期刊
INTERNATIONAL DAIRY JOURNAL
卷 112, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.idairyj.2020.104859
关键词
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资金
- Fondazione Cariverona (SAFIL project e call 2016)
- SusAn, an ERA-Net under European Union's Horizon 2020 research and innovation programme [69623]
- MiPAAF
The study utilized DART-HRMS technology to authenticate milk samples derived from different feed sources, identifying key biomarkers that influence the milk metabolomics profile through PLS-DA and LDA analysis. The conclusion suggests that the botanical origin of feed and conservation method significantly impact the composition of milk.
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 squareediscriminant 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. (C) 2020 Elsevier Ltd. All rights reserved.
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