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Wine Lees as Source of Antioxidant Molecules: Green Extraction Procedure and Biological Activity.
De Luca, Michele; Restuccia, Donatella; Spizzirri, Umile Gianfranco; Crupi, Pasquale; Ioele, Giuseppina; Gorelli, Beatrice; Clodoveo, Maria Lisa; Saponara, Simona; Aiello, Francesca.
Afiliação
  • De Luca M; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
  • Restuccia D; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
  • Spizzirri UG; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
  • Crupi P; Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.
  • Ioele G; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
  • Gorelli B; Department of Life Sciences, University of Siena, Via Aldo Moro 2, 53100 Siena, Italy.
  • Clodoveo ML; Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.
  • Saponara S; Department of Life Sciences, University of Siena, Via Aldo Moro 2, 53100 Siena, Italy.
  • Aiello F; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
Antioxidants (Basel) ; 12(3)2023 Mar 02.
Article em En | MEDLINE | ID: mdl-36978870
ABSTRACT
An ultrasound-assisted extraction method, employing ethanol and water as solvents at low temperature (30 °C) and reduced time (15 min), was proposed to extract bioactive molecules from different cultivars (Magliocco Canino, Magliocco Rosato, Gaglioppo, and Nocera Rosso) of wine lees. All the extract yields were evaluated and their contents of phenolic acids, flavonoids, and total polyphenols were determined by means of colorimetric assays and high-performance liquid chromatography coupled with diode-array detection (HPLC-DAD) and Fourier transform infrared (FTIR) techniques. Radical scavenging assays were performed and the Magliocco Canino extracted with a hydroalcoholic mixture returned the best results both against ABTS (0.451 mg mL-1) and DPPH (0.395 mg mL-1) radicals. The chemometric algorithms principal component analysis (PCA) and partial least square regression (PLS) were used to process the data obtained from all qualitative-quantitative sample determinations with the aim of highlighting data patterns and finding possible correlations between composition and antioxidant features of the different wine lees cultivars and the extraction procedures. Wine lees from Magliocco Canino and Magliocco Rosato were found to be the best vegetable matrices in terms of metabolite content and antioxidant properties. The components extracted with alcoholic or hydroalcoholic solvents, specifically (-)-epigallocatechin gallate, chlorogenic acid, and trans-caftaric acid, were found to be correlated with the antioxidant capacity of the extracts. Multivariate data processing was able to identify the compounds related to the antioxidant features. Two PLS models were optimized by using their concentration levels to predict the IC50 values of the extracts in terms of DPPH and ABTS with high values of correlation coefficient R2, 0.932 and 0.824, respectively, and a prediction error lower than 0.07. Finally, cellular (SH-SY5Y cells) antioxidant assays were performed on the best extract (the hydroalcoholic extract of Magliocco Canino cv) to confirm its biological performance against radical species. All these recorded data strongly outline the aptness of valorizing wine lees as a valuable source of antioxidants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Antioxidants (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Antioxidants (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália