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…

Ethyl esters interact with the major wine Thaumatin Like Protein VVTL1

The interactions among aromatic compounds and proteins is an important issue for the quality of foods and beverages. In wine, the loss of flavor after vinification is associated to bentonite treatment and this effect can be the result of the removal of aroma compounds which are bound wine proteins. This phenomenon was recently demonstrated for long chain fatty acids and their ethyl esters (1). Since these latter compounds are spectroscopically silent, their association with proteins is not easy to measure.

Comprehensive two-dimensional gas chromatography coupled with Tof-MS, a powerful tool for analysis of the volatomes of grapes and wines

Comprehensive two-dimensional gas chromatography (GCxGC) has emerged as a powerful analytical technique for unraveling the volatile composition of complex matrices. This work will present three applications of GCxGC Tof-MS to the oenological field, aimed to identify novel biomarkers to be used in the quality control process of the wine industry. Comprehensive mapping of volatile compounds was conducted in a large sample of 70 sparkling wines, produced by 48 different wineries across 6 vintages and representative of the two main production areas for premium Italian sparkling wines (Franciacorta (FC) and Trentodoc (TN)), using HS-SPME followed by GCxGC-Tof-MS and multivariate analysis. Selection and identification of 196 putative biomarkers allowed clear separation of sparkling wines from FC and TN.

Effect of nanofiltration on the chemical composition and wine quality

In Enology the conventional processes of filtration for clarification and stabilization are giving place to alternative membrane processes, including nanofiltration (NF). Furthermore, the increased alcohol content in wines recorded in recent years became an important issue for all the main wine producing countries. Among techniques available to the wine industry to reduce the ethanol content, NF is certainly one of the newest. This study is focused on the evaluation of NF influence on wine physical-chemical composition, including mineral content, which in accordance to our best knowledge is a novelty.

Colour assessment of port wines using colorimetric and spectrophotometric methods

Colour is an important quality parameter in wines and is the result of a complex mixture of pigments
(including anthocyanins and their derivatives, quinones, xanthyllium compounds, etc.). Red wine colour changes over time as pigments react between themselves and with other wine macromolecules
(particularly polyphenols). During wine tasting, colour is normally assessed on the outer rim of the wine profile in a tilted glass, since most wines are too opaque to be analysed in the middle of the glass. Therefore, depending on the depth of observation considered, the perception of wine colour can be different.

Screening sensory-directed methodology for the selection of non-saccharomyces wine yeasts based on perceived aroma quality

The present work contributes by developing a rapid sensory-directed methodology for the screening and selection of high quality wines with different sensory profiles Therefore, Verdejo and Tempranillo musts were fermented with 50 different yeasts each under controlled laboratory conditions. Resulting samples were firstly categorized according to five levels of quality by a panel of wine professionals (Sáenz-Navajas, Ballester et al. 2013). Higher quality samples were described by flash profiling by a semi-trained panel
(Valentin, Chollet et al. 2012) and most distinctive samples were screened by gas chromatography-olfactometry (GC-O) (López, Aznar et al. 2002).