Publications by authors named "Pier Paolo Becchi"

Article Synopsis
  • - This study explored how different ratios of chymosin and pepsin in rennet affect the sensory profile of Grana Padano PDO cheese over a ripening period of 10 to 20 months.
  • - Results indicated that a rennet composition of 83% chymosin and 17% pepsin led to a more complex sensory profile after 12 months of aging, highlighting the significance of enzyme selection in cheesemaking.
  • - Analysis revealed that ripening time was a crucial factor affecting cheese characteristics, with specific compounds like 3-methylbutanoic acid and homoethone increasing in cheeses made with higher pepsin percentages, influencing the sensory experience.
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Two untargeted metabolomics approaches (LC-HRMS and H NMR) were combined to classify Amarone wines based on grape withering time and yeast strain. The study employed a multi-omics data integration approach, combining unsupervised data exploration (MCIA) and supervised statistical analysis (sPLS-DA). The results revealed that the multi-omics pseudo-eigenvalue space highlighted a limited correlation between the datasets (RV-score = 16.

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Article Synopsis
  • - The study investigates how factors like ripening, altimetric zone, and rind inclusion affect the chemical makeup of Parmigiano Reggiano cheese, employing an untargeted metabolomics approach combined with machine learning.
  • - Ripening was found to be a crucial determinant in the characteristics of Parmigiano Reggiano, with specific amino acids and lipid derivatives identified as key compounds.
  • - A random forest classifier showed strong predictive abilities for rind inclusion levels in grated cheeses and the impact of dairy production altitude, providing insights into quality and authenticity markers in cheese.
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In this study, a rowanberry pomace defatted with supercritical CO (2%-AC), its ethanolic extract (1%-E) and extraction residue (2%-R), were tested in meatball preparation. The meatballs with 1%-E demonstrated the highest in vitro radical scavenging capacity. In the case of 1%-E the pH of meatballs was significantly lower compared to the control sample (P = 0.

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Untargeted metabolomics based on ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry was combined with sensory analysis to provide new insights into the impact of the feeding system from mountain regions (grassland deriving from permanent meadows) on the chemical fingerprint of Parmigiano Reggiano PDO hard cheese. In the framework of a representative investigation, two different ripening times (12 and 24 months) were also considered. Multivariate statistics allowed discriminating cheese samples from different feeding regimens according to their metabolomics signatures.

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In this work, untargeted metabolomics was used to shed light on the impact of different pasture-based diets on the chemical profile of Sarda sheep milk. The study considered 11 dairy sheep farms located in Sardinia, and milk samples were collected in 4 different periods, namely January, March, May, and July 2019, when all sheep had 58, 98, 138, and 178 days in milk, respectively. The animal diet composition was based on the intake of grazed herbage in natural pasture, hay, and concentrate.

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In this work, we studied the impact of encapsulated elderberry extracts as natural meat extenders to preserve both the quality and the oxidative stability of beef burgers. In particular, the comprehensive chemical changes of beef burgers treated with different antioxidants, namely, (a) a control without antioxidants, (b) 0.5 g/kg sodium erythorbate (ERY), (c) 2.

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