Macrowine 2021
IVES 9 IVES Conference Series 9 Chemical and sensory diversity of regional Cabernet-Sauvignon wines

Chemical and sensory diversity of regional Cabernet-Sauvignon wines

Abstract

AIM: To investigate chemical and sensory drivers of regional typicity of Cabernet Sauvignon from different geographical regions of Australia.

METHODS: Commercial Cabernet wines (n = 52) from Coonawarra, Margaret River, and Yarra Valley Geographical Indications of Australia, and from Bordeaux, France, were selected for extensive chemical and sensory analysis.1 A range of analytical methods were optimised to quantify a comprehensive array of volatile compounds (> 70) originating from different sources, including grape, fermentation, oak maturation, and ageing. Along with basic chemical data, measurement of non-volatile compounds such as tannins and other secondary metabolites and elements was also undertaken. Multivariate statistical analysis using partial least squares regression was applied to the combined chemical data and the sensory analysis ratings obtained through a trained descriptive analysis panel of the same wines, to determine important compounds driving relevant sensory attributes.

RESULTS: The compound 1,4-cineole, described as ‘mint’ and ‘bay leaf’, was partly responsible for separation of the Cabernet Sauvignon wines from the Australian regions, particularly from Margaret River, whereas compounds such as 4-ethylphenol and 4-ethylguaiacol were linked to the aromas of ‘earthy’ and ‘yeasty’, which drove some of the separation of Bordeaux wines from the others. Varietal thiol, 3-mercapto-1-hexanol, which is mainly associated with Sauvignon Blanc and other white wine varieties, was measured in concentrations above its aroma detection threshold in all of the wines analysed, with similar concentrations present in Bordeaux and Coonawarra wines, and significantly higher concentrations in Margaret River and Yarra Valley wines. Additionally, non-volatiles such as particular elements drove some the separation between the regions; for example strontium was present in highest concentration in the Coonawarra wines and was found at lowest concentration in the Bordeaux wines. Free anthocyanins were also found to differ between Coonawarra and Bordeaux regions, with higher concentration being measured in the latter.

CONCLUSION

In determining the influential drivers of sensory properties of regional Cabernet Sauvignon wines, this study has uncovered various volatile and non-volatile constituents that are associated with specific sensory attributes. This is an important step in being able to define and subsequently help preserve the distinctive characters associated with regional Cabernet Sauvignon wines.

 

DOI:

Publication date: September 7, 2021

Issue: Macrowine 2021

Type: Article

Authors

Dimitra L. Capone 

Australian Research Council Training Centre for Innovative Wine Production, The University of Adelaide,Paul BOSS, CSIRO, and Australian Research Council Training Centre for Innovative Wine Production  Lira SOUZA GONZAGA, Australian Research Council Training Centre for Innovative Wine Production, and The University of Adelaide  Susan E. P. BASTIAN, Australian Research Council Training Centre for Innovative Wine Production, and The University of Adelaide Ruchira RANAWEERA, Department of Wine Science, The University of Adelaide David W. JEFFERY, Australian Research Council Training Centre for Innovative Wine Production, and The University of Adelaide

Contact the author

Keywords

volatile compound, non-volatile compound, sensory analysis, partial least squares regression, regionality, terroir

Citation

Related articles…

Monitoring grapevine downy mildew epidemics with SkySat and PlanetScope imagery

Grapevine downy mildew (GDM), caused by the oomycete Plasmopara viticola, is one of the most destructive diseases of Vitis vinifera worldwide. All V. vinifera cultivars are susceptible to P. viticola infection, and epidemics can spread across an entire vineyard within a matter of weeks. Severe outbreaks cause substantial reductions in yield and fruit quality. Tracking GDM spread by manual scouting is time-consuming and unfeasible over large spatial extents.

Atypical aging and hydric stress: insights on an exceptionally dry year

Atypical aging (ATA) is a white wine fault characterized by the appearance of notes of wet rag, acacia blossoms and naphthalene, along with the vanishing of varietal aromas. 2-aminoacetophenone (AAP) – a degradation compound of indole-3-acetic acid (IAA) – is regarded as the main sensorial and chemical marker responsible for this defect. About the origin of ATA, a stress reaction occurring in the vineyard has been looked as the leading cause of this defect. Agronomic, climatic and pedological factors are the main triggers and among them, drought stress seems to play a crucial role.[1]

Attractiveness and sweetness of red wines: Synergies between American oak barrels and mannoproteins

In partnership with a Bordeaux property wanting to improve the quality of its second wine, the effects of two factors, American oak barrels and mannoproteins were studied. Their impact on the attractiveness and sweetness of wines were characterized during two successive vintages (2012 and 2013). Vinification took place with a homogeneous batch of Cabernet Sauvignon. The wine was then divided up into various groups of five barrels of French and American oak, new or reused. Analyses of volatile and non-volatile wood compounds were undertaken at four months and eight months of wood ageing, by LC-MS and GC-MS.

Different strategies for the rapid detection of Haze‐Forming Proteins (HFPs)

Over the last decades, wine analysis has become an important analytical field, with emphasis placed on the development of new methodologies for characterization and elaboration control.

Prediction of the production kinetics of the main fermentative aromas in alcoholic fermentation

Fermentative aromas (especially esters and higher alcohols) highly impact the organoleptic profile of young and white wines. The production of these volatile compounds depends mainly on temperature and Yeast Available Nitrogen (YAN) content in the must. Available dynamic models predict the main reaction
(bioconversion of sugar into ethanol and CO2 production) but none of them considers the production kinetics of fermentative aroma compounds during the process of fermentation. We determined the production kinetics of the main esters and higher alcohols for different values of initial YAN content and temperature, using an innovative online monitoring Gas Chromatography device.