In situ and real-time authentication of Thunnus species by iKnife rapid evaporative ionization mass spectrometry based lipidomics without sample pretreatment

Gongshuai Song; Kang Chen; Haixing Wang; Mengna Zhang; Xina Yu; Jie Wang; Qing Shen

doi:10.1016/j.foodchem.2020.126504

In situ and real-time authentication of Thunnus species by iKnife rapid evaporative ionization mass spectrometry based lipidomics without sample pretreatment

Food Chem. 2020 Jul 15:318:126504. doi: 10.1016/j.foodchem.2020.126504. Epub 2020 Feb 27.

Authors

Gongshuai Song¹, Kang Chen¹, Haixing Wang², Mengna Zhang¹, Xina Yu¹, Jie Wang¹, Qing Shen³

Affiliations

¹ Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, China.
² Zhejiang Province Key Lab of Anesthesiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325035, China.
³ Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, China. Electronic address: sq@zjgsu.edu.cn.

PMID: 32146310
DOI: 10.1016/j.foodchem.2020.126504

Abstract

Tuna adulteration and mislabeling are serious problem worldwide and have caused economic loss and consumer rights violation. In this study, an electrometric knife (iKnife) coupling rapid evaporative ionization mass spectrometry (REIMS) and a multivariate recognition model were developed and employed for in situ and real-time authentication of four tuna species without sample preparation. The results showed that the lipidomic profiles were successfully acquired and the differences in fatty acids and phospholipids were statistically analyzed to be significant (p < 0.05). The model displayed the superb classification accuracy (>93%) and validation (R²(Y) = 0.992, Q² = 0.986), and the main contributors of m/z 817.64, m/z 809.68, etc. were screened out to be used as potential biomarkers. Based on this technique, the identity of blind tuna samples could be unambiguously authenticated with the results displayed on a monitor screen directly. This study provided a front-line rapid detection method to prove the authenticity of tuna species.

Keywords: Lipidomics; Multivariate recognition model; REIMS; Tuna species authentication.

Publication types

Evaluation Study

MeSH terms

Animals
Fatty Acids / chemistry
Food Contamination / analysis*
Lipidomics / methods*
Mass Spectrometry / methods*
Phospholipids / chemistry
Tuna

Substances

Fatty Acids
Phospholipids