Optimization of traceability model of Ziziphus jujuba geographic origin by multi-element analysis combined SIMCA

doi:10.3969/j.issn.1000-1565.2016.04.008

Abstract

Abstract: In order to improve the accuracy of identification method of geographical origin,the contents of 10 elements in 69 Ziziphus jujubas were measured,and the data were analyzed by difference analysis,principal component analysis(PCA)and soft independent modeling of class analogies(SIMCA).The results showed that there were significant differences in the contents of Mg,B,Mn,Fe,Zn and other elements from different origin places.The result of PCA showed that the samples from different origins had clustering trend.In the first four principal components,the Fe,B,Mn,Zn and K elements had higher loading values,they were considered important origin elements.In the SICMA,with the 5% significance level,the identified result was best with 100% recognition rate and 78.95% rejection rate.This study confirmed that multi-element analysis with SICMA is on effective method to determine geographical origin of agricultural products.

Key words: Ziziphus jujuba, element, principal component analysis, soft independent modeling of class analogies

CLC Number:

O657.3

XIA Liya,LI Xiaoting,LI Xiaoyang,ZHANG Xiaoyu,YIN Jiexuan. Optimization of traceability model of Ziziphus jujuba geographic origin by multi-element analysis combined SIMCA[J]. Journal of Hebei University (Natural Science Edition), 2016, 36(4): 374-379.

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