Righetti Laura, Rubert Josep, Galaverna Gianni, Hurkova Kamila, Dall'Asta Chiara, Hajslova Jana, Stranska-Zachariasova Milena
Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague 6, Czech Republic; Department of Food and Drug, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague 6, Czech Republic.
Food Chem. 2018 Feb 1;240:775-783. doi: 10.1016/j.foodchem.2017.08.020. Epub 2017 Aug 4.
In the present work the possibility of using an untargeted metabolomic strategy to discriminate between common and durum wheat lipidome for an authenticity purpose was explored. A first study was conducted by analyzing 52 samples from two durum and common wheat varieties. Afterwards, an extended and independent sample set (173 samples and five varieties) was used as a confirmatory study to verify the stability and consistency of the models obtained. Putatively identified markers were evaluated applying ROC curves resulting in individual marker AUC >90% both in preliminary and confirmatory study. In addition, digalactosyl diglyceride (DGDG) 36:4 was shown to be an effective marker differentiating between authentic durum wheat and its adulterated admixture down to 3% adulteration level, which is the maximum contamination level allowed by Italian legislation. The results demonstrated that untargeted lipidomics, in conjunction with chemometric tools has a significant potential for screening and detection of wheat fraud.
在本研究中，探索了使用非靶向代谢组学策略区分普通小麦和硬粒小麦脂质组以进行真实性鉴定的可能性。首先，对来自两个硬粒小麦和普通小麦品种的52个样品进行了分析。之后，使用一个扩展的独立样品集（173个样品和五个品种）作为验证性研究，以验证所获得模型的稳定性和一致性。应用ROC曲线对推定鉴定出的标志物进行评估，在初步研究和验证性研究中，单个标志物的AUC均> 90％。此外，二半乳糖基甘油二酯（DGDG）36:4被证明是一种有效的标志物，可区分真实的硬粒小麦及其掺假混合物，掺假水平低至3％，这是意大利立法允许的最大污染水平。结果表明，非靶向脂质组学与化学计量学工具相结合在筛查和检测小麦欺诈方面具有巨大潜力。
