IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Chemical and sensory characterization of Xinomavro PDO red wine

Chemical and sensory characterization of Xinomavro PDO red wine

Abstract

Aroma is considered one of the most important factors in determining the quality and character of wine. The relationship between wine character and its volatile composition is recognized by several researchers worldwide. Since these compounds influence the sensory perceptions of consumers, both volatile composition and sensory properties are essential in determining wine aroma characteristics.

In this study, the volatile composition with its corresponding aroma descriptors was used to identify the main aroma compounds of the variety Xinomavro. Xinomavro (Vitis Vinifera L.) is one of the noble red grape varieties of Northern Greece and is present in many PDO red wines. In the experimental winery of our laboratory, a total of 6 different red wines were produced according to the same vinification protocol.

Aroma compounds of wine samples were extracted by Liquid-Liquid extraction, concentrated with SAFE method and analysed by Gas Chromatography-Mass Spectrometry (GC-MS) /Olfactometry to identify the key odorants of the variety. Olfactory analysis identified 30 aroma-active compounds, of which, ethyl hexanoate had the highest modified detection frequency (MF%).

25 of the key-volatile compounds were quantified using GC-MS, SIM mode, followed by the determination of Odor Activity Values (OAVs). A trained panel evaluated the wines using sensory descriptive analysis, based on a total of 11 aroma attributes. According to the data obtained, a complex aroma profile rich in alcohols, ethyl esters, acetate esters and fatty acids, with a contribution of terpenes and volatile phenols was recorded. Ethyl octanoate, ethyl hexanoate, isoamyl acetate, β-damascenone and eugenol were the aroma compounds with OAVs > 10. All these compounds are associated with fruity and  spicy aromas. Following this pattern, the aroma of the six wines was mainly characterized by three typical sensory terms, red fruits, which include berry fruits, strawberry and cherry, spices, which include pepper and clover and tomato paste.

This study provides a useful approach on the chemo-sensory fingerprint of Xinomavro PDO wines. It may be further used to determine the aroma “key” compounds responsible for Xinomavro aroma characters, as they derived from the sensory evaluation. This final result will be a great tool to improve the Xinomavro wines using winemaking methods to enhance the distinctive aromatic profile of this specific variety.

DOI:

Publication date: June 27, 2022

Issue: IVAS 2022

Type: Poster

Authors

Goulioti Elli1, Kanapitsas Alexandros1, Lola Despina1, Bauer Andrea2, Jeffery David3 and Kotseridis Yorgos1

1Laboratory of Enology and Alcoholic Drinks, Agricultural University of Athens
2Faculty Life Science, Department of Food Science and Nutrition, Hamburg University of Applied Sciences
3Department of Wine Science, University of Adelaide

Contact the author

Keywords

aroma, GC-MS, OAV, sensory analysis, Xinomavro

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

AGING PATTERNS OF VARIETAL VOLATILE PROFILES OF WHITE WINES: A CASE STUDY ON 18 ITALIAN VARIETAL WHITE WINES

During wine aging many compositional changes take place. In particular, aroma undergoes dramatic modifications through a wide range of reactions that to date are only partly understood. Italy owns one of the largest ampelographic heritages worldwide, with over three-hundred different varieties. Among these, many white grapes are employed for the production of dry still white wines. Some of these wines are consumed young while others are more prone to aging. For many of these wines, the aging patterns related to volatile composition are still unknown.

Release and perception of γ-nonalactone and massoia lactone in the red wine matrix: impact of ethanol and acidity

Climate change (CC) is altering grape/wine composition, challenging wine sensory quality. Rising temperatures increase grape sugar levels, with higher wine ethanol (EtOH) contents, reduce total acidity (TA) converging with increased pH and lead to the accumulation of CC odorous markers such as γ-nonalactone (γ-C9) and massoia lactone (ML).

Modulating the phyllosphere microbiome in grapevine using plant biostimulants to enhance protection against biotic and abiotic stress

Context and purpose of the study. Climate change scenarios predict ever increasing frequency of drought events and coupled with disease outbreaks poses survival risks to perennial fruit crops such as grapevine.

A NEW STRATEGY AND METHODOLOGY FOR THE CHARACTERIZATION OF POLYPHENOLS IN FINING PRECIPITATE

Polyphenols are secondary metabolite widely distributed in plant kingdom such as in fruits, in grapes and in wine. During the winemaking process, polyphenols are extract from the skin and seed of the berries. Fining is an important winemaking step just before bottling which has an impact on wine stabilization and clarification. Most the time, fining agent are animal or vegetal protein while some of them can be synthetic polymer like PVPP or natural origin like bentonite.

A new approach for sensory characterization of grape. Relationship with chemical composition

Characterize taste and mouthfeel properties of grapes elicited by the phenolic fraction (PF) of grape berries and establish relationships with chemical variables. METHODS: As many as 31 diverse grape lots of Tempranillo Tinto and Garnacha Tinta from three different regions were harvested. Grapes were destemmed and macerated in 15% of ethanol for one week and extracts were submitted to solid phase extraction. The recovered polyphenolic fraction was reconstituted in wine model and characterized by a panel of 21 wine experts employing a list of 23 taste and mouthfeel-related attributes following a rate-k-attributes methodology. RESULTS: Six significant attributes among the 31 samples differed based on ANOVA results: “dry”, “coarse”, “bitter”, “dry on tongue”, “sticky” and “watery”. PCA with VARIMAX algorithm was calculated.