Hu Lingping, Zhu Yin, Zhang Hongwei, Zhang Xiaomei, Li Yujin, Yao Qian, Cai Qiang, Hu Yaqin
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.
Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China.
Food Chem. 2024 Sep 15;452:139603. doi: 10.1016/j.foodchem.2024.139603. Epub 2024 May 11.
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.
由于涉及经济利益,食品欺诈在金枪鱼行业很常见。确保金枪鱼品种的真实性对于保护消费者和金枪鱼种群至关重要。在本研究中,基于气相色谱-四级杆-飞行时间质谱(GC-Q-TOF)和超高效液相色谱-四极杆/轨道阱质谱(UPLC-Q/Orbitrap)的代谢组学被用于研究三种商业金枪鱼品种(鲣鱼、大眼金枪鱼和黄鳍金枪鱼)的代谢物谱。分别使用GC-Q-TOF和UPLC-Q/Orbitrap质谱高可信度地鉴定出了22种和77种代谢物。通过化学计量学进一步筛选发现,38种代谢物可能作为潜在生物标志物。层次聚类分析表明,筛选出的代谢物生物标志物成功区分了三种受试金枪鱼品种。此外,基于京都基因与基因组百科全书(KEGG)通路的富集分析共鉴定出27条代谢途径。