In this research, we aimed to optimize the enzymatic-assisted extraction of volatile oily compounds from red wine lees, which give cognac flavor to the wine. By recovering the wine lees byproducts, the following can be obtained [1]: wastewater, ethanol, antioxidants, tartrate (as calcium tartrate and tartaric acid) and yeast cells. The chemical analysis showed that the volatile composition of wine lees [2,3] consists of esters, acids, alcohols, aldehydes, furanic compounds, terpenes and C13-norisoprenoids, whilst the phenolic composition [4] contains flavonoids and non-flavonoids. In the first stage, an enzymatic treatment was performed before the extraction of light oils using different concentrations of β-glucanase/pectinase from Novozymes (2500 PGNU/g Polygalacturonase and 75 BGXU/g β-glucanase (exo-1,3-), Novozymes, Bagsværd, Denmark), at different reaction temperatures and times. The treatment was performed to a mixture of 1.5/1 w/w wine lees aqueous sediment (from Ișalnița, Dolj county) and double-distilled water, under agitation. In the second stage, hydrodistillation of the mixture was performed using a Clevenger installation, but with prior removal of the first distillation head from the collecting tube, followed by recirculation of the azeotrope in the system at reflux until the substrate was depleted, at 141 °C in the heated bath for 4 h 20 min as previously reported [5]. The final concentrated distillate, rich in light volatile oils, was collected from the collecting tube, and the concentration of the main esters was determined using Gas Chromatography–Mass Spectrometry from calibration curves of a standard purchased from Sigma Aldrich (Merck Group, Darmstadt, Germany). In order to maximize the concentration of esters in the volatile oils extracted from wine lees, the optimization of the necessary enzymatic-assisted extraction conditions (concentration, temperature and time) was performed using Response Surface Methodology with the Design Expert v11 application (Stat-Ease, Minneapolis, MN, USA). The main esters present in the sample are ethyl octanoate, ethyl decanoate, ethyl dodecanoate and ethyl hexadecanoate. The concentrations of these major esters ranged from 0.158% to 0.481% in hydrodistillate. The final polynomial equation of the estimated coefficients was calculated using Analysis of Variance for the selected factorial model. The experimental values of ester concentrations of the volatile oily compounds are similar to the predicted values obtained using Response Surface Methodology. The extraction temperature and time had higher significance than the β-glucanase/pectinase concentration on the aromatic composition extracted from red wine lees. However, the enzymatic extraction treatment applied to the wine lees before the hydrodistillation process, increasing the concentrations by more than 30% according to the data analysis. We optimized the enzymatic-assisted extraction of volatile oily compounds from red wine lees. Applying an enzymatic pre-treatment with β-glucanase/pectinase before the hydrodistillation process, the wine lees releases higher ethyl ester concentrations, which are responsible for the aromatic smell and taste, than without the enzymatic pre-treatment, which represents an encouraging process.
Author Contributions
Conceptualization, F.O.; methodology, M.D.-A. and E.R.; investigation, M.D.-A., E.R., D.C.-A.; project administration, M.D.-A.; supervision, F.O., D.C.-A.; validation M.D.-A. and E.R.; visualization, D.C.-A.; writing—original draft preparation, M.D.-A.; writing—review and editing, D.C.-A. and F.O.; funding acquisition, F.O. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by project POC-A1-A1.2.3-G-2015-P_40_352-SECVENT, My_SMIS 105684, “Sequential processes of closing the side streams from bioeconomy and innovative (bio)products resulting from it”, subsidiary project 1518/2019. The SECVENT project was co-funded by European Regional Development Fund (ERDF), The Competitiveness Operational Programme (POC), Axis 1.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Dimou, C.; Vlysidis, A.; Kopsahelis, N.; Papanikolaou, S.; Koutinas, A.A.; Kookos, I. Techno-economic evaluation of wine lees refining for the production of value-added products. Biochem. Eng. J. 2016, 116, 157–165. [Google Scholar] [CrossRef]
- Alarcón, M.; López-Viñas, M.; Pérez, M.A.S.; Díaz-Maroto, M.C.; Alañón, M.E.; Soriano, A. Effect of Wine Lees as Alternative Antioxidants on Physicochemical and Sensorial Composition of Deer Burgers Stored during Chilled Storage. Antioxidants 2020, 9, 687. [Google Scholar] [CrossRef] [PubMed]
- Sancho-Galán, P.; Amores-Arrocha, A.; Jiménez-Cantizano, A.; Palacios, V. Physicochemical and Nutritional Characterization of Winemaking Lees: A New Food Ingredient. Agronomy 2020, 10, 996. [Google Scholar] [CrossRef]
- De Iseppi, A.; Lomolino, G.; Marangon, M.; Curioni, A. Current and future strategies for wine yeast lees valorization. Food Res. Int. 2020, 137, 109352. [Google Scholar] [CrossRef] [PubMed]
- Deșliu-Avram, M.; Popescu, M.; Radu, E.; Constantinescu-Aruxandei, D.; Oancea, F. Optimization of Aroma Compounds Extraction from Wine Lees Using a Taguchi Design. Proceedings 2020, 57, 42. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).