.065

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多元素指纹图谱结合化学计量学对冬枣产地溯源的研究

  

  • 收稿日期:2023-02-13 接受日期:2023-12-13 出版日期:2024-05-20 发布日期:2024-04-24

Geographical origin identification of winter jujube (Ziziphus jujuba ‘Dongzao’) by using multi-element fingerprinting with chemometrics

Xiabing Kong1*, Qiusheng Chen2*, Min Xu1, Yihui Liu1, Xiaoming Li1, Lingxi Han1, Qiang Zhang2, Haoliang Wan1, Lu Liu2, Xubo Zhao3, Jiyun Nie1#   

  1. 1 College of Horticulture, Qingdao Agricultural University/Laboratory of Quality & Safety Risk Assessment for Fruit (Qingdao), Ministry of Agriculture and Rural Affairs/National Technology Centre for Whole Process Quality Control of FSEN Horticultural Products (Qingdao)/Qingdao Key Lab of Modern Agriculture Quality and Safety Engineering, Qingdao 266109, China

    2 Institute of Agricultural Product Quality, Safety and Nutrition, Tianjin Academy of Agricultural Sciences, Tianjin 300381, China

    3 College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China

  • Received:2023-02-13 Accepted:2023-12-13 Online:2024-05-20 Published:2024-04-24
  • About author:Xiabing Kong, E-mail: kxiabing@163.com; Qiusheng Chen, E-mail: TJZBSCQS@126.com; #Correspondence Jiyun Nie, E-mail: jynie_qau@163.com *These authors contributed equally to this study.
  • Supported by:
    This work was supported by the Scientific Research Foundation for High Level Talents of Qingdao Agricultural University, China (665-1120015), the National Program for Quality and Safety Risk Assessment of Agricultural Products of China (GJFP2019011), and the National Natural Science Foundation of China (42207017).

摘要: 冬枣因其优良的品质深受消费者喜爱,但市场上品牌侵权事件时有发生。本研究首次使用电感耦合等离子体质谱仪(ICP-MS)测定了我国冬枣主产区167个冬枣样品中的38种矿质元素。结果表明,16种矿质元素(MgKMnCuZnMoBaBeAsSeCdSbCeErTlPb)在不同产地的样品中表现出显著差异。有监督的线性判别分析(LDA)和正交偏最小二乘判别分析(OPLS-DA)在判别样品产地方面比无监督的主成分分析(PCA)表现出更好的性能。LDAOPLS-DA模型测试集平均判别正确率分别为87.84%94.64%。使用多层感知器(MLP)和C5.0模型预测精度分别达到96.36%91.06%。基于上述4种化学计量方法,选择CdTlMoSe作为冬枣产地溯源的主要标记变量。综上所述,本研究表明多元素指纹图谱结合化学计量学方法进行冬枣产地溯源是实用且精确的,本研究也可为其他水果产地溯源体系的建立提供参考。

Abstract:

Winter jujube (Ziziphus jujuba ‘Dongzao’) is greatly appreciated by consumers for its excellent quality, but brand infringement frequently occurs in the market.  Here, we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer (ICP-MS).  As a result, 16 elements (Mg, K, Mn, Cu, Zn, Mo, Ba, Be, As, Se, Cd, Sb, Ce, Er, Tl, and Pb) exhibited significant differences in samples from different producing areas.  Supervised linear discriminant analysis (LDA) and orthogonal projection to latent structures discriminant analysis (OPLS-DA) showed better performance in identifying the origin of samples than unsupervised principal component analysis (PCA).  LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64% in the testing set, respectively.  By using the multilayer perceptron (MLP) and C5.0, the prediction accuracy of the models could reach 96.36 and 91.06%, respectively.  Based on the above four chemometric methods, Cd, Tl, Mo and Se were selected as the main variables and principal markers for the origin identification of winter jujube.  Overall, this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics, and may also provide reference for establishing the origin traceability system of other fruits.


Key words: winter jujube , multi-element fingerprint analysis ,  chemometrics ,  origin traceability