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• W4313305391 abstract "Free-range eggs are ethically desirable but as with all high-value commercial products, the establishment of provenance can be problematic. Here, we compared a simple one-step isopropanol method to a two-step methyl-tert-butyl ether method for extracting lipid species in chicken egg yolks before liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The isopropanol method extracted 937 lipid species from 20 major lipid subclasses with high reproducibility (CV < 30 %). Machine learning techniques could differentiate conventional cage, barn, and free-range eggs using an external test dataset with an accuracy of 0.94, 0.82, and 0.82, respectively. Lipid species that differentiated cage eggs were predominantly phosphocholines and phosphoethanolamines whilst the free-range egg lipidomes were dominated by acylglycerides with up to three fatty acids. The lipid profiles were found to be characteristic of the cage, barns, and free-range eggs. The lipidomic analysis together with the statistical modeling approach thus provides an efficient tool for verifying the provenance of conventional chicken eggs." @default.
• W4313305391 created "2023-01-06" @default.
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• W4313305391 date "2023-06-01" @default.
• W4313305391 modified "2023-10-17" @default.
• W4313305391 title "Targeted lipidomics coupled with machine learning for authenticating the provenance of chicken eggs" @default.
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• W4313305391 doi "https://doi.org/10.1016/j.foodchem.2022.135366" @default.
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