IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 The aroma diversity of Italian white wines: a further piece added to the D-Wines project

The aroma diversity of Italian white wines: a further piece added to the D-Wines project

Abstract

The wide ampelographic heritage of the Italian wine grape varieties represents a richness in terms of biodiversity and potential market value. According to the wine sector informative news, a rise in diversity will come into play due to the supply challenges of 2021 so that the industry will continue to push for a more diverse range of wines. “Wine drinkers, who are naturally curious, will embrace the opportunity to branch out”, due to a trend to a “palate
expansion and consumer curiosity” foreseen in 2022 (1). The report “White Wine Market” signed by the analysis company “Fact Market Research”, forecasts the boom in the growth of white wine consumption on the global market (2).Then, all actions aimed at valorizing and
improvi

The wide ampelographic heritage of the Italian wine grape varieties represents a richness in terms of biodiversity and potential market value. According to the wine sector informative news, a rise in diversity will come into play due to the supply challenges of 2021 so that the industry will continue to push for a more diverse range of wines. “Wine drinkers, who are naturally curious, will embrace the opportunity to branch out”, due to a trend to a “palate
expansion and consumer curiosity” foreseen in 2022 (1). The report “White Wine Market” signed by the analysis company “Fact Market Research”, forecasts the boom in the growth of white wine consumption on the global market (2).Then, all actions aimed at valorizing and
improving knowledge on products from the wide diversity of Italian native varieties can be impactful for the wine sector. The Diversity of Italian Wines (D-Wines) project aims to get a wide chemical, biochemical, and sensory multi-parametric dataset on Italian wines (3,4,5). In this context, the aroma of 18 mono-varietal white wines (Albana, Arneis, Cortese, Erbaluce, Garganega, Gewürztraminer, Greco di Tufo, Falanghina, Fiano, Lugana, Müller Thurgau, Nosiola, Pallagrello Bianco, Pinot Grigio, Ribolla Gialla, Verdicchio, Vermentino, Vernaccia di S. Gimignano) was investigated. A total of 240 labels (vintage 2019) was analyzed through a descriptive sensory assessment (orthonasal, retronasal, taste, mouthfeel) performed by 12 trained wine experts, and a sorting task carried out by 12 enologists (orthonasal, retronasal) based on a pre-defined list of aroma descriptors. Both intra- and inter-varietal sensory differences were highlighted by ANOVA (p<0.05) and Hierarchical Clustering Heatmap Analysis (HCHA) performed on odor intensities of descriptive analysis. 100% of Gewürztraminer wines were grouped together in a sub-cluster correlated to floral (rose, orange blossom), mango and vanilla odors, 62% of Müller Thurgau were closely clustered and correlated to thiolic (cat pee/box tree), fruity (passion fruit, grapefruit) and vegetal descriptors. The dendrogram mostly sorted the 240 wines into inter-varietal clusters. 

Multidimensional Scaling (MDS) and Agglomerative Hierarchical Clustering (AHC) of sorting data, provided intra-variety sensory maps showing how enologists grouped wines according to aroma similarities. A list of descriptors related to global sensory characteristics of samples within each group, was obtained. Both descriptive and sorting results, showed significant correlations with VOCs compositions.

This study provides a first comparative picture of the diverse sensory characteristics of white Italian wines, including some that have never been investigated before. The D-Wines project results will provide valuable information to winemakers, helping the improvement of the sensory consistency, quality, marketing communication and attractiveness of Italian wines

References

(1) https://www.decanter.com/features/top-wine-trends-for-2022
(2) https://winenews.it/en/the-boom-of-white-wine-in-the-world-as-seen-by-the-top-territories-of-italy_450979/
(3) Arapitsas et al. 2020, 68(47), 13353–13366; doi: 10.1021/acs.jafc.0c00879
(4) Giacosa et al. 2021, 143, 110277;  doi: 10.1016/j.foodres.2021.110277
(5) Piombino et al. 2020, 26(3), 233-246; doi : 10.1111/ajgw.1243

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Piombino Paola1, Pittari Elisabetta1, Lisanti Maria Tiziana1, Parpinello Giuseppina Paola2, Ricci Arianna2, Carlin Silvia3, Curioni Andrea4, Luzzini Giovanni5, Marangon Matteo4, Mattivi Fulvio3, Rio Segade Susana6, Rolle Luca6, Ugliano Maurizio5 and Moio Luigi1

1 Department of Agricultural Sciences (DiA), University of Naples Federico II, Italy

2 Department of Agricultural and Food Sciences, University of Bologna, Italy

3 Research and Innovation Centre, Fondazione Edmund Mach (FEM), Italy

4 Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Italy

5 Department of Biotechnology, University of Verona, Italy

6 Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Italy

Contact the author

Keywords

White wines, Italian varieties, diversity, sensory analysis, olfactory profiles

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Long-lasting flavour perception of wines treated with oenological additives considering the individual PROP taste-phenotype

The use of oenological additives is becoming a common practice due to the technological and sensory properties they provide to the wines. However, the number of studies focused on the impact that these additives might induce on wine flavor perception during wine tasting is still quite scarce. The aim of this work was to evaluate the effect of three different types of common oenological additives: two oenotannins (ellagitannin and gallotannin) and a commercial preparation of yeast mannoproteins on the long-lasting flavor perception (aroma and astringency).

USING CHECK-ALL-THAT-APPLY (CATA) TO CATEGORIZE WINES: A DECISION-MAKING TOOL FOR WINE SELECTION

Bordeaux is the largest appellation vineyard in France. This contrasting vineyard with varied terroirs offers all styles of wine, resulting from the blending of several grape varieties. If these different profiles make the renown of Bordeaux wines, it can appear as a constraint when the aim is to study Bordeaux wines in their diversity. The selection of a representative sample can be performed by a sensory analysis carried out by trained panelists or by wine professionals, which can take several forms: consensus among experts, conventional descriptive analysis, typicality or quality evaluation. However, because of time, economic, and logistical constraints, these methods have limited applications. As an alternative to classical descriptive analysis, more intuitive methods that do not require training have been proposed recently to describe wines using an expert panel such as Napping, Free Choice or Flash Profiling, CATA or RATA.

Impact of glutathione-rich inactivated yeast on wine chemical diversity

Glutathione-rich inactivated dry yeasts (GSH-IDY) are claimed to accumulate intracellularly and then release glutathione in the must.

Nivel de infección y saneamiento del virus del entrenudo corto (GFLV) en el cv. de vid Pedro Ximenez en la denominación de origen Montilla-Moriles (DOMM)

Mediante análisis por test ELISA de hojas de vides (Vitis vinifera L.) del cv. Pedro Ximénez, procedentes de 28 parcelas experimentales distribuidas por la DOMM

Terroir, sol et sous-sol : principes de modélisation spatiale de quelques paramètres physiques caractérisant le substrat altéré dans les régions viticoles établies sur socle ancien

For several years, the development of computer resources, and in particular of Geographic Information Systems, have allowed the emergence of a new approach to the analysis and characterization of wine-growing areas (Morlat, 1989; Laville, 1990). These methods, which make it possible to identify homogeneous areas or units of terroir, are based on crossing, statistical analysis (in particular Principal Component Analysis: PCA) and the integration of parameters describing the natural environment in which develop the vine.