OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 OENO IVAS 9 OENO IVAS 2019 9 Analysis and composition of grapes, wines, wine spirits 9 Dispersive liquid-liquid microextraction for the quantification of terpens in wines

Dispersive liquid-liquid microextraction for the quantification of terpens in wines

Abstract

In a highly competitive worldwide market, a current challenge for the beverage sector is to diversify the range of products and to offer wines and spirits with typicity and character. 

During alcoholic fermentation, wine yeasts generate a large variety of volatile metabolites, including acetate esters, ethyl fatty acid esters, higher alcohols, volatile fatty acids and volatile sulfur compounds that contribute to the aroma profile of wine. These molecules, refered as fermentative aromas, are the most abundant volatile compounds synthetized by yeasts and the metabolic pathways involved in their formation have been well characterized. Furthermore, other molecules with a major organoleptic impact may be produced during wine fermentation including terpene derivatives. However, little information is available on the contribution of yeasts to the formation of these molecules, in particular on their ability to synthethise de novo the terpens derivatives or to produce hydrolytic enzymes involved in the release of varietal precursors. 

To study the yeasts ability to produce these molecules, a dispersive liquid-liquid microextraction (DLLME) gas chromatography mass spectrometry was developed for their quantification in white wines, synthetic wine and fermented synthetic medium. A mixture of acetone (dispersive solvent) and dichloromethane (extractive solvent) was added to 5 ml of sample. The proposed method showed no matrix effect, a good linearity in enological range (from 10 to 300 μg/L), good recoveries, inter-day precision and good reproducibility. The developed method was applied to the analysis of the capacities of 41 yeast strains to produce terpene compounds in Chardonnay must and in synthetic meidum. Interestingly, the majority of the studied compound has been detected and quantified in the resulting wines. 

This sample-preparation technique is very interesting for high-throughput studies and for economic and environmental reasons because it is fast, easy to operate with a high enrichment, and consumes low volume of organic solvent.

DOI:

Publication date: June 23, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Guillaume Bergler, Michel Brulfert, Anne Ortiz-Julien, Carole Camarasa, Audrey Bloem

Martell-Mumm-Perrier Jouët, Pernod Ricard, Cognac, France 
Lallemand SAS, Blagnac 
UMR SPO, INRA Montpellier 2 place Pierre Viala, 34060 Montpellier, France 

Contact the author

Keywords

DLLME, Terpens, Alcoholic fermentation, Wine yeast 

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Unleashing the power of artificial intelligence for viticulture and oenology on earth and space

Implementing artificial intelligence (AI) in viticulture and enology is a rapidly growing field of research with an essential number of potential practical applications.

Mapping plant water status to indirectly assess variability in grape flavonoids and inform selective harvest decisions

Plant water stress affects grape (Vitis vinifera L.) berry composition and is variable in space due to variations in the physical environment at the growing site. Could we use water status maps as a sensitive tool to discriminate between harvest zones?

Merging fast sensory profiling with non-targeted GC-MS analysis for multifactorial experimental wine making

Wine aroma is influenced by several viticultural and oenological factors. In this study we used experimental wine making in a full factorial design to determine the impact of grapevine age, must turbidity, and yeast strain on the aroma of Vitis vinifera L. cv. Riesling wines. A recently developed, non-targeted SPME-GC-MS fingerprinting approach for wine volatiles was used. This approach includes the segmentation and mathematical transformation of chromatograms in combination with Parallel Factor Analysis (PARAFAC) and subsequent deconvolution of important chromatogram segments.

Estudio comparativo del potencial enológico de dos varietales tintos cultivados en la isla de Tenerife

En el presente trabajo se ha realizado un estudio comparativo entre los varietales tintos Listán negro y Negramolle en la Denominación de Origen Tacoronte-Acentejo. Se han determinado durante dos años

Mathematical models of the dynamics of fermentation of wine yeasts under the influence of vitamins

Biomass accumulation in yeast has been studied in this work in terms of their role in fermentation processes. So, biotin is involved in many reactions and nitrogen metabolism disorders