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基于 iKnife 快速蒸发电离质谱脂质组学的无需样品预处理原位和实时金枪鱼种类鉴定。

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

机构信息

Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, China.

Zhejiang Province Key Lab of Anesthesiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325035, China.

出版信息

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

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 (R(Y) = 0.992, Q = 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.

摘要

金枪鱼掺假和标签欺诈是一个全球性的严重问题,已经造成了经济损失和消费者权益的侵犯。在这项研究中,我们开发了一种电化刀(iKnife)耦合快速蒸发电离质谱(REIMS)和一个多元识别模型,用于在无需样品制备的情况下对四种金枪鱼进行原位和实时鉴定。结果表明,成功获得了脂质组学图谱,并对脂肪酸和磷脂的差异进行了统计学分析,结果具有统计学意义(p < 0.05)。该模型显示了出色的分类准确性(>93%)和验证(R(Y) = 0.992,Q = 0.986),筛选出 m/z 817.64、m/z 809.68 等的主要贡献者作为潜在的生物标志物。基于这项技术,可以直接在监视器屏幕上显示结果,明确鉴定出盲样金枪鱼的身份。这项研究提供了一种前沿的快速检测方法,可以证明金枪鱼物种的真实性。

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