Food and Fermentation Industries >

2022 , Vol. 48 >Issue 1: 261 - 266

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.027230

Characteristics analysis of Chinese wolfberry from different origins based on stable isotope ratio

  • LIAN Siyu ,
  • ZHU Shanshan ,
  • ZHANG Zijuan ,
  • XIE Yujie ,
  • FAN Chunlin ,
  • CHEN Hui ,
  • WANG Minglin
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  • 1(College of Food Science and Engineering,Shandong Agricultural University,Taian 271018,China)
    2(Chinese Academy of Inspection and Quarantine,Beijing 100176,China)

Received date: 2021-03-12

  Revised date: 2021-04-27

  Online published: 2022-01-27

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Abstract

The geographic origins of Chinese wolfberry were different prices. A total of 97 Chinese wolfberry samples was collected from three provinces/autonomous regions (Qinghai, Ningxia and Xinjiang) and their δ13C, δ15N, δ2H, δ18O and δ34S were obtained using elemental analyzer-stable isotope mass spectrometry (EA-IRMS). The correlation of stable isotope ratios and geographical origins was explored with the combination of box-plot, one-way analysis of variance and principal component analysis (PCA). Linear discriminant analysis (LDA) and support vector machine (SVM) were applied to construct the discriminant models of Chinese wolfberry for the geographic origins respectively. The results showed that the contribution of stable isotope δ13C, δ15N, δ2H, and δ18O was more than that of isotope δ34S to geographic origin discriminant. The cumulative variance contribution of the first two principal components was up to 75.3%. In the LDA model, the overall accuracy of training and verification were 93.9% and 89.7% respectively. In the SVM model, the overall accuracy of training and verification were 96.9% and 95.9%. Therefore, the SVM model was better than that of LDA in the discrimination of Chinese wolfberry from different origins. In summary, the difference in the stable isotope of Chinese wolfberry samples could be applied to identify the geographical origins.

Key words： Chinese wolfberry; stable isotope ratios; characteristics analysis; geographical origin discriminant

Cite this article

LIAN Siyu , ZHU Shanshan , ZHANG Zijuan , XIE Yujie , FAN Chunlin , CHEN Hui , WANG Minglin . Characteristics analysis of Chinese wolfberry from different origins based on stable isotope ratio[J]. Food and Fermentation Industries, 2022 , 48(1) : 261 -266 . DOI: 10.13995/j.cnki.11-1802/ts.027230

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