Taurasi DOCG Wines from the Campania Region: A Pilot Study with an AI Approach on a Local Grape Cultivar
Open Access
- 6 November 2025
- journal article
- research article
- Published by MDPI AG in Metabolites
- Vol. 15 (11) , 725
Abstract
Background: The aging evolution of Taurasi, an Aglianico-based DOCG wine from southern Italy, has been comprehensively characterized here for the first time. Known for its high levels of bioactive metabolites with potential health benefits, this variety was analyzed using an integrated analytical and computational approach to explore the evolution of its composition during bottle aging. Methods: The analytical framework encompassed physicochemical profiling (density, pH, °Brix) and targeted spectrophotometric analyses for polyphenols (Folin–Ciocâlteu), antioxidant capacity (DPPH, ABTS), and anthocyanins (TAC). The phenolic and volatile fractions were analyzed in detail qualitatively and quantitatively using HPLC-UV-DAD and HS-SPME-GC/MS, respectively. Results: The aging process was characterized by a profound phenolic reorganization, with a significant decrease in monomeric phenols and an accumulation of key phenolic acids and stilbenes. The net result of these opposing trends was an overall increase in antioxidant capacity, a significant decrease in total anthocyanins, and an aromatic shift from primary fruity esters to a complex tertiary bouquet. Additionally, machine learning techniques were employed to predict aging-related variations in antioxidant activity and chemical parameters, establishing links between compositional shifts and potential bioactivity. Conclusions: This study marks the first-ever investigation of Taurasi Aglianico wine aging, offering a novel multidisciplinary approach that provides comprehensive insights into the wine’s chemical evolution. The findings emphasize the potential of Taurasi Aglianico in both enological and health-related contexts, highlighting its unique aging dynamics and bioactive potential.Keywords
Funding Information
- National Research Center for Agricultural Technologies (B63D21015240004)
This publication has 37 references indexed in Scilit:
- Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcareMedicine Advances, 2024
- Interactions of Vitis vinifera L. cv. Pinot Noir grape anthocyanins with seed proanthocyanidins and their effect on wine color and phenolic compositionLWT, 2022
- How must pH affects the level of red wine phenolsLWT, 2020
- Impact of Saccharomyces cerevisiae and Metschnikowia fructicola autochthonous mixed starter on Aglianico wine volatile compoundsJournal of Food Science and Technology, 2019
- Oxygen exposure of tannins-rich red wines during bottle aging. Influence on phenolics and color, astringency markers and sensory attributesEuropean Food Research and Technology, 2016
- Evolution of volatile compounds, aroma attributes, and sensory perception in bottle-aged red wines and their correlationEuropean Food Research and Technology, 2016
- Evolution of the phenolic content, chromatic characteristics and sensory properties during bottle storage of red single-cultivar wines from Castilla La Mancha regionFood Research International, 2013
- Cross-Validation2009
- Chemical Constituents of Grapes and Wine2008
- Analytical characterization of the aroma of Tinta Negra Mole red wine: Identification of the main odorants compoundsAnalytica Chimica Acta, 2006