A promising ³¹P NMR-multivariate analysis approach for the identification of milk phosphorylated metabolites and for rapid authentication of milk samples.

ABSTRACT: A fast and reliable method for the identification of milk from different mammalians was developed by using ³¹P NMR metabolite profile of milk serum coupled to multivariate analysis (PCA and classification models UNEQ, SIMCA and K-NN). Ten milk samples from six different mammalians, relevant to human nutrition (human, cow, donkey, mare, goat, sheep), were analyzed and eight monophosphorylated components were identified and quantified: phosphocreatine (PCr), glycerophosphorylcholine (GPC), glycerophosphorylethanolamine (GPE), N-acetylglucosamine-1-phosphate (NAcGlu-1P), lactose-1-phosphate (Lac-1P), galactose-1-phosphate (Gal-1P), phosphorylcholine (PC), glucose-6-phosphate (Glu-6P). PCA showed interesting clustering based on the animal genus. K-NN can be successfully used

SUBMITTER: Bruschetta G 

PROVIDER: S-EPMC8339344 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature