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基于超高效液相色谱-四极杆飞行时间质谱联用化学计量学的脂质组学和代谢组学整合用于茶籽油的真实性鉴定。

Integration of lipidomics and metabolomics for the authentication of camellia oil by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry coupled with chemometrics.

机构信息

Chinese Academy of Inspection and Quarantine, Beijing 100176, People's Republic of China; School of Food and Health, Beijing Technology and Business University, Beijing 100048, People's Republic of China.

Chinese Academy of Inspection and Quarantine, Beijing 100176, People's Republic of China.

出版信息

Food Chem. 2022 Mar 30;373(Pt B):131534. doi: 10.1016/j.foodchem.2021.131534. Epub 2021 Nov 5.

Abstract

The integration of lipidomics and metabolomics approaches, based on UPLC-QTOF-MS technology coupled with chemometrics, was established to authenticate camellia oil adulterated with rapeseed oil, peanut oil, and soybean oil. Lipidomics revealed that the glyceride profile provides a prospective authentication of camellia oil, but no characteristic markers were available. Sixteen characteristic markers were identified by metabolomics. For camellia oil, all six markers were sapogenins of oleanane-type triterpene saponins. Lariciresinol, sinapic acid, doxercalciferol, and an unknown compound were identified as markers for rapeseed oil. Characteristic markers in peanut oil were formononetin, sativanone, and medicarpin. In the case of soybean oil, the characteristic markers were dimethoxyflavone, daidzein, and genistein. The established OPLS-DA and OPLS prediction models were highly accurate in the qualitative and quantitative analyses of camellia oil adulterated with 5% other oils. These results indicate that the integration of lipidomics and metabolomics approaches has great potential for the authentication of edible oils.

摘要

基于 UPLC-QTOF-MS 技术结合化学计量学,建立了脂质组学和代谢组学方法的整合,用于鉴定掺杂菜籽油、花生油和大豆油的茶籽油。脂质组学表明,甘油酯图谱为茶籽油的鉴定提供了有前景的方法,但没有特征标记物。通过代谢组学鉴定了 16 个特征标记物。对于茶籽油,所有 6 个标记物均为齐墩果烷型三萜皂苷的皂素。黎芦醇、芥子酸、骨化二醇和一种未知化合物被鉴定为菜籽油的标记物。花生油的特征标记物为芒柄花素、sativanone 和 medicarpin。在大豆油的情况下,特征标记物为二甲氧基黄酮、大豆苷元和染料木素。建立的 OPLS-DA 和 OPLS 预测模型在定性和定量分析掺有 5%其他油的茶籽油方面具有很高的准确性。这些结果表明,脂质组学和代谢组学方法的整合对于食用油的鉴定具有很大的潜力。

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