Real-time authentication of minced shrimp by rapid evaporative ionization mass spectrometry

• Published in: Food chemistry Vol. 383; p. 132432
• Main Authors: Lu, Weibo, Wang, Pingya, Ge, Lijun, Chen, Xi, Guo, Shunyuan, Zhao, Qiaoling, Zhu, Xiaofang, Cui, Yiwei, Zhang, Min, Chen, Kang, Ding, Yin-Yi, Shen, Qing
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 30-07-2022
• Subjects: Animals; Crustacea; Fatty Acids - chemistry; Lipidomics; Mass Spectrometry - methods; Minced shrimp; Multivariate statistical analysis; Phospholipids - chemistry; Rapid evaporative ionization mass spectrometry (REIMS); Real-time recognition; Seafood - analysis; Lipidomics; Real-time recognition; Rapid evaporative ionization mass spectrometry (REIMS); Multivariate statistical analysis; Minced shrimp
• ISSN: 0308-8146; 1873-7072
• DOI: 10.1016/j.foodchem.2022.132432

•REIMS method was developed for real-time seven shrimp paste authentication.•The difference among seven shrimp samples was studied.•Multivariate statistical models revealed the potential marker ions for inter-difference.•High accuracy of this real-time recognition model was verified by establishing blind sample tests.
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.