A novel approach based on untargeted lipidomics reveals differences in the lipid pattern among durum and common wheat

Laura Righetti; Josep Rubert; Gianni Galaverna; Kamila Hurkova; Chiara Dall'Asta; Jana Hajslova; Milena Stranska-Zachariasova

doi:10.1016/j.foodchem.2017.08.020

A novel approach based on untargeted lipidomics reveals differences in the lipid pattern among durum and common wheat

Food Chem. 2018 Feb 1:240:775-783. doi: 10.1016/j.foodchem.2017.08.020. Epub 2017 Aug 4.

Authors

Laura Righetti¹, Josep Rubert², Gianni Galaverna³, Kamila Hurkova², Chiara Dall'Asta⁴, Jana Hajslova⁵, Milena Stranska-Zachariasova⁶

Affiliations

¹ 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.
² 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.
³ Department of Food and Drug, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
⁴ Department of Food and Drug, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy. Electronic address: chiara.dallasta@unipr.it.
⁵ 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. Electronic address: jana.hajslova@vscht.cz.
⁶ 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. Electronic address: milena.stranska@vscht.cz.

PMID: 28946342
DOI: 10.1016/j.foodchem.2017.08.020

Abstract

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.

Keywords: 5-Heneicosylresorcinol (PubChem CID: 155461); 5-Heptadecylresorcinol (PubChem CID: 181700); 5-Pentacosylresorcinol (PubChem CID: 155463); Authenticity; Common wheat; Durum wheat; High-resolution mass spectrometry; Lipidomics; MGDG 36:3 (PubChem CID: 25244936); MGDG 36:5 (PubChem CID: 90657614); TAG 56:2 (18:1/18:1/20:0) (PubChem CID: 25240374); Untargeted metabolomics; Wheat.

MeSH terms

Lipids
Metabolomics
Triticum*

Substances

Lipids