Macrowine 2021
IVES 9 IVES Conference Series 9 Impact of varying ethanol and carbonation levels on the odor threshold of 1,1,6-trimethyl-1,2-dihydronaphtalene (petrol off-flavor) and role of berry size and Riesling clones

Impact of varying ethanol and carbonation levels on the odor threshold of 1,1,6-trimethyl-1,2-dihydronaphtalene (petrol off-flavor) and role of berry size and Riesling clones

Abstract

1,1,6-trimethyl-1,2-dihydronaphtelene (TDN) evokes the odor of “petrol” in wine, especially in the variety Riesling. Increasing UV-radiation due to climate change intensifies formation of carotenoids in the berry skins and an increase of TDN-precursors1. Exploring new viticultural and oenological strategies to limit TDN formation in the future requires precise knowledge of TDN thresholds in different matrices. Thresholds reported in the literature vary substantially between 2 µg/L up to 20 µg/L2,3,4 due to the use of different methods. As Riesling grapes are used for very different wine styles such as dry, sweet or sparkling wines, it is essential to study the impact of varying ethanol and carbonation levels. Therefore we determined the odor detection threshold (DT) with a three alternatives forced choice (3-AFC) test and calculated the best estimate threshold (BET) for each panelist, followed by the calculation of the BET for the whole panel. Matrices varied from water, a model wine, a dry Riesling wine and sparkling wine; the latter two exceptionally low in TDN. Carbonation in water, model wine and Riesling wine ranged from no addition to 2.5 and 6 bar pressure. Ethanol altered from 8 to 14% alc. in 2% alc. increments. Carbonation yielded an inconsistent effect due to a better volatilization leading to lower thresholds and masking of the TDN perception leading to slightly higher thresholds. Increasing ethanol levels however showed a clear tendency to raise the TDN thresholds, presumably due to better solubility and masking by its own pungent odor. Absolute thresholds varied in water between 2.6 and 4.0 µg/L and in wine between 8.5 and 15.2 µg/L. Since TDN is formed by a breakdown of carotenes, its occurrence correlates positively with the degree of sun exposure. This is partially governed by berry size and cluster density given by clonal differences. Thus we studied free and bound TDN in grapes and wines from 8 different Riesling clones. Furthermore, berries were divided in a two fractions according to a diameter smaller and larger than 13 mm. The berry fractions were separately crushed, pressed and fermented. Preliminary results indicate that the clonal influence on the formation of free TDN in the wines was substantially larger than the impact of berry size.

Literature: 1: Winterhalter, P; Goek, R. 2013; Carotenoid Cleavage Products. ACS Symp. Series 1134, 125-137. 2: Sacks, G. L.; Gates, M. J.; Ferry, F. X.; Lavin, E. H.; Kurtz, A. J.; Acree, T. E. 2012; Journal of Agricultural and Food Chemistry 60(12), 2998-3004 3: Ross, C. F.; Zwink, A. C.; Castro, L.; Harrison, R. 2014; Australian Journal of Grape and Wine Research 20(3), 335-339 4: Simpson, R. F. 1978; Chemistry and Industry 1, 37.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Article

Authors

Michael Ziegler*, Hans-Georg Schmarr, Johanna Molenda, Recep Gök, Sandra Klink, Ulrich Fischer

*DLR Rheinpfalz

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Novel contribution to the study of mouth-feel properties in wines

In general, there is a well-established lexicon related to wine aroma and taste properties; however mouth-feel-related vocabulary usually includes heterogeneous, multimodal and personalized terms. Gawel et al.
(2000) published a wheel related to mouthfeel properties of red wine. However, its use in scientific publications has been limited. The authors accepted that the approach had certain limitations as it included redundant and terms with hedonic tone and some others were absent. It is of high interest to generate a mouth-feel lexicon and finding the chemical compound or group of compounds responsible for such properties in red wine. In the present work a chemical fractionation method has been developed.

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.

Evaluating South African Chenin blanc wine styles using an LC-MS screening method

Sorting Chenin blanc is one of the most important white wine cultivars in South Africa. It has received a lot of attention and accolades in the past years and more research than ever is dedicated to this versatile cultivar. According to the Chenin blanc association of South Africa, there are three recognized dry wine styles, Fresh and Fruity (FF), Rich and Ripe Unwooded
(RRU), and Rich and Ripe Wooded (RRW). They are traditionally established with the aid of expert sensory evaluation, but the cost and the (subjective) human factor are aspects to be taken into account. A more objective and possibly robust way of assessing and attributing these styles can be the use of chemical analysis.

Ripening of cv. Cabernet Sauvignon grapes: polysaccharides fractions evolution and phenolic extractability

Polysaccharides and more specifically pectins, make up a significant portion of the cell wall material of the plant cells including the grapes. During the fruit ripening the associated softening is related to the breakdown of the cell wall polysaccharides. During this process, it is expected that polysaccharides that are soluble in red wine will be formed influencing its texture. Anthocyanins are responsible for the wine color and tannins for the astringency, body and bitterness of the wine. In the skins, these compounds are located in the cell vacuoles and the barrier that conditions their extractability is the skin cell wall that may determine the mechanical resistance, the texture and the ease of processing berries. The aim of this work was study the evolution of the polysaccharides and the anthocyanin and tannin extractability during the ripening period in Cabernet Sauvignon grapes, trying to correlate these variables.

Efficiency of alternative chemical and physical treatments in reducing Brettanomyces Bruxellensis from oak wood

Oak barrels form an integral part of wine production, especially that of high quality wines. However, due to its porosity, wood presents an ecological niche for microbial proliferation and is highly susceptible to microbial spoilage which could cause considerable economic losses. Brettanomyces bruxellensis, the most commonly encountered microorganism responsible for spoilage during barrel ageing, can remain in barrels after barrel sanitation to contaminate new batches of wine after refilling. Therefore, effective sanitation treatments are of utmost importance to prevent recurring wine spoilage.