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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
