TY - JOUR
T1 - Integration of Untargeted and Pseudotargeted Metabolomics for Authentication of Three Shrimp Species Using UHPLC-Q-Orbitrap
AU - Zhong, Peng
AU - Wei, Xiaoqun
AU - Xu, Yi
AU - Zhang, Lulu
AU - Koidis, Anastasios
AU - Liu, Yunle
AU - Lei, Yi
AU - Wu, Shaozong
AU - Lei, Hongtao
PY - 2021/8/11
Y1 - 2021/8/11
N2 - 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.
AB - 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.
KW - species authentication
KW - untargeted metabolomics
KW - shrimp
KW - pseudotargeted metabolomics
U2 - 10.1021/acs.jafc.1c02630
DO - 10.1021/acs.jafc.1c02630
M3 - Article
C2 - 34319107
VL - 69
SP - 8861
EP - 8873
JO - Journal of Agricultural and Food Chemistry
JF - Journal of Agricultural and Food Chemistry
SN - 0021-8561
IS - 31
ER -