OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 OENO IVAS 9 OENO IVAS 2019 9 Analytical developments from grape to wine, spirits : omics, chemometrics approaches… 9 Development of a new method to understand headspace aroma distribution and explore the pre-sensory level in perceptive interactions involved in red wine fruity aroma expression

Development of a new method to understand headspace aroma distribution and explore the pre-sensory level in perceptive interactions involved in red wine fruity aroma expression

Abstract

A part, at least, of red wines fruity expression may be explained by perceptive interactions involving particularly various substituted ethyl esters and acetates present at concentration far below their olfactory threshold, specifically thanks to synergistic effects. 

Wine sensory perception is directly linked to the stimulation of the taster at the level of olfactory epithelium by volatiles. These compounds are liberated from the matrix to the atmosphere, and will then be smelt. From a physico-chemical point of view, these volatiles ability to be released may be evaluated by their partition coefficients, which correspond to the volatile concentration ratio between the liquid and gas phase. Our goal is, through these coefficients determination, to assess if volatile matrix composition is able to impact the volatility of some compounds, and then explain sensory perception, i.eto evaluate what is called the pre-sensorial level impact. 

Up to our works, various experimental methods have already been developed to determine gas-liquid partition coefficients, but were not adapted to red wines fruity aromatic expression context. Recently, we have developed a new method coupling the low-pressure and static headspace gas chromatography to a mass spectrometry (LP-HS-GC-MS) in order to calculate simultaneously main esters partition coefficients, and that, at their wine concentrations. 

This method of partition coefficients determination was used to study potential modifications of headspace aroma distribution and was applied to understand various perceptive interactions previously described by our team. Results revealed that pre-sensory effects may explain the effects observed during sensory analysis. For example, the presence of dimethyl sulfide led to an increase of esters partition coefficients, and therefore their concentration in the headspace what was correlated to the enhancement of the blackberry-fruit notes observed concomitantly. Furthermore, addition of malolactic fermentation by-products (as diacetyle, acetic acid, g-butyrolactone and acetoin) led to a decrease of esters partition coefficients, and thus of their concentration in the headspace, what may explain partly the masking effect of these compounds on fruity notes perception.

DOI:

Publication date: June 23, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Margaux Cameleyre, Georgia Lytra, Sophie Tempère, Jean-Christophe Barbe

Unité de recherche Oenologie, EA 4577, USC 1366 INRA, ISVV, Université de Bordeaux, Bordeaux INP, F33882 Villenave d’Ornon France 

Contact the author

Keywords

Analytical method development, Red wine, Sensory analysis, Perceptive interactions

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Sensory changes in wines associated with the ripening of Grenache grapes from vineyards in different climatic zones

Climate change is introducing a high variability on grape ripening, causing uncertainty, excessive spending on pesticides and eventually frustrating results in terms of the quality of the vintage, with the increasingly frequent appearance of aromatic problems associated with overripeness, raisining and greenness, which sometimes only appear in bottled wines.

Functionality of different inter-stimulus rinse protocols for the sensory analysis of wildfire affected wines

From the effect of global climate change, wildfire occurrence during grape ripening has increased. These wildfires produce smoke that can carry organic compounds to a vineyard. These smoke compounds are adsorbed in the grape berry and result in wines with elevated levels of smoke-related phenols. These wines are described as having a smokey, burnt, and dirty aroma (Kristic et al, 2015). Not only are volatile phenols carried by smoke, but additionally glycoconjugate forms of these phenols are present as will. These have been found to have a large impact on the flavor of wines, being the cause of a lasting ashy aftertaste post consumption (Parker et al, 2012). When evaluating the sensory profile of these wines when tasted one after the other, there is an observed problem due to the lasting nature of these undesirable attributes and high level of carry-over from sample to sample. The aim of this work is to evaluate the extent this carryover occurs, along with the best sensory practices to mitigate its influence via different inter-stimulus rinse protocols.

Effect of pH and ethanol on Lactiplantibacillus plantarum in red must fermentation: potential use of wine lees

Wine is the result of the alcoholic fermentation (AF) of grape must. Besides AF, wine can also undergo the malolactic fermentation (MLF) driven out by lactic acid bacteria (LAB). Among LAB, Oenococcus oeni and Lactiplantibacillus plantarum are the dominant species in wine. Even if O. oeni is the most common LAB undergoing MLF in wine, due to its high tolerance to wine conditions, L. plantarum can be used to undergo MLF in must. The moderate tolerance of L. plantarum to low pH and ethanol, may compromise the fermentative process in harsh wines.

Taking advantage of difficulties. Variable rate application based on canopy maps to achieve a sustainable crop

Aim: The aim of this work was to evaluate the use of Variable Rate Application technologies based on prescription maps in commercial vineyards with large intra-parcel variability to achieve a more sustainable distribution of Plant Protection Products (PPP)

Valutazione dell’equilibrio vegeto-produttivo con metodiche di proximal sensing

Nel biennio 2008-2009, nell’ambito di un progetto multidisciplinare coordinato e finanziato dal Consorzio Tuscania, 4 vigneti in differenti zone della Toscana sono stati monitorati con strumenti di proximal sensing al fine di valutare la variabilità riscontrabile e ottenere delle indicazioni sulle risposte vegetative delle piante e quanti-qualitative delle produzioni.