基于脂质组学的沙棘油及其掺假油的甘油酯组成比较分析

Comparative Analysis of the Glyceride Composition of Sea Buckthorn Oil and Its Adulterated Oil Based on Lipidomics

采用脂质组学的方法,基于超高效液相色谱-四级杆飞行时间质谱(UPLC-QTOF-MS)开展沙棘油及其掺假油甘油酯组成比较分析。对沙棘油及其对照油(葵花籽油、菜籽油和大豆油)进行检测,共检出甘油二酯(DAGs)及甘油三酯(TAGs)92种,其中,甘油二酯16种,甘油三酯76种。根据测得甘油酯采用主成分分析(PCA)和正交偏最小二乘判别分析(OPLSDA)等化学计量学方法,发掘样品聚类区分及预测情况。结果表明:该方法建立的判别模型具有良好的解释能力及预测能力,可有效实现沙棘油、葵花籽油、菜籽油及大豆油的区分鉴别,为高值食用油真伪鉴别提供参考。

To comparative analysis of the glyceride composition of sea buckthorn oil,this study examined the potential of lipidomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS).There were 92 diglycerides and triglycerides had been selected by the analysis of genuine sea buckthorn oil and its adulterants oil(exemplified by sunflower seed oil,rapeseed oil and soybean oil).Among them,16 were diglycerides and 76 were triglycerides.The cluster differentiation and prediction of samples was carried out by chemometrics analysis,like principal component analysis(PCA),orthogonal partial least squares discrimination analysis(OPLSDA)and so on.The results showed that the model established by this method had good explanatory ability and predictive ability.It can be used to distinguish sea buckthorn oil,sunflower seed oil,rapeseed oil and soybean oil and can provide experience for the identification of high-value edible oil.