Macrowine 2021
IVES 9 IVES Conference Series 9 Chemical markers in wine related to low levels of yeast available nitrogen in the grape

Chemical markers in wine related to low levels of yeast available nitrogen in the grape

Abstract

Nitrogen is an important nutrient of yeast and its low content in grape must is a major cause for sluggish fermentations. To prevent problems during fermentation, a supplementation of the must with ammonium salts or more complex nitrogen mixtures is practiced in the cellar. However this correction seems to improve only partially the quality of wine [1]. In fact, yeast is using nitrogen in many of its metabolic pathways and depending of the sort of the nitrogen source (ammonium or amino acids) it produces different flavor active compounds. A limitation in amino acids can lead to a change in the metabolic pathways of yeast and consequently alter wine quality. A better management of nitrogen fertilization of vineyards can significantly increase the quantity of yeast available nitrogen (YAN) in the grape and consequently the wine quality. A metabolomics study comparing Chasselas and Doral wines produced from grapes of two variants, nitrogen deficient culture versus supplemented with foliar urea, indicated several markers related to nitrogen supplementation of grapes [2]. Four substances from these potential markers were chosen for the present study: 2-phenylethanol, 2- plus 3-methylbutanol, succinic acid and prolin. The production of these compounds is known to be influenced by the nitrogen content of the must and they are in easily measurable concentrations in the wine. The objective of this work is to study the correlation between the concentration of YAN in must and the concentration of the four potential chemical markers in the wine using a significant number of samples ( > 130) including different grape varieties (13), harvests (2009-2014) and yeast types. The goal is to create a model for the retro-prediction of YAN concentration in the original must based on the chemical analysis of the wine. This information can be used by winemakers to optimize nitrogen fertilization of their vineyards. Wines produced in the cellar of AGROSCOPE using a standard protocol without addition of ammonium salt were used for this study. The concentration of YAN in the must was determined before the fermentation. The concentrations of the potential markers in the wine were measured for: the higher alcohols (2-phenylethanol, 2- and 3-methylbutanol) by GC-FID, for succinic acid by enzymatic method and for prolin by HPLC-MS. The four markers show a good correlation (R2 > 0.7) with YAN content in must. Grape variety and yeast variety strongly influence these correlations whereas harvest is less important. The distribution of YAN between ammonium and different individual amino acids explains the major part of the effect from the grape varieties. Reference 1. Bréant, L., Marti, G., Dienes-Nagy, Á., Zufferey, V., Rösti, J., Lorenzini, F., Gindro, K., Viret, O., Wolfender, J-L., In Vino Analytica Scientia 2013, Abstract Book, Poster 80 2. Lorenzini, F.; Vuichard, F.; Revue Suisse de Viticulture Arboriculture Horticulture, 44 (2012), pp 96-103

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Agnes Dienes-Nagy*, Carole Koestel, Fabrice Lorenzini, Johannes Rösti

*AGROSCOPE

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

WineMetrics: A new approach to unveil the “wine-like aroma” chemical feature

“The Human being has an excellent ability to detect and discriminate odors but typically has great difficulty in identifying specific odorants”(1). Furthermore, “from a cognitive point of view the mechanism used to judge wines is closer to pattern recognition than descriptive analysis.” Therefore, when one wants to reveal the volatile “wine-like feature” pattern recognition techniques are required. Sensomics is one of the most recent “omics”, i.e. a holistic perspective of a complex system, which deals with the description of substances originated from microorganism metabolism that are “active” to human senses (2). Depicting the relevant volatile fraction in wines has been an ongoing task in recent decades to which several research groups have allocated important resources. The most common strategy has been the “target approach” in order to identify the “key odorants” for a given wine varietal.

Effect of malolactic fermentation in barrels or stainless steel tanks on wine composition. Influence of the barrel toasting

Ellagitannin, anthocyanin and woody volatile composition of Cabernet Sauvignon wines aged in oak barrels for 12 months was evaluated. Depending on the container where malolactic fermentation (MLF) was carried out, two wine modalities were investigated: wines with MLF carried out in stainless steel tanks and barrel-fermented wines. Three toasting methods (medium toast, MT; medium toast with watering, MTAA; noisette) were considered for ageing of each wine modality. Sensory analyses (triangle and rating tests) were also performed. Two-way ANOVA of the raw experimental data revealed that the toasting method and the container where MLF took place, as well as the interaction between both factors, have a significant influence (p < 0.05) on ellagitannin, anthocyanin and woody volatile profiles of Cabernet Sauvignon wines.

Evaluation of colloidal stability in white and rosé wines investing Dynamic Light Scattering technology

Proteins constitute one of the three main components of grape juice and white wine, phenolic compounds and polysaccharides being the others. A specific group of the total grape-derived proteins resists degradation or adsorption during the winemaking process and remains in finished wine if not removed by the commonplace commercial practice of bentonite fining. While bentonite is effective in removing the problematic proteins, it is claimed to adversely affect the quality of the treated wine under certain conditions, through the removal of colour, flavor and texture compounds. A number of studies have indicated that different protein fractions require distinct bentonite concentrations for protein removal and consequent heat stabilization.

Study of the colour and phenolic evolution of three different tannin/anthocyanin ratios over time in a model wine

Phenolic compounds are important quality indicators in red wine. A large number of polyphenols play an important role in wine development, contributing to the colour and the sensory perception of the wines. Anthocyanins are the pigments responsible for the colour in young red wines while tannins are the principal contributors to the bitterness and the astringency of the wines. Wine polyphenols are considered more complex molecules than grape phenolics, due to the enormous number of chemical reactions which take place during the entire winemaking process and storage, forming more stable compounds.

Use of computational modelling for selecting adsorbents for improved fining of wine

The occurrence of faults and taints in wine, such as those caused by microbial spoilage or various taints, have resulted in significant financial losses to wine producers. The wine industry commits significant financial resources towards fining and taint removal processes each year. Fining involves the addition of one or more adsorptive substrates to juice or wine to bind certain components, thus reducing their concentration [1]. However, these processes are often not selective and can also remove desirable flavour and aroma compounds.