Publications by authors named "Ilaria Lanza"
Article Synopsis
- Metabolomics techniques, like DART-HRMS, effectively identify biomarkers in dairy products, enabling the differentiation of milk from various farming systems.
- The study utilized statistical methods (PLS-DA and LDA) to evaluate DART-HRMS's ability to distinguish between milk samples from lowland and Alpine systems, revealing strong identification markers for Alpine milk.
- Findings indicated that lowland milk has limited composition variation, while Alpine milk showed distinct metabolites, primarily monoacylglycerols, which explained its unique metabolomic profile.
Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differences in milk FA concentrations and, using a supervised factorial discriminant analysis, assesses potential biomarkers when replacing maize with other silages, grass/lucerne hays or fresh grass. The statistical modelling identified three main clusters of milk FA profiles associated with silages, hays and fresh grass as dominant roughages.
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