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- W3083247148 abstract "The study aimed to authenticate milk samples derived from maize silage (MS)-, crop silage/hay (SH)- and grassland hay (GH)-based diets through direct analysis in real time coupled to high resolution mass spectrometry (DART-HRMS). A mid-level data fusion partial least square–discriminant analysis (PLS-DA) allowed the correct separation of milk samples, as confirmed by a linear discriminant analysis (LDA) validation procedure. A pool of ions (absolute loading value > 0.3) of a set of four (two extraction solvents per two ion modes) PLS-DA was selected, fused and submitted to hierarchical cluster analysis. This approach identified the 25 most informative DART-HRMS biomarkers: lactate, glutamate and hydroxycinnamic acid for MS; creatinine, methyl 2-furoate, norgramine, C18:2, C20:2 and C22:2 monoacylglycerols for SH; palmitate, O-methylated flavonoid and glyceric acid for GH. This restricted (+/−) DART-HRMS pool of low-molecular-weight biomolecules confirmed that forage botanical origin and conservation method affect the milk metabolomics profile." @default.
- W3083247148 created "2020-09-11" @default.
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- W3083247148 date "2021-01-01" @default.
- W3083247148 modified "2023-09-24" @default.
- W3083247148 title "Authentication of forage-based milk by mid-level data fusion of (+/−) DART-HRMS signatures" @default.
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- W3083247148 doi "https://doi.org/10.1016/j.idairyj.2020.104859" @default.
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