Macrowine 2021
IVES 9 IVES Conference Series 9 Effect of non-wine Saccharomyces yeasts and bottle ageing on the release and generation of aromas in semi-synthetic Tempranillo wines

Effect of non-wine Saccharomyces yeasts and bottle ageing on the release and generation of aromas in semi-synthetic Tempranillo wines

Abstract

AIM: Explore the variability and contribution of non-wine Saccharomyces yeasts and bottle aging on the release and generation of aromas of semi-synthetic Tempranillo wines, together with an in-depth study of the capacity of these strains to provide good fermentative and oenological qualities.

METHODS: 6 Saccharomyces yeasts strains of different species and origins performed fermentations in semi-synthetic must containing polyphenolic and aroma precursor Tempranillo extract. The resulting wines were subjected to accelerated anoxic aging simulating bottle aging. The aroma compounds released during fermentation and those contained in young and aged wines and must were liquid-liquid extracted and analysed by Gas Chromatography-Olfactometry (GC-O), GC-FID (flame ionization detector) and GC-Mass Spectrometry.

RESULTS: Among the compounds volatilised during fermentation, one of varietal origin was tentatively detected, 4-methyl-4-mercaptopenta-2-one (4MMP). The natural yeasts likely to introduce positive aroma notes to young and aged Tempranillo wines were E1 (S. eubayanus), C3, C2 (S. cerevisiae), K3 (S. kudriavzevii) and U1 (S. uvarum) by the highest production of ethyl esters, lactones, β-ionone and terpenes related to floral and fruity aroma. After aging, β-damascenone, riesling acetal, vitispirane A/B, linanool oxide and massoia lactone were found, nerol was no longer detected and β-linalool was not affected. In addition, there was a modulating effect by the yeasts, increasing or decreasing certain compounds favoured by aging. Regarding this effect, C2 strain excelled due to the large increase in ethyl leucate compared to its young wine and the rest of the aged wines.

CONCLUSIONS: Most compounds were highly increased by aging while yeasts at species and strain level were able to modulate the varietal and fermentative aroma profile differentially in both young and aged semi-synthetic Tempranillo wines.

DOI:

Publication date: September 27, 2021

Issue: Macrowine 2021

Type: Article

Authors

Dolores Pèrez, Marie DENAT, José María HERAS, José Manuel GUILLAMÓN, Vicente FERREIRA, Amparo QUEROL

Lallemand Bio S.L., Barcelona, Spain Centro de Estudios de Enología, Estación Experimental Agropecuaria Mendoza, Instituto Nacional de Tecnología Agropecuaria (INTA) 5507, Mendoza, Argentina
Laboratory for Aroma Analysis and Enology (LAAE), Universidad de Zaragoza, Spain
Lallemand Bio S.L., Barcelona, Spain
Departamento de Biotecnología, Instituto de Agroquímica y Tecnología de los Alimentos (IATA), CSIC, Valencia, Spain
Laboratory for Aroma Analysis and Enology (LAAE), Universidad de Zaragoza, Zaragoza, Spain
Departamento de Biotecnología, Instituto de Agroquímica y Tecnología de los Alimentos (IATA), CSIC, Valencia, Spain

Contact the author

Keywords

non-wine saccharomyces yeasts; fruity ethyl esters, acetates esters, varietal aroma, tempranillo, bottle-aging

Citation

Related articles…

Different soil types and relief influence the quality of Merlot grapes in a relatively small area in the Vipava Valley (Slovenia) in relation to the vine water status

Besides location and microclimatic conditions, soil plays an important role in the quality of grapes and wine. Soil properties influence…

A predictive model of spatial Eca variability in the vineyard to support the monitoring of plant status

[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"...

VINIoT: Precision viticulture service for SMEs based on IoT sensors network

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

Climate, Viticulture, and Wine … my how things have changed!

The planet is warmer than at any time in our recorded past and increasing greenhouse emissions and persistence in the climate system means that continued warming is highly likely. Climate change has already altered the basic framework of growing grapes for wine production worldwide and will likely continue to do so for years to come. The wine sector can continue to play an important role in leading the agricultural sector in addressing climate change. From developing on…

Understanding graft union formation by using metabolomic and transcriptomic approaches during the first days after grafting in grapevine

Since the arrival of Phyloxera (Daktulosphaira vitifolia) in Europe at the end of the 19th century, grafting has become essential to cultivate Vitis vinifera. Today, grafting provides not only resistance to this aphid, but it used to adapt the cultivars according to the type of soil, environment, or grape production requirements by using a panel of rootstocks. As part of vineyard decline, it is often mentioned the importance of producing quality grafted grapevine to improve vineyard longevity, but, to our knowledge, no study has been able to demonstrate that grafting has a role in this context. However, some scion/rootstock combinations are considered as incompatible due to poor graft union formation and subsequently high plant mortality soon after grafting. In a context of climate change where the creation of new cultivars and rootstocks is at the centre of research, the ability of new cultivars to be grafted is therefore essential. The early identification of graft incompatibility could allow the selection of non-viable plants before planting and would have a beneficial impact on research and development in the nursery sector. For this reason, our studies have focused on the identification of metabolic and transcriptomic markers of poor grafting success during the first days/week after grafting; we have identified some correlations between some specialized metabolites, especially stilbenes, and grafting success, as well as an accumulation of some amino acids in the incompatible combination. The study of the metabolome and the transcriptome allowed us to understand and characterise the processes involved during graft union formation.