Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks

文献类型： 外文期刊

第一作者： Dou, Xinjing

作者： Dou, Xinjing;Zhang, Liangxiao;Wang, Xiao;Yang, Ruinan;Wang, Xuefang;Ma, Fei;Yu, Li;Mao, Jin;Li, Hui;Wang, Xiupin;Li, Peiwu;Dou, Xinjing;Wang, Xiao;Yang, Ruinan;Zhang, Liangxiao;Ma, Fei;Li, Peiwu;Zhang, Liangxiao;Wang, Xuefang;Yu, Li;Wang, Xiupin;Li, Peiwu;Mao, Jin;Li, Hui;Li, Peiwu

作者机构：

关键词： metabolic markers; edible oil; adulteration detection; metabolic network; LC-MS; MS

期刊名称：METABOLITES （ 影响因子：4.932； 五年影响因子：4.98 ）

ISSN：

年卷期： 2020 年 10 卷 3 期

页码：

收录情况： SCI

摘要： Food adulteration is a challenge faced by consumers and researchers. Due to DNA fragmentation during oil processing, it is necessary to discover metabolic markers alternative to DNA for adulteration detection of edible oils. However, the contents of metabolic markers vary in response to various factors, such as plant species, varieties, geographical origin, climate, and cultivation measures. Thus, it is difficult to identify a universal marker for all adulterants that may be present in some authentic samples. Currently, the specificity and selectivity of metabolic biomarkers are difficult to validate. Therefore, this study developed a screening strategy based on plant metabolic networks by developing a targeted analytical method for 56 metabolites in a metabolic network, using liquid/liquid extraction-liquid chromatography-tandem mass spectrometry (LC-MS/MS). We identified a chain of 11 metabolites that were related to isoflavonoid biosynthesis, which were detected in soybean oils but not rapeseed oils. Through multiple-marker mutual validation, these metabolites can be used as species-specific universal markers to differentiate soybean oil from rapeseed oil. Moreover, this method provides a model for screening characteristic markers of other edible vegetable oils and foods.

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