terclim by ICS banner
IVES 9 IVES Conference Series 9 UNRAVELING THE CHEMICAL MECHANISM OF MND FORMATION IN RED WINE DURING BOTTLE AGING : IDENTIFICATION OF A NEW GLUCOSYLATED HYDROXYKETONE PRO-PRECURSOR

UNRAVELING THE CHEMICAL MECHANISM OF MND FORMATION IN RED WINE DURING BOTTLE AGING : IDENTIFICATION OF A NEW GLUCOSYLATED HYDROXYKETONE PRO-PRECURSOR

Abstract

During bottle aging, the development of wine aroma through low and gradual oxygen exposure is often positive in red wines, but can be unfavorable in many cases, resulting in a rapid loss of fresh, fruity flavors. Prematurely aged wines are marked by intense prune and fig aromatic nuances that dominate the desirable bouquet achieved through aging (Pons et al., 2013). This aromatic defect, in part, is caused by the presence of 3-methyl-2,4-nonanedione (MND). MND content was shown to be lower in nonoxidized red wines and higher in oxidized red wines, which systematically exceeds the odor detection threshold (62 ng/L). Concentrations up to 340 ng/L were evidenced in the most oxidized red wines as well as MND content up scaling was observed whatever the oxidation level. Very recently, we identified two new hydroxyketones (2-hydroxy-3-methylnonan-4-one) associated with MND distribution in aged red wines. We demonstrated that in red wine, their oxidation can produce MND (Peterson et al., 2020). To date, the origin of these precursors were not studied. During preliminary experiments, the presence in wine of a glycosylated form of this hydroxyketone was suggested by hydrolysis experiments. Based on the literature, we hypothesized the presence of a corresponding glucosylated precursor and developed a strategy for its organic multi-step synthesis. First, the MND hydroxylated precursor of MND was synthesized by aldolization (Crévisy et al., 2001). Then, based on literature, we optimized strategies for the O- glycosidation step. For this, the tetrabenzylated glucose was activated by imidation reaction (Chatterjee et al., 2018). Several deprotection methods for the glucoside moiety were then experimented. Finally, the use of palladium on carbon for the hydrogenolytic debenzylation lead to the target compound. A multi-step purification process (LC, HPLC) was carried out to reach sufficient purity. Glycosylated standard was characterized by Nuclear Magnetic Resonance (NMR) and by High Resolution Mass Spectrometry (HRMS) and then used to develop an LC-MS/MS for its identification in grapes and wines. The first analytical results lead to look deeper into the search for glucosylated compounds in various oenolo-gical samples (grapes, musts, red wines), affected or not by the nuances of “dried fruits”.

 

1. Peterson, A.; Cholet, C.; Geny, L.; Darriet, P.; Landais, Y.; Pons, A. Identification and analysis of new α- and β-hydroxy ketones related to the formation of 3-methyl-2,4-nonanedione in Musts and red wines. Food Chem. 2020, 305, 12548.
2. Pons, A.; Lavigne, V.; Darriet, P.; Dubourdieu, D. Role of 3-methyl-2,4-nonanedione in the flavor of aged red wines. J. Agric. Food Chem. 2013, 61 (30), 7373–7380.
3. Crévisy, C.; Wietrich, M.; Le Boulaire, V.; Uma, R.; Grée, R. From allylic alcohols to aldols via a novel, tandem isomerization–condensation catalyzed by Fe(CO)5. Tetrahedron Lett. 2001, 42 (3), 395–398.
4. Chatterjee, S.; Moon, S.; Hentschel, F.; Gilmore, K.; Seeberger, PH. An Empirical Understanding of the Glycosylation Reaction. J Am Chem Soc. 2018, 140 (38), 11942-11953.

DOI:

Publication date: February 9, 2024

Issue: OENO Macrowine 2023

Type: Poster

Authors

D. Lamliji1,2,3, C. Thibon2,3, S. Shinkaruk1,2,3, A. Pons2,3,4
1. Univ. Bordeaux, CNRS, Bordeaux INP, ISM, UMR 5255, F-33400 Talence, France.
2. Univ. Bordeaux, Bordeaux INP, INRAE, OENO, UMR 1366, ISVV, F-33140 Villenave d’Ornon, France.
3. Bordeaux Sciences Agro, Bordeaux INP, INRAE, OENO, UMR 1366, ISVV, F-33170 Gradignan, France.
4. Seguin Moreau France, Z.I. Merpins, BP 94, 16103 Cognac, France.

Contact the author*

Keywords

cooked fruit aroma, 3-methyl-2,4-nonanedione, glucosylated precursors, identification

Tags

IVES Conference Series | oeno macrowine 2023 | oeno-macrowine

Citation

Related articles…

IMPACT OF FINING WITH K-CARRAGEENAN, BENTONITE, AND CHITOSAN ON PROTEIN STABILITY AND MACROMOLECULAR COMPOUNDS OF ALBARIÑO WHITE WINE PRODUCED WITH AND WITHOUT PRE-FERMENTATIVE SKIN MACERATION

Pre-fermentative skin maceration is a technique used in white wine production to enhance varietal aroma, but it can increase protein concentration, leading to protein instability and haze formation [1]. To prevent protein instability, wine producers typically use fining agents such as bentonite, before wine bottling, which can negatively impact sensory characteristics and produce waste [2,3]. The aim of this study was to understand the impact of alternative techniques such as the application of polysaccharides (k-carrageenan and chitosan) on protein stability and on the wine macromolecular composition.

SENSORY EVALUATION OF WINE AROMA: SHOULD COLOR-DRIVEN DESCRIPTORS BE USED?

The vocabulary used to describe wine aroma is commonly organized according to color, raising the question of whether they reflect the reality of olfactory perception. Previous studies have assumed this convention of color-aroma matching, and have investigated color’s influence on the perception of aroma only in dyed white wine or in red wine from particular places of origin. Here 48 white and red varietal wines from around the world were evaluated in black glasses then in clear glasses by a panel of wine experts, who gave intensity ratings for aroma attributes commonly used by wine professionals. In black glasses, aromas conventionally associated with white wine were perceived in the red wines, and vice versa.

FERMENTATION POTENTIAL OF INDIGENOUS NON-SACCHAROMYCES YEASTS ISOLATED FROM MARAŠTINA GRAPES OF CROATIAN VINEYARDS

The interest in indigenous non-Saccharomyces yeast for use in wine production has increased in recent years because they contribute to the complex character of the wine. The aim of this work was to investigate the fermentation products of ten indigenous strains selected from a collection of native yeasts established at the Institute for Adriatic Crops and Karst Reclamation in 2021, previously isolated from Croatian Maraština grapes, belonging to Hypopichia pseudoburtonii, Metschnikowia pulcherrima, Metschnikowia sinensis, Metschnikowia chrysoperlae, Lachancea thermotolerans, Pichia kluyveri, Hanseniaspora uvarum, Hanseniaspora guillermondii, Hanseniaspora pseudoguillermondii, and Starmerella apicola species, and compare it with commercial non-Saccharomyces and Saccharomyces strains.

INSIGHTS ON THE ROLE OF GENES ON AROMA FORMATION OF WINES

Yeast secondary metabolism is a complex network of biochemical pathways and the genetic profile of the yeast carrying out the alcoholic fermentation is obviously important in the formation of the metabolites conferring specific odors to wine. The aim of the present research was to investigate the relative expression of genes involved in flavor compound production in eight different Saccharomyces cerevisiae strains.
Two commercial yeast strains Sc1 (S.cerevisiae x S.bayanus) and Sc2 (S.cerevisiae) and six indigenous S. cerevisiae strains (Sc3, Sc4, Sc5, Sc6, Sc7, Sc8) isolated during spontaneous fermentations were inoculated in Assyrtiko and Vidiano grape must.

MODELLING THE AGEING POTENTIAL OF SYRAH RED WINES BY ACCELERATED AGEING TESTS: INFLUENCE OF ANTIOXIDANT ASSAYS AND PHENOLIC COMPOSITION

Red wine ageing is an important step in the red wine evolution and impacts its chemical and sensory characteristics through many chemicals and physico-chemical reactions. The kinetics of these evolutions depend on the wine studied and influence the wine ageing potential. Generally, high quality red wines require a longer period of bottle ageing before consumption¹. The ageing potential is an impor-tant parameter for wine quality and is related to the capacity of a wine to undergo oxidation over time². Phenolic compounds which are ones of the main substrates for oxidation can then potentially modulate ageing potential³.