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 Identification of cis-2-methyl-4-propyl-1,3-oxathiane as a new volatile sulfur compound (VSC) in wine

Identification of cis-2-methyl-4-propyl-1,3-oxathiane as a new volatile sulfur compound (VSC) in wine

Abstract

Despite their trace concentrations, volatile sulfur compounds (VSCs) are an important category of flavour-active compounds that significantly contribute to desirable or undesirable aromas of many foods and beverages. In wines, VSCs in the form of polyfunctional thiols, notably 3-sulfanylhexan-1-ol (3-SH), 3-sulfanylhexyl acetate (3-SHA), and 4-sulfanyl-4-methyl-pentan-2-one (4-MSP), possess extremely low olfactory thresholds (≈ ng/L) and pleasant “tropical aroma” notes. They have received much attention with respect to their sensory contributions, quantitative occurrences, biogenesis, and thiol management through viticulture and winemaking. However, the fate of these potent volatiles are still not fully understood.

In this work [1], the fate of 3-SH in wine was probed based on the potential sensory and chemistry interactions between 3-SH and acetaldehyde, which led to the identification of cis-2-methyl-4-propyl- 1,3-oxathiane (cis-1) in wine for the first time. Subsequently, a stable isotope dilution assay (SIDA) using headspace–solid-phase microextraction with gas chromatography and mass spectrometry (HS–SPME GC– MS) was developed. A range of parameters was optimised, a deuterated internal standard was synthesised, and the method was fully validated and applied to the quantitation of cis-1 in wines. The aroma detection threshold of 1 was also determined.

The existence of cis-1 in Sauvignon blanc wines from a laboratory-scale fermentation trial was revealed by mass spectral comparison to an authentic standard, linear retention indices of naturally present cis- 1 on two GC columns, and co-injection experiments. Challenges were faced when analysing commercial wine samples due to unknown co-eluting interferences in some wines. After employing d4-1 as the internal standard and evaluating additional capillary column phases, a sensitive SIDA HS–SPME GC–MS method was developed and applied to a survey of commercial wines. Interestingly, trans-1 was not detected whereas cis-1 ranged from undetectable to 460 ng/L, which highly correlated (r = 0.72) to the concentrations of 3-SH, determined in the same wines by HPLC–MS/MS after derivatisation. The aroma detection threshold of 1* in a neutral Australian white wine was found to be 7.1 μg/L. Although cis-1 concentrations in the studied wines were below the odour detection threshold of 1, our results suggest a potential link from cis-1 to the potent VSC 3-SH, and more research is required to gain a better understanding of the importance of cis-1 in wine, from both chemistry and sensory perspectives. The identification and method development work will be presented along with additional experiments involving cis-1 in wine.

references:

[1]. Chen, L., D.L. Capone, and D.W. Jeffery, Identification and Quantitative Analysis of 2-Methyl-4-propyl-1,3-oxathiane in Wine. Journal of Agricultural and Food Chemistry, 2018, 66 (41), 10808–10815.

* Using a commercial standard consisting of 85% cis-1 and 15% trans-1.

DOI:

Publication date: June 23, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Liang Chen, Dimitra Capone, David Jeffery

The ARC Training Centre for Innovative Wine Production, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia 

Contact the author

 

Keywords

wine aroma, tropical fruit, 3-sulfanylhexan-1-ol, stable isotope dilution assay

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Evolution of flavonols during Merlot winemaking processes

The phenomenon of quercetin precipitation in wine (flanovol haze), has been manifested for many years in several wine-producing regions

Ecophysiological characterisation of terroir effects on Vitis vinifera L. Chardonnay and pinot noir in south african cool climate regions

Terroir encompasses environmental (climate, geology, soil and topography), genetic (cultivar and clone) and human factors (oenological and viticultural practices). Climate change brings about shifts in the suitability of a region for the growth of specific grapevine cultivars. This study focused on climatic and fruit parameters (berry size, weight, pH, total acidity (TA) and phenolics) to characterise the terroir effect in Vitis vinifera L. cultivars Chardonnay and Pinot Noir vineyards in the Cape South Coast region (Walker Bay and Elgin).

Recovery of olfactory capacity following a COVID-19 infection

In this video recording of the IVES science meeting 2021, Sophie Tempère (Institut des Sciences de la Vigne et du Vin – ISVV, Université de Bordeaux) speaks about the recovery of olfactory capacity following a COVID-19 infection. This presentation is based on an original article accessible for free on IVES Technical Reviews.

The role and quantification of vitamins in wine: what do we know?

AIM: Vitamins are essential compounds to numerous organisms, including yeasts, and appear highly significant during winemaking processes.

Grapevine nitrogen retrieval by hyperspectral sensing at the leaf and canopy level

Grapevine nitrogen (N) monitoring is essential for efficient N management plans that optimize fruit yield and quality while reducing fertilizer costs and the risk of environmental contamination. Unlike traditional vegetative-tissue sampling methods, remote sensing technologies, including hyperspectral imaging, have the potential to allow monitoring of the N status of entire vineyards at a per-vine resolution. However, differential N partitioning, variable spectral properties, and complex canopy structures hinder the development of a robust N retrieval algorithm. The present study aimed to establish a solid understanding of vine spectroscopic response at leaf and canopy levels by evaluating the different nitrogen retrieval approaches, including the radiative transfer model.