4.7 Article

Detection of lipidomics characterization of tuna meat during different wet-aging stages using iKnife rapid evaporative ionization mass spectrometry

Journal

FOOD RESEARCH INTERNATIONAL
Volume 156, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.foodres.2022.111307

Keywords

Lipidomics; Wet-aged tuna; Phenotype; iKnife; Rapid evaporative ionization mass; spectrometry

Funding

  1. National Natural Science Foundation of China [32172304]
  2. Zhejiang Provincial Medical and Health Project [2021KY798]
  3. Zhejiang Provincial Public Welfare Technology Research Project [LGN21C200003]
  4. Eyas Program Incubation Project of Zhejiang Provincial Administration for Market Regulation [CY2022232]
  5. Zhoushan Science and Technology Project [2021C12003]
  6. Macau Young Scholars Program [AM2020019]
  7. Zhejiang Provincial Science and Technology Research Project of Administration for Market Regulation [20210169]

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This study investigated the lipidomics characteristics of wet-aged tuna using iKnife rapid evaporative ionization mass spectrometry. The dominant lipid components that contributed the most to determining the wet-aging stage of tuna were identified.
As a high-value processed aquatic product, wet-aged tuna has gradually become a popular food, but its lipidomics characteristics during the aging process have not been investigated. Herein, the lipidomics phenotypic data of tuna at different wet-aging stages were acquired using iKnife rapid evaporative ionization mass spectrometry, in which the dominant lipid components, including fatty acid (FA), phosphatidylcholine (PC), phosphatidylethanolamine (PE), and phosphatidylinositol (PI), were structurally identified. Principal component analysis, permutation test, heatmap, and circos plot analysis were performed to characterize lipids in wet-aged tuna, among which FAC18:1, docosahexaenoic acid (DHA), and PIC18:0/22:6 were the most contributing components for determining the wet-aging stage of tuna. The results indicated that iKnife-REIMS is accurate (86.5%), reliable, and could be used in the real-time detection of tuna meat during different wet-aging stages.

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