Journal
FOOD CHEMISTRY
Volume 383, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2022.132432
Keywords
Rapid evaporative ionization mass spectrometry (REIMS); Minced shrimp; Lipidomics; Real-time recognition; Multivariate statistical analysis
Funding
- National Natural Science Foundation of China [32172304]
- Eyas Program Incubation Project of Zhejiang Provincial Administration for Market Regulation [CY2022232]
- Zhejiang Province Drug Regulatory System Science and Technology Project [2021007]
- Zhejiang Provincial Science and Technology Research Project of Administration for Market Regulation [20210169, 20210170]
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A method for in situ and real-time minced shrimp authentication based on lipidomics using iKnife REIMS was established. The method showed excellent performance in distinguishing different species of minced shrimp.
Minced shrimp is popular seafood due to its delicious flavor and nutritional value. However, the biological species of raw material of minced shrimp are not distinguished by naked eyes after processing. Thus, an in situ and real-time minced shrimp authentication method was established using iKnife rapid evaporative ionization mass spectrometry (REIMS) based lipidomics. The samples were analyzed under ambient ionization without any tedious preparation step. Seven economic shrimp samples were tested, whose phenotypes were used to develop a real-time recognition model. A total of 19 fatty acids and 45 phospholipid molecular species were efficiently identified and statistically analyzed by multivariate statistical analysis. The results showed that the seven shrimp species were well distinguished, and the most contributing ions at m/z 255.2, 279.2, 301.2, 327.2, 699.5, 742.5, etc., were revealed by variable importance in projection. The proposed iKnife REIMS showed excellent performance in minced shrimp authentication.
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