Differentiation of three commercial tuna species through GC-Q-TOF and UPLC-Q/Orbitrap mass spectrometry-based metabolomics and chemometrics

Lingping Hu; Yin Zhu; Hongwei Zhang; Xiaomei Zhang; Yujin Li; Qian Yao; Qiang Cai; Yaqin Hu

doi:10.1016/j.foodchem.2024.139603

Differentiation of three commercial tuna species through GC-Q-TOF and UPLC-Q/Orbitrap mass spectrometry-based metabolomics and chemometrics

Food Chem. 2024 Sep 15:452:139603. doi: 10.1016/j.foodchem.2024.139603. Epub 2024 May 11.

Authors

Lingping Hu¹, Yin Zhu², Hongwei Zhang³, Xiaomei Zhang⁴, Yujin Li⁵, Qian Yao⁶, Qiang Cai⁷, Yaqin Hu⁸

Affiliations

¹ Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China; College of Food Science and Engineering, Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Hainan Key Laboratory of Herpetological Research, Sanya 572022, China.
² Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China.
³ Food and Agricultural Products Testing Agency, Technology Center of Qingdao Customs District, Qingdao, Shandong Province 266002, China.
⁴ Food and Agricultural Products Testing Agency, Technology Center of Qingdao Customs District, Qingdao, Shandong Province 266002, China. Electronic address: zhangxm@aoacchina.org.
⁵ College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China; Sanya Ocean Institute, Ocean University of China, Floor 7, Building 1, Yonyou Industrial Park, Yazhou Bay Science & Technology City, Sanya, Hainan, China. Electronic address: liyujin@ouc.edu.cn.
⁶ Key Laboratory of Medicinal and Edible Plants Resources Development of Sichuan Education Department, Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu 610106, China. Electronic address: yaoqian@cdu.edu.cn.
⁷ Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China. Electronic address: caiq@tsinghua.edu.cn.
⁸ College of Food Science and Engineering, Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Hainan Key Laboratory of Herpetological Research, Sanya 572022, China. Electronic address: 1004346262@qq.com.

PMID: 38754166
DOI: 10.1016/j.foodchem.2024.139603

Abstract

Food fraud is common in the tuna industry because of the economic benefits involved. Ensuring the authenticity of tuna species is crucial for protecting both consumers and tuna stocks. In this study, GC-Q-TOF and UPLC-Q/Orbitrap mass spectrometry-based metabolomics were used to investigate the metabolite profiles of three commercial tuna species (skipjack tuna, bigeye tuna and yellowfin tuna). A total of 22 and 77 metabolites were identified with high confidence using GC-Q-TOF and UPLC-Q/Orbitrap mass spectrometry, respectively. Further screening via chemometrics revealed that 38 metabolites could potentially serve as potential biomarkers. Hierarchical cluster analysis showed that the screened metabolite biomarkers successfully distinguished the three tested tuna species. Furthermore, a total of 27 metabolic pathways were identified through enrichment analysis based on the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways.

Keywords: Chemometrics; Mass spectrometry; Metabolomics; Tuna.

Publication types

Evaluation Study

MeSH terms

Animals
Biomarkers / analysis
Biomarkers / metabolism
Chemometrics
Chromatography, High Pressure Liquid
Gas Chromatography-Mass Spectrometry
Mass Spectrometry
Metabolomics*
Seafood / analysis
Tuna* / metabolism

Substances

Biomarkers