Varietal and Geographical Origin Characterization of Peaches and Nectarines by Combining Analytical Techniques and Statistical Approach

<i>Prunus persica</i> L. is one of the most important fruit crops in European production, after grapes, apples, oranges and watermelons. Most varieties are rich in secondary metabolites, showing antioxidant properties for human health. The purpose of this study was to develop a chemical...

Full description

Bibliographic Details
Main Authors: Gabriella Tamasi, Claudia Bonechi, Gemma Leone, Marco Andreassi, Marco Consumi, Paola Sangiorgio, Alessandra Verardi, Claudio Rossi, Agnese Magnani
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/14/4128
Description
Summary:<i>Prunus persica</i> L. is one of the most important fruit crops in European production, after grapes, apples, oranges and watermelons. Most varieties are rich in secondary metabolites, showing antioxidant properties for human health. The purpose of this study was to develop a chemical analysis methodology, which involves the use of different analytical-instrumental techniques to deepen the knowledge related to the profile of metabolites present in selected cultivars of peaches and nectarines cultivated in the Mediterranean area (Southern Italy). The comparative study was conducted by choosing yellow-fleshed peaches (<i>RomeStar</i>, <i>ZeeLady</i>) and yellow-fleshed nectarines (<i>Nectaross</i>, <i>Venus</i>) from two geographical areas (Piana di Sibari and Piana di Metaponto), and by determining the chemical parameters for the flesh and skin that allow for identification of any distinctive varietal and/or geographical characteristics. A combined analytical and chemometric approach was used, trough rheological, thermogravimetric (TGA), chromatographic (HPLC-ESI-MS), spectroscopic (UV-Vis, ATR-FTIR, NMR) and spectrometric (ToF-SIMS) analysis. This approach allowed us to identify the characterizing parameters for the analysis of a plant matrix so that the developed methodology could define an easily exportable and extendable model for the characterization of other types of vegetable matrices.
ISSN:1420-3049