Integration of Untargeted and Pseudotargeted Metabolomics for Authentication of Three Shrimp Species Using UHPLC-Q-Orbitrap

Peng Zhong, Xiaoqun Wei, Yi Xu, Lulu Zhang, Anastasios Koidis, Yunle Liu, Yi Lei, Shaozong Wu, Hongtao Lei

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, an untargeted and pseudotargeted metabolomics combination approach was used for authentication of three shrimp species ( , , and ). The monophasic extraction-based untargeted metabolomics approach enabled comprehensive-coverage and high-throughput analysis of shrimp tissue and revealed 26 potential markers. The pseudotargeted metabolomics approach confirmed 21 markers (including 9 key markers), which realized at least putative identification. The 21 confirmed markers, as well as 9 key markers, were used to develop PLS-DA models, correctly classifying 60/60 testing samples. Furthermore, DD-SIMCA and PLS-DA models were integrated based on the 9 key markers, with 59/60 and 20/20 samples of the species that were involved and uninvolved in model training correctly classified. The results demonstrated the potential of this untargeted and pseudotargeted metabolomics combination approach for shrimp species authentication.
Original languageEnglish
Pages (from-to)8861–8873
JournalJournal of agricultural and food chemistry
Volume69
Issue number31
Early online date28 Jul 2021
DOIs
Publication statusPublished - 11 Aug 2021

Keywords

  • species authentication
  • untargeted metabolomics
  • shrimp
  • pseudotargeted metabolomics

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