FOOD SCIENCE ›› 2019, Vol. 40 ›› Issue (20): 217-226.doi: 10.7506/spkx1002-6630-20181102-024

• Component Analysis • Previous Articles     Next Articles

ZHANG Hongrui, ZHANG Jiukai, HAN Jianxun, XING Ranran, ZHENG Lei, CHEN Ying

ZHANG Hongrui, ZHANG Jiukai, HAN Jianxun, XING Ranran, ZHENG Lei, CHEN Ying   

  1. (1. Chinese Academy of Inspection and Quarantine, Beijing 100176, China;2. School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China)
  • Online:2019-10-25 Published:2019-10-25

Abstract: A metabolomics method was proposed for identifying the geographical origin of Maca and the differences in metabolites among geographical origins were analyzed by ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Five origins of Maca were successfully distinguished by orthogonal partial least squares discriminant analysis and then the target and non-target metabolites of Maca from each geographical origin were analyzed. A total of 28 metabolites, including macaamide, macaene, glucosinolate, alkaloids, sterols, polyphenols and flavonoids, were identified by target metabolomics analysis. The markers from Maca geographical origin discrimination were identified by non-target metabolomics analysis. It is concluded that the metabolomics method can be used for the discrimination of Maca origin and the identification of the whole component.

Key words: Maca, metabolomics, ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry, geographical origin discrimination, chemometics

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