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

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

机构地区：[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

出　　处：《Journal of Integrative Agriculture》2024年第5期1749-1762,共14页农业科学学报（英文版）

基　　金：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);the National Natural Science Foundation of China(42207017).

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.

关 键 词：winter jujube multi-element fingerprint analysis CHEMOMETRICS origin traceability 

分 类 号：S665.1[农业科学—果树学]