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. 2017 Mar 24;6(4):24.
doi: 10.3390/foods6040024.

A Comparative Study of Phenols in Apulian Italian Wines

Andrea Ragusa  1 , Carla Centonze  2 , Maria E Grasso  3 , Maria F Latronico  4 , Pier F Mastrangelo  5 , Federica Sparascio  6 , Francesco P Fanizzi  7 , Michele Maffia  8
Affiliations

A Comparative Study of Phenols in Apulian Italian Wines

Andrea Ragusa et al. Foods. .

Abstract

Nutraceutics is a growing research field in which researchers study and attempt to improve the biological properties of metabolites in food. Wine is one of the most consumed products in the world and contains a plethora of molecules biologically relevant to human health. In this article, several polyphenols with potential antioxidant activity were measured in wines from Apulia, in Southeast Italy. Hydroxytyrosol, gallic and syringic acids, luteolin, quercetin, and trans-resveratrol were identified and quantified by HPLC. The amount of the analyzed metabolites in wines were largely dependent on their color, with red ones being the richest compared to white and rose wines. Gallic acid was the most abundant polyphenol, followed by syringic acid and luteolin. Nevertheless, significant amounts of hydroxytyrosol, quercetin, and trans-resveratrol were also found. The average concentration of polyphenols found in these wines could have potential health-promoting effects, especially if consumed in moderate quantities on a regular basis.

Keywords: HPLC; antioxidants; hydroxytyrosol; polyphenols; trans-resveratrol; wine.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Map of Italy with a zoom on a southern Apulia region (Salento, in red). The black dots represent the sites of production of the wines.
Figure 2
Figure 2
Histogram of the analyzed phenols grouped for wine color.
Figure 3
Figure 3
(a) Principal component analysis (PCA) scoreplot (PC1 vs. PC2) for red (blue circles), white (red squares), and rose (green diamonds) wines. Ellipses represent the density space of each group with a correlation coefficient of 0.95. (b) Loadings plot of PC1 vs. PC2.
Figure 4
Figure 4
(a) GDA scoreplot; (b) Mahalanobis distances scatter plot for white (blue circles) and rose (red squares) wines.
See this image and copyright information in PMC

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