Macrowine 2021
IVES 9 IVES Conference Series 9 The use of unripe frozen musts for modulating wine characteristics throughout acidity correction – effects on volatile and amino acid composition

The use of unripe frozen musts for modulating wine characteristics throughout acidity correction – effects on volatile and amino acid composition

Abstract

As environmental issues come more to the fore, vineyards residues are being looked at as solutions rather than problems. Aiming to develop a sustainable methodology for musts acidity correction in the process of winemaking, much needed in warm regions, the present study was performed according to Circular Economy values. Four red wines from Aragonez grapes and six white wines from Antão Vaz grapes were produced using two different strategies for musts acidity correction: i) the addition of a mixture of organic acids (Mix) commonly used in winemaking; ii) the addition of previously produced unripe grape musts (UM) from the same grape varieties. Also, a testimonial (T) sample was produced in both wine varieties with no acidity correction. Oenological parameters, amino acid (AA) content and volatile composition of all wines produced were determined and evaluated.

The AAs composition was quantified by HPLC-DAD, after a derivatization step to obtain the aminoenone derivatives [1,2]. The volatile organic compounds (VOCs) were determined by GC/MS, after an HS-SPME extraction [3]. One-way analysis of variance with Fisher’s least significant difference (LSD) test at p<0.05 and Principal Component Analysis (PCA) were performed with SPSS24.0.

The Aragonez wines showed significant differences between the wines with acidity correction by the unripe musts addition (UM-A and UM-B), showing the higher amounts of AAs (640.08 mg/L and 630.33 mg/L, respectively), and the wines from Mix and T, with lowest amounts of AAs (546.24 mg/L and 562.51 mg/L, respectively). Also, for the volatile compounds significant differences were found for the UM-B wine, with the highest amount of VOCs, and T wine, with the lowest amount of VOCs. As for the Antão Vaz wines, significant differences were obtained between all wines, regarding AA content, with T wine showing the higher amounts of AA (4395.13 mg/L), and Mix wine the lowest content. (2948.41 mg/L). On the volatile results no significant differences were obtained among them.

Principal component analysis (PCA) obtained with combined data of AAs and volatile compounds, after normalization, for all wine samples, shows the separation obtained for the Aragonez red wines and Antão Vaz white wines according to the type of acidification under study… Results obtained indicate that the use of unripe grape musts can be a strategy to increase musts acidity, without a negative impact on wine characteristics.

DOI:

Publication date: September 10, 2021

Issue: Macrowine 2021

Type: Article

Authors

Catarina Pereira

MED – Mediterranean Institute for Agriculture, Environment and Development. Instituto de Investigação e Formação Avançada, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal.,Davide, MENDES – LAQV-REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal. Nuno, MARTINS – MED – Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra. Ap. 94, 7006-554 Évora, Portugal. Raquel, GARCIA – MED – Mediterranean Institute for Agriculture, Environment and Development, Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Pólo da Mitra. Ap. 94, 7006-554 Évora, Portugal. Marco, GOMES DA SILVA, LAQV-REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal. Maria João, CABRITA – MED – Mediterranean Institute for Agriculture, Environment and Development, Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Pólo da Mitra. Ap. 94, 7006-554 Évora, Portugal.

Contact the author

Keywords

acidity correction; unripe grape musts; circular economy; aragonez grapes; antão vaz grapes; amino acids; volatile compounds

Citation

Related articles…

Impact of climate change on the viticultural climate of the Protected Designation of Origin “Jumilla” (SE Spain)

Protected Designation of Origin “Jumilla” (PDO Jumilla) is located in the Spanish provinces of Albacete and Murcia, in the South-eastern part of the Iberian Peninsula, where most of the models predict a severe impact of climate change in next decades. PDO Jumilla covers an area of 247,054 hectares, of which more than 22,000 hectares

Short-term relationships between climate and grapevine trunk diseases in southern French vineyards

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.19.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...

Comparison of imputation methods in long and varied phenological series. Application to the Conegliano dataset, including observations from 1964 over 400 grape varieties

A large varietal collection including over 1700 varieties was maintained in Conegliano, ITA, since the 1950s. Phenological data on a subset of 400 grape varieties including wine grapes, table grapes, and raisins were acquired at bud break, flowering, veraison, and ripening since 1964. Despite the efforts in maintaining and acquiring data over such an extensive collection, the data set has varying degrees of missing cases depending on the variety and the year. This is ubiquitous in phenology datasets with significant size and length. In this work, we evaluated four state-of-the-art methods to estimate missing values in this phenological series: k-Nearest Neighbour (kNN), Multivariate Imputation by Chained Equations (mice), MissForest, and Bidirectional Recurrent Imputation for Time Series (BRITS). For each phenological stage, we evaluated the performance of the methods in two ways. 1) On the full dataset, we randomly hold-out 10% of the true values for use as a test set and repeated the process 1000 times (Monte Carlo cross-validation). 2) On a reduced and almost complete subset of varieties, we varied the percentage of missing values from 10% to 70% by random deletion. In all cases, we evaluated the performance on the original values using normalized root mean squared error. For the full dataset we also obtained performance statistics by variety and by year. MissForest provided average errors of 17% (3 days) at budbreak, 14% (4 days) at flowering, 14.5% (7 days) at veraison, and 17% (3 days) at maturity. We completed the imputations of the Conegliano dataset, one of the world’s most extensive and varied phenological time series and a steppingstone for future climate change studies in grapes. The dataset is now ready for further analysis, and a rigorous evaluation of imputation errors is included.

Mesoclimate impact on Tannat in the Atlantic terroir of Uruguay

The study of climate is relevant as an element conditioning the typicity of a product, its quality and sustainability over the years. The grapevine development and growth and the final grape and wine composition are closely related to temperature, while climate components vary at mesoscale according to topography and/or proximity to large bodies of water. The objective of this work is to assess the mesoclimate of the Atlantic region of Uruguay and to determine the effect of topography and the ocean on temperature and consequently on Tannat grapevine behavior.

Simulating climate change impact on viticultural systems in historical and emergent vineyards

Global climate change affects regional climates and hold implications for wine growing regions worldwide. Although winegrowers are constantly adapting to internal and external factors, it seems relevant to develop tools, which will allow them to better define actual and future agro-climatic potentials. Within this context, we develop a modelling approach, able to simulate the impact of environmental conditions and constraints on vine behaviour and to highlight potential adaptation strategies according to different climate change scenarios. Our modeling approach, named SEVE (Simulating Environmental impacts on Viticultural Ecosystems), provides a generic modeling framework for simulating grapevine growth and berry ripening under different conditions and constraints (slope, aspect, soil type, climate variability…) as well as production strategies and adaptation rules according to climate change scenarios. Each activity is represented by an autonomous agent able to react and adapt its reaction to the variability of environmental constraints. Using this model, we have recently analyzed the evolution of vineyards’ exposure to climatic risks (frost, pathogen risk, heat wave) and the adaptation strategies potentially implemented by the winegrowers. This approach, implemented for two climate change scenarios, has been initiated in France on traditional (Loire Valley) and emerging (Brittany) vineyards. The objective is to identify the time horizons of adaptations and new opportunities in these two regions. Carried out in collaboration with wine growers, this approach aims to better understand the variability of climate change impacts at local scale in the medium and long term.