1
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Yang Y, Ye Z, Araujo LD, Rutan T, Deed RC, Kilmartin PA. Inter-regional characterisation of New Zealand pinot noir wines: Correlation between wine colour, monomeric and polymeric phenolics, tannin composition, antioxidant capacity, and sensory attributes. Food Chem 2024; 467:142311. [PMID: 39647390 DOI: 10.1016/j.foodchem.2024.142311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 10/28/2024] [Accepted: 11/29/2024] [Indexed: 12/10/2024]
Abstract
A total of 116 New Zealand Pinot Noir wines from Central Otago (CO), Marlborough (MLB), and Martinborough (MTB) were analysed for colour, monomeric and total phenolics, antioxidant capacity, and tannins using colourimetric and HPLC methods. Correlations among chemical compositions and analytical techniques were examined. Additionally, a sensory study assessed wine colour and five mouthfeel attributes. Discriminant analyses revealed significant regional characteristics. CO wines displayed unique monomeric anthocyanin profiles and were perceived as softer on the palate. MLB wines showed higher residual sugar but lower colour intensity and tannin concentration. MTB wines exhibited higher colour and robust mouthfeels, linked to higher colour absorbances, polymeric pigments, and tannins. Mouthfeel attributes correlated significantly with wine total phenolics, MCP and HPLC tannin measurements, and the degree of tannin polymerisation (mDP). The combined chemical and sensory data enhanced regional differentiation, demonstrating the importance of integrating comprehensive chemical measurements with sensory evaluations for thorough wine classification.
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Affiliation(s)
- Yi Yang
- Wine Science Programme, School of Chemical Sciences, The University of Auckland | Waipapa Taumata Rau, 23 Symonds Street, Auckland 1010, New Zealand.
| | - Zhijing Ye
- School of Viticulture and Wine Science, The Eastern Institute of Technology | Te Aho A Māui, 501 Gloucester Street, Napier 4112, New Zealand
| | - Leandro D Araujo
- Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University | Te Whare Wānaka o Aoraki, Lincoln 7647, New Zealand
| | - Tanya Rutan
- Bragato Research Institute, New Zealand Winegrowers Research Centre Ltd, Blenheim 7201, New Zealand
| | - Rebecca C Deed
- Wine Science Programme, School of Chemical Sciences, The University of Auckland | Waipapa Taumata Rau, 23 Symonds Street, Auckland 1010, New Zealand; School of Biological Sciences, The University of Auckland | Waipapa Taumata Rau, 3 Symonds Street, Auckland 1010, New Zealand
| | - Paul A Kilmartin
- Wine Science Programme, School of Chemical Sciences, The University of Auckland | Waipapa Taumata Rau, 23 Symonds Street, Auckland 1010, New Zealand.
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2
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Urdapilleta I, Blanchet-Urdapilleta H, Demarchi S. Cultural sips: Exploring sociodemographic and dominance factors in French wine appraisal. Food Res Int 2024; 187:114391. [PMID: 38763653 DOI: 10.1016/j.foodres.2024.114391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 04/03/2024] [Accepted: 04/20/2024] [Indexed: 05/21/2024]
Abstract
This study investigates the intricate relationship between sociodemographic factors, social dominance orientation (SDO), and perceptions of wine in France. Emphasizing the symbolic role of wine in French culture, and employing a survey-based approach, the research explores how societal hierarchies and individual positioning within these structures influence the appraisal of rosé wine. The findings revealed that sociodemographic factors, particularly education level, significantly influence wine appraisal, while social dominance orientation serves as a mediating factor. This research contributes to the understanding of the cultural and social dynamics shaping wine consumption in France, highlighting the fact that wine appraisal is deeply embedded in societal structures.
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Affiliation(s)
- Isabel Urdapilleta
- Department of Psychology, Artificial and Human Cognition Lab (CHArt - EA 4004), Paris 8 University -Saint-Denis, France.
| | | | - Samuel Demarchi
- Department of Psychology, Artificial and Human Cognition Lab (CHArt - EA 4004), Paris 8 University -Saint-Denis, France
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3
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López-Solís R, Cortés-Araya K, Medel-Marabolí M, Obreque-Slier E. Different physicochemical interactions between varietal wines and human saliva: Correspondence with astringency. Food Res Int 2024; 178:113964. [PMID: 38309881 DOI: 10.1016/j.foodres.2024.113964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 02/05/2024]
Abstract
Astringency corresponds to the sensation of dryness and roughness that is experienced in the oral cavity in association with the interaction between salivary proteins and food polyphenols. In this study, the phenolic composition of seven varietal wines, the intensity of astringency they evoke and the physicochemical reactivity of these wines with whole human saliva were evaluated. Phenolic composition of wines was characterized by spectrophotometry and HPLC chromatography. Intensity of astringency was evaluated by trained sensory panels. Saliva from a single volunteer subject was used to assess wine-saliva interactions. To this end, binary mixtures were produced at different v/v wine/saliva ratios and each of them assayed for the ability of the salivary protein to diffuse on a cellulose membrane (diffusion test) and to remain in solution (precipitation test). Physicochemical reactivities between wine components and the protein fraction of saliva were contrasted against the astringency and the phenolic profile of each varietal wine. The study supports the view that astringency depends on physicochemical interactions between two complex matrices -wine and saliva- and not between some of their particular components.
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Affiliation(s)
- Remigio López-Solís
- Program of Cellular and Molecular Biology, Faculty of Medicine-ICBM, University of Chile, Independencia 1027, Santiago, Chile
| | - Katherine Cortés-Araya
- Department of Agro-Industry and Enology, Faculty of Agronomical Sciences,University of Chile, P.O. Box 1004, Santiago, Chile
| | - Marcela Medel-Marabolí
- Department of Agro-Industry and Enology, Faculty of Agronomical Sciences,University of Chile, P.O. Box 1004, Santiago, Chile
| | - Elías Obreque-Slier
- Department of Agro-Industry and Enology, Faculty of Agronomical Sciences,University of Chile, P.O. Box 1004, Santiago, Chile.
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4
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Gomis-Bellmunt A, Claret A, Guerrero L, Pérez-Elortondo FJ. Sensory evaluation of Protected Designation of origin Wines: Development of olfactive descriptive profile and references. Food Res Int 2024; 176:113828. [PMID: 38163725 DOI: 10.1016/j.foodres.2023.113828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 11/24/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
Wines covered by PDO or PGI quality labels have specific sensory characteristics. According to EU regulations, product characteristics (including the sensory description) must be defined in the PDO technical specification and should be verified for their compliance. There exist internationally harmonized quantitative descriptive sensory methods applied to products such as virgin olive oil, with well-defined attributes described in the method itself. Currently, in the case of wine, there is no harmonized international sensory descriptive method that allows comparison of results between different PDOs or laboratories. In this work, a qualitative and quantitative olfactory profile for a broad variety of wines (11 PDO and 37 wine types) and their corresponding reference standards are proposed. The sensory profile obtained can be used both to verify compliance with the technical specifications of the product and to categorize wines by type or region, thus becoming a powerful tool for the wine sector.
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Affiliation(s)
- Anna Gomis-Bellmunt
- Catalan Institute of Vine and Wine (INCAVI). Plaça Àgora, 2, 08720 Vilafranca del Penedès, Barcelona, Spain; Laboratorio de Analisis Sensorial Euskal Herriko Unibertsitatea (LASEHU). Lactiker research group. Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Centro de investigacion Lascaray Ikergunea, Avenida Miguel de Unamuno 3, 01006 Vitoria-Gasteiz, Spain
| | - Anna Claret
- Food Quality and Technology, Intitute of Agrifood research and Technology (IRTA). Finca Camps i Armet, 17121 Monells, Girona, Spain
| | - Luis Guerrero
- Food Quality and Technology, Intitute of Agrifood research and Technology (IRTA). Finca Camps i Armet, 17121 Monells, Girona, Spain
| | - Francisco José Pérez-Elortondo
- Laboratorio de Analisis Sensorial Euskal Herriko Unibertsitatea (LASEHU). Lactiker research group. Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Centro de investigacion Lascaray Ikergunea, Avenida Miguel de Unamuno 3, 01006 Vitoria-Gasteiz, Spain.
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5
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Ren R, Shi J, Zeng M, Tang Z, Xie S, Zhang Z. Inter- and intra-varietal genetic variations co-shape the polyphenol profiles of Vitis vinifera L. grapes and wines. Food Chem X 2023; 20:101030. [PMID: 38144762 PMCID: PMC10740138 DOI: 10.1016/j.fochx.2023.101030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/22/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Inheritance and mutations are important factors affecting grape phenolic composition. To investigate the inter- and intra-varietal differences in polyphenolic compounds among grapes and wines, 27 clones belonging to eight varieties of Vitis vinifera L. were studied over two consecutive years. A total of 24 polyphenols (nine anthocyanins, three flavanols, five flavonols, and seven phenolic acids) were analyzed, and the physicochemical parameters of the grapes and wines were determined. Polyphenol profiles showed significant varietal and clonal polymorphisms, and malvidin-3-O-glucoside, peonidin-3-O- glucoside, and epicatechin were identified as key biomarkers distinguishing different grapes and wines when using an orthogonal partial least squares discriminant analysis. Further multivariate analysis classified these genotypes into three subclasses, and a somatic variant of 'Malbec', MBVCR6, had the most abundant polyphenolic compounds that were related to the titratable acid content. The current results reveal that varietal and clonal variations are important for obtaining wines with high polyphenol content.
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Affiliation(s)
- Ruihua Ren
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Jingjing Shi
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Maoyu Zeng
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Zizhu Tang
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Sha Xie
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Zhenwen Zhang
- College of Enology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
- China Wine Industry Technology Institute, Room 1606, Zhongguancun Innovation Center, Yinchuan, Ningxia 750021, China
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6
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Malfeito-Ferreira M. Fine wine recognition and appreciation: It is time to change the paradigm of wine tasting. Food Res Int 2023; 174:113668. [PMID: 37981366 DOI: 10.1016/j.foodres.2023.113668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/21/2023]
Abstract
Wine quality maybe understood under two perspectives: (a) commercial quality, intended to satisfy overall consumers, and (b) fine wine quality, aimed at achieving a product with aesthetic value. The current food sensory techniques (e.g. Descriptive Analysis) have been successfully applied to develop wines accepted worldwide and characterized by pleasant sweetish flavours and smooth mouthfeel. On the contrary, these techniques are not suited to characterize fine wines given their dependence on sensory properties with aesthetic value. The conventional tasting approaches follow the sequence of vision, smell (orthonasal), taste and mouthfeel, ending by an overall evaluation. The sensory descriptors tend to be analytic (e.g. different aromas and tastes) or synthetic (e.g. body, structure) and the quality judgement is left for the final step. Some synthetic attributes may have an aesthetic significance (e.g. complexity, harmony, depth) and are more valued when the analytic or synthetic descriptors are highly praised (e.g. oakiness, silkiness, body, minerality). Consequently, these highly praised attributes are regarded as surrogates of fine wine quality. However, commercial wines are frequently judged of higher quality than fine wines irrespective of the taster expertise. We argue that the conventional sensory analysis sequence makes the overall evaluation secondary in relation to the previous analytical steps blurring the assessment of wine's aesthetic properties. Probably due to top-down processing, the initial evaluation of colour or flavours governs the final overall quality evaluation that may be inconsistently rated. Then, to promote the recognition of fine wines, tasting should begin by first acknowledging the aesthetic properties and only proceed to the analytical steps if necessary. A tasting method is proposed to consumer educational programs where emotional responses are used to explain the differences between commercial and fine wine styles. Furthermore, cultural aspects should be included to appreciate the wholeness of wine. Hopefully, this holistic perspective would turn wine appreciation more approachable and facilitate the recognition of fine wines among consumers, increasing their appreciation and enjoyment.
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Affiliation(s)
- Manuel Malfeito-Ferreira
- Linking Landscape, Environment, Agriculture and Food (LEAF) Research Centre, Associated Laboratory TERRA, Instituto Superior de Agronomia, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal.
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7
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An J, Wilson DI, Deed RC, Kilmartin PA, Young BR, Yu W. The importance of outlier rejection and significant explanatory variable selection for pinot noir wine soft sensor development. Curr Res Food Sci 2023; 6:100514. [PMID: 37251636 PMCID: PMC10209686 DOI: 10.1016/j.crfs.2023.100514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/24/2023] [Accepted: 05/04/2023] [Indexed: 05/31/2023] Open
Abstract
Sensory attributes are essential factors in determining the quality of wines. However, it can be challenging for consumers, even experts, to differentiate and quantify wines' sensory attributes for quality control. Soft sensors based on rapid chemical analysis offer a potential solution to overcome this challenge. However, the current limitation in developing soft sensors for wines is the need for a significant number of input parameters, at least 12, necessitating costly and time-consuming analyses. While such a comprehensive approach provides high accuracy in sensory quality mapping, the expensive and time-consuming studies required do not lend themselves to the industry's routine quality control activities. In this work, Box plots, Tucker-1 plots, and Principal Component Analysis (PCA) score plots were used to deal with output data (sensory attributes) to improve the model quality. More importantly, this work has identified that the number of analyses required to fully quantify by regression models and qualify by classification models can be significantly reduced. Based on regression models, only four key chemical parameters (total flavanols, total tannins, A520nmHCl, and pH) were required to accurately predict 35 sensory attributes of a wine with R2 values above 0.6 simultaneously. In addition, for classification models to accurately predict 35 sensory attributes of a wine at once with prediction accuracy above 70%, only four key chemical parameters (A280nmHCl, A520nmHCl, chemical age and pH) were required. These models with reduced chemical parameters complement each other in sensory quality mapping and provide acceptable accuracy. The application of the soft sensor based on these reduced sets of key chemical parameters translated to a potential reduction in analytical cost and labour cost of 56% for the regression model and 83% for the classification model, respectively, making these models suitable for routine quality control use.
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Affiliation(s)
| | | | | | | | | | - Wei Yu
- The University of Auckland, New Zealand
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8
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Liu S, Vega AR, Dizy M. Assessing ultrapremium red wine quality using PLS-SEM. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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9
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Effect of Pre-Fermentative Bentonite Addition on Pinot Noir Wine Colour, Tannin, and Aroma Profile. FERMENTATION 2022. [DOI: 10.3390/fermentation8110639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Pinot noir is a grape variety with thin grape skin, which means the extraction of colour and polyphenols is more challenging than other red grape varieties. The aim of this study was to investigate the impact of protein removal by adding bentonite prior to fermentation on Pinot noir wine composition. Four treatments were conducted, including the control without bentonite addition and Pinot noir wines produced with the addition of three different types of bentonites before cold soaking. The juice and wine samples were analysed for pathogenesis-related proteins, tannin, wine colour parameters, and aroma composition. The results showed that bentonite addition at 0.5 g/L had little impact on tannin and aroma compounds but more impact on wine colour, especially significantly higher level of SO2 resistant pigments observed in Na bentonite addition treatment. This study indicates the potential use of bentonite to modulate the Pinot noir juice composition that may facilitate the extraction of colour components from grape into juice, which plays an important role in colour stabilization in finished wine.
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10
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Vaquero C, Escott C, Heras JM, Carrau F, Morata A. Co-inoculations of Lachancea thermotolerans with different Hanseniaspora spp.: Acidification, aroma, biocompatibility, and effects of nutrients in wine. Food Res Int 2022; 161:111891. [DOI: 10.1016/j.foodres.2022.111891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/26/2022] [Indexed: 11/28/2022]
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11
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Bhardwaj P, Tiwari P, Olejar K, Parr W, Kulasiri D. A machine learning application in wine quality prediction. MACHINE LEARNING WITH APPLICATIONS 2022. [DOI: 10.1016/j.mlwa.2022.100261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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12
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Araujo LD, Parr WV, Grose C, Hedderley D, Masters O, Kilmartin PA, Valentin D. In-mouth attributes driving perceived quality of Pinot noir wines: Sensory and chemical characterisation. Food Res Int 2021; 149:110665. [PMID: 34600667 DOI: 10.1016/j.foodres.2021.110665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 07/20/2021] [Accepted: 08/23/2021] [Indexed: 11/18/2022]
Abstract
We investigated perception of mouthfeel in Pinot noir wines and its physicochemical determinants. Seventeen wine professionals judged 18 Pinot noir wines via two tasting tasks, Descriptive Rating and Directed Sorting, the latter based on perception of in-mouth attributes. Selected chemical measures of the same 18 wines were determined. Sensory results demonstrated that mouthfeel attributes driving high quality were smoothness/silky/velvety, volume/fullness/roundness, overall body, and viscosity/mouth-coating, while the taste of bitterness and perceived tannin harshness drove low quality judgments. Perceived astringency and expressions of tannin (e.g., soft; harsh; fine) drove sorting behaviour of participants. Partial least squares regression (PLSR) was used to associate perceived in-mouth phenomena and chemical composition. The phenolic profile, in particular tannin concentration and structure, was the most important predictor of astringency and its sub-components. These results have important implications for wine producers aiming to enhance perceived quality in their Pinot noir wines.
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Affiliation(s)
| | - Wendy V Parr
- AGLS Faculty, Lincoln University, Christchurch, New Zealand.
| | - Claire Grose
- Institute of Plant and Food Research, Marlborough, New Zealand
| | - Duncan Hedderley
- Institute of Plant and Food Research, Palmerston North, New Zealand
| | - Oliver Masters
- Tripwire Wine Consulting Ltd. & Misha's Vineyard, Central Otago, New Zealand
| | - Paul A Kilmartin
- School of Chemical Sciences, The University of Auckland, New Zealand
| | - Dominique Valentin
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, F-21000 Dijon, France
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13
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Malfeito-Ferreira M. Fine wine flavour perception and appreciation: Blending neuronal processes, tasting methods and expertise. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.06.053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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14
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Chen L, Darriet P. Strategies for the identification and sensory evaluation of volatile constituents in wine. Compr Rev Food Sci Food Saf 2021; 20:4549-4583. [PMID: 34370385 DOI: 10.1111/1541-4337.12810] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 06/18/2021] [Accepted: 06/20/2021] [Indexed: 11/27/2022]
Abstract
Wine aroma, which stems from complex perceptual and cognitive processes, is initially driven by a multitude of naturally occurring volatile constituents. Its interpretation depends on the characterization of relevant volatile constituents. With large numbers of volatile constituents already identified, the search for unknown volatiles in wine has become increasingly challenging. However, the opportunities to discover unknown volatile compounds contributing to the wine volatilome are still of great interest, as demonstrated by the recent identification of highly odorous trace (µg/L) to ultra-trace (ng/L) volatile compounds in wine. This review provides an overview of both existing strategies and future directions on identifying unknown volatile constituents in wine. Chemical identification, including sample extraction, fractionation, gas chromatography, olfactometry, and mass spectrometry, is comprehensively covered. In addition, this review also focuses on aspects related to sensory-guided wine selection, authentic reference standards, artifacts and interferences, and the evaluation of the sensory significance of discovered wine volatiles. Powerful key volatile odorants present at ultra-trace levels, for which these analytical approaches have been successfully applied, are discussed. Research areas where novel wine volatiles are likely to be identified are pointed out. The importance of perceptual interaction phenomena is emphasized. Finally, future avenues for the exploration of yet unknown wine volatiles by coupling analytical approaches and sensory evaluation are suggested.
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Affiliation(s)
- Liang Chen
- Université de Bordeaux, Unité de Recherche Œnologie, EA 4577, USC 1366 INRAE, Institut des Sciences de la Vigne et du Vin, 210 Chemin de Leysotte, 33882 Villenave d'Ornon Cedex, France
| | - Philippe Darriet
- Université de Bordeaux, Unité de Recherche Œnologie, EA 4577, USC 1366 INRAE, Institut des Sciences de la Vigne et du Vin, 210 Chemin de Leysotte, 33882 Villenave d'Ornon Cedex, France
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15
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Limited relationship between temporality of sensory perception and phenolic composition of red wines. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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16
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Carpena M, Pereira AG, Prieto MA, Simal-Gandara J. Wine Aging Technology: Fundamental Role of Wood Barrels. Foods 2020; 9:E1160. [PMID: 32842468 PMCID: PMC7555037 DOI: 10.3390/foods9091160] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 08/14/2020] [Accepted: 08/19/2020] [Indexed: 11/28/2022] Open
Abstract
The aging of wines is a process used to preserve wine but also to enhance its properties. It is a process of great interest, mainly because of the additional properties it adds to wines and because of its economic implications. Historically, barrels have been employed for centuries for preserving and aging wine due to their resistance and relative impermeability. In general terms, the wine aging process can be divided into two phases: oxidative and reductive aging. Oxidative aging traditionally takes place in barrels while reductive phase occurs in the bottle. During both processes, oxygen plays a fundamental role as well as other factors, for instance: temperature, light, bottle position, microbial growth or storage time. Likewise, during the aging process, a series of chemical reactions take place influencing the composition and organoleptic profile of wine. At this point, oxidative aging in barrels is a fundamental step. Barrels are directly involved in the produced changes on wine's composition due to the transference of oxygen and phenolic and aromatic compounds from wood to wine. This way, barrels act as an active vessel capable of releasing compounds that affect and improve wine's characteristics. Regarding, the importance of barrels during aging process, some attention must be given to the species most used in cooperage. These species are conventionally oak species, either French or American. However, other non-conventional species are currently being studied as possible wood sources for the production of wines, such as chestnut robinia or other oak species. In the last decades, new approaches have been developed for barrel aging to find new alternatives more suitable, affordable and feasible to sanitize the process, such as other materials different from wood or the use of wood chips, which is regulated since 2006 by the EU. However, even though some of them have shown promising data, barrels are currently the most used technology for the oxidative stage of table wines aging.
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Affiliation(s)
- Maria Carpena
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, University of Vigo, Ourense Campus, E-32004 Ourense, Spain; (M.C.); (A.G.P.)
| | - Antia G. Pereira
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, University of Vigo, Ourense Campus, E-32004 Ourense, Spain; (M.C.); (A.G.P.)
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolonia, 5300-253 Bragança, Portugal
| | - Miguel A. Prieto
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, University of Vigo, Ourense Campus, E-32004 Ourense, Spain; (M.C.); (A.G.P.)
| | - Jesus Simal-Gandara
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department, Faculty of Food Science and Technology, University of Vigo, Ourense Campus, E-32004 Ourense, Spain; (M.C.); (A.G.P.)
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