Macrowine 2021
IVES 9 IVES Conference Series 9 What do we know about the kerosene/petrol aroma in riesling wines?

What do we know about the kerosene/petrol aroma in riesling wines?

Abstract

AIM: 1,1,6-Trimethyl-1,2-dihydronaphthalene (TDN) is a controversial aroma component found in Riesling wines. It belongs to the family of C13-norisoprenoids and is mainly associated with kerosene/petrol notes. TDN can add complexity to the wine aroma at medium – low concentrations and deteriorate the wine bouquet when its content is high. No TDN aromas are usually perceived in young Riesling wines, but they can appear after several years of aging due to the gradual formation of TDN. Management of TDN in Riesling wines is an actual task, since global warming can promote formation of this compound and compromise the aromatic composition of wine. Therefore, the aim of the current work was, firstly, to study the sensory particularities of TDN in Riesling wine at various concentrations. Secondly, to investigate the ability of bottle closures to absorb (scalp) TDN from Riesling wine under various storage conditions. These studies also include the comparative assessment of our findings with previously published data.

METHODS: sensory analysis, GC-MS (SBSE), HPLC,1H-NMR and other methods related to the synthesis and determination of TDN.

RESULTS: First of all, the method of the synthesis of highly purified TDN (95% and 99.5%) was optimized [1]. The obtained TDN was used for the calibrations in GC-MS analysis and for the sensory and TDN scalping studies. As a result, three sensory thresholds for TDN in Riesling wine were determined: detection threshold (about 4 μg/L), recognition threshold (about 10-12 μg/L) and rejection threshold (about 71-82 μg/L) [2]. It was also demonstrated, that the TDN aroma recognition was easier in the cooled wine. The defined thresholds were discussed in relation to the previously reported sensory thresholds determined by other panels and in other wine matrices. In the experiment of TDN scalping, five bottle closures were studied under storage conditions which varied by ambient temperature (14 °C vs 27 °C) and bottle position (horizontal vs vertical) [3]. A large difference in TDN scalping rate was observed for synthetic and glass stoppers depending on the storage conditions. For example, the TDN absorbance from the wine was more than three times faster by synthetic stoppers at the lower storage temperature compared to the higher one (vertical bottle position). Cork stoppers demonstrated a fast scalping process in all storage scenarios, absorbing up to 40% TDN. In the wine bottled with BVS screw caps, only a minor decrease of TDN was found in all storage variants.

CONCLUSIONS:

TDN is an aroma compound that requires effective control tools in Riesling wines. The described results of the sensory analysis can be used as a reference for the desired content of TDN in finished Riesling wines. At the same time, the outcomes of the TDN scalping study provide a deeper understanding of the impact of bottle closures and storage conditions on the TDN content in wine.

DOI:

Publication date: September 22, 2021

Issue: Macrowine 2021

Type: Article

Authors

Andrii Tarasov, Nicoló Giuliani (1), Alexey Dobrydnev (2), Christoph Schuessler (1), Nikolaus Müller, Yulian Volovenko (2), Doris Rauhut (1), Rainer Jung (1) 

(1) Hochschule Geisenheim University (Germany) (2) Faculty of Chemistry, Taras Shevchenko National University of Kyiv (Ukraine)

Contact the author

Keywords

1,1,6-trimethyl-1,2-dihydronaphthalene (tdn); sensory threshold; scalping; bottle closure; wine

Citation

Related articles…

Artificial intelligence (AI)-based protein modeling for the interpretation of grapevine genetic variants

Genetic variants known to produce single residue missense mutations have been associated with phenotypic traits of commercial interest in grapevine. This is the case of the K284N substitution in VviDXS1 associated with muscat aroma, or the R197L in VviAGL11 causing stenospermocarpic seedless grapes. The impact of such mutations on protein structure, stability, dynamics, interactions, or functional mechanism can be studied by computational methods, including our pyDock scoring, previously developed. For this, knowledge on the 3D structure of the protein and its complexes with other proteins and biomolecules is required, but such knowledge is not available for virtually none of the proteins and complexes in grapevine.

PROBING GRAPEVINE-BOTRYTIS CINEREA INTERACTION THROUGH MASS SPECTROMETRY IMAGING

Plants in their natural environment are in continuous interaction with large numbers of potentially pathogenic and beneficial microorganisms. Depending on the microbe, plants have evolved a variety of resistance mechanisms that can be constitutively expressed or induced. Phytoalexins, which are biocidal compounds of low to medium molecular weight synthesized by and accumulated in plants as a response to stress, take part in this intricate defense system.1,2
One of the limitations of our knowledge of phytoalexins is the difficulty of analyzing their spatial responsiveness occurring during plant- pathogen interactions under natural conditions.

Direct SPME GC-MS determination of volatile congeners in wines without sample pre-treatment

In this work “ethanol as an internal standard” method was used for the SPME GC-MS quantification of volatile congeners in wines. Our aim was to develop a fast and simple method of wine analysis without additional procedures, reagents etc. A row of standard solutions containing some frequently found congeners in wine was prepared gravimetrically. Suggested method was compared with traditional internal standard method.

Yeast Derivatives: A Promising Alternative In Wine Oxidation Prevention?

Oxidation processes constitute a main problem in winemaking. Oxidation result in color browning and varietal aroma loss, which are key attributes of wine organoleptic quality [1]. Despite the mechanisms involved in wine oxidation have been extensively reviewed [2], the protection of wine against oxidative spoilage remains one of the main goals of winemaking.
SO2 is one of the most efficient wine antioxidants used to prevent oxidation and microbial spoilage. However, intolerances caused by SO2 have led to the reduction of its concentration in wines.

Profiling and evaluating wine lees by-products from various yeast strains against grapevine pathogens

Wine lees are the sediment that settles at the bottom of wine barrels, tanks, or bottles during the winemaking process and represent the second most significant by-product of wineries.