Principal Component Analysis from Mass Spectrometry Data Combined to a Sensory Evaluation as a Suitable Method for Assessing Bitterness of Enzymatic Hydrolysates Produced from Micellar Casein Proteins

Archive ouverte

Daher, Dahlia | Deracinois, Barbara | Baniel, Alain | Wattez, Elodie | Dantin, Justine | Froidevaux, Renato | Chollet, Sylvie | Flahaut, Christophe

Edité par CCSD ; MDPI -

International audience. Enzymatic hydrolysis of food proteins generally changes the techno-functional, nutritional, and organoleptic properties of hydrolyzed proteins. As a result, protein hydrolysates have an important interest in the food industries. However, they tend to be characterized by a bitter taste and some off-flavors, which limit their use in the food industry. These tastes and aromas come from peptides, amino acids, and volatile compounds generated during hydrolysis. In this article, sixteen more or less bitter enzymatic hydrolysates produced from a milk protein liquid fraction enriched in micellar caseins using commercially available, food-grade proteases were subjected to a sensory analysis using a trained and validated sensory panel combined to a peptidomics approach based on the peptide characterization by reverse-phase high-performance liquid chromatography, high-resolution mass spectrometry, and bioinformatics software. The comparison between the sensory characteristics and the principal components of the principal component analysis (PCA) of mass spectrometry data reveals that peptidomics constitutes a convenient, valuable, fast, and economic intermediate method to evaluating the bitterness of enzymatic hydrolysates, as a trained sensory panel can do it.

Suggestions

Du même auteur

Development of innovative bitterness caseic hydrolysates by combining biocatalysis/sensory/proteomics approaches.

Archive ouverte | Daher, Dahlia | CCSD

International audience

Development of bitterness predictive tool for food protein enzymatic proteolysis: a sensomics approach.

Archive ouverte | Daher, Dahlia | CCSD

International audience

Development of a bitterness predictive tool for agrofood protein enzymatic proteolysis: a sensomics approach.

Archive ouverte | Daher, Dahlia | CCSD

International audience

Chargement des enrichissements...