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基于超临界流体色谱-四极杆飞行时间质谱联用仪的三酰甘油伪靶向方法检测掺有高亚油酸植物油的核桃油。

Detection of walnut oil adulterated with high-linoleic acid vegetable oils using triacylglycerol pseudotargeted method based on SFC-QTOF-MS.

作者信息

Zhang Jing-Jing, Gao Yan, Zhao Mei-Ling, Xu Xiao, Xi Bo-Nan, Lin Li-Ke, Zheng Jing-Yi, Chen Bang, Shu Yu, Li Cong, Shen Yehua

机构信息

School of Chemical Engineering, Northwest University, Xi'an, Shaanxi 710069, China.

Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China.

出版信息

Food Chem. 2023 Aug 1;416:135837. doi: 10.1016/j.foodchem.2023.135837. Epub 2023 Mar 7.

Abstract

Authentication of walnut oil (WO) is challenging due to the adulteration of high-linoleic acid vegetable oils (HLOs) with similar fatty acid composition. To allow the discrimination of WO adulteration, a rapid, sensitive and stable scanning method based on supercritical fluid chromatography quadrupole time-of-flight mass spectrometry (SFC-QTOF-MS) was established to profile 59 potential triacylglycerol (TAGs) in HLOs samples within 10 min. Limit of quantitation of the proposed method is 0.002 µg mL and the relative standard deviations range from 0.7% to 12.0%. TAGs profiles of WO samples from various varieties, geography origins, ripeness, and processing methods were used to construct orthogonal partial least squares-discriminant analysis (OPLS-DA) and OPLS models that were highly accurate in both qualitative and quantitative prediction at adulteration levels as low as 5% (w/w). This study advances the TAGs analysis to characterize vegetable oils and holds promise as an efficient method for oil authentication.

摘要

由于高亚油酸植物油(HLOs)与核桃油(WO)脂肪酸组成相似,对核桃油进行掺假鉴别具有挑战性。为了鉴别核桃油掺假情况,建立了一种基于超临界流体色谱 - 四极杆飞行时间质谱(SFC-QTOF-MS)的快速、灵敏且稳定的扫描方法,可在10分钟内对HLOs样品中的59种潜在三酰甘油(TAGs)进行分析。该方法的定量限为0.002 μg/mL,相对标准偏差范围为0.7%至12.0%。利用来自不同品种、地理来源、成熟度和加工方法的核桃油样品的TAGs图谱构建了正交偏最小二乘判别分析(OPLS-DA)和OPLS模型,这些模型在低至5%(w/w)掺假水平的定性和定量预测方面都具有很高的准确性。本研究推进了TAGs分析以表征植物油,并有望成为一种有效的油脂鉴别方法。

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