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

文献类型： 外文期刊

第一作者： Kong, Xiabing

作者： Kong, Xiabing;Xu, Min;Liu, Yihui;Li, Xiaoming;Han, Lingxi;Wan, Haoliang;Nie, Jiyun;Chen, Qiusheng;Zhang, Qiang;Liu, Lu;Zhao, Xubo

作者机构：

关键词： winter jujube; multi-element fingerprint analysis; chemometrics; origin traceability

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：4.8； 五年影响因子：4.8 ）

ISSN： 2095-3119

年卷期： 2024 年 23 卷 5 期

页码：

收录情况： SCI

摘要： 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.

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