Macrowine 2021
IVES 9 IVES Conference Series 9 NMR profiling of grape musts from some italian regions

NMR profiling of grape musts from some italian regions

Abstract

With wine fraud, being a widespread problem [1], the need for more sophisticated and precise analytical methods of its detection remains ever persistent. Nuclear magnetic resonance (NMR) spectroscopy has been widely used for analysis of wine in recent years [2,3], but wine musts were much less studied; in fact, only one paper dealt with the NMR spectra of actual musts [4]. Difficulties arise mostly because grape musts are “live” objects, which undergo rapid fermentation at room temperature, if not inhibited either by freezing or chemical preservative; but even such measures are not sufficient to halt it completely [5]. We have investigated over 300 samples of grape must from 17 of 20 different Italian regions using 1H NMR spectroscopy with water signal suppression, postprocessing in the MatLab software with dynamic alignment [6] and optimized binning [7] to alleviate the effect of fermentation on the chemical shifts of mobile protons. After that, multivariate statistics was performed with techniques such as PCA, PLS-DA and OPLS-DA with respect to various group parameters such as regions, vitivinicultural zones, harvest periods and grape varieties. Advantages and drawbacks of each method were addressed.

DOI:

Publication date: September 13, 2021

Issue: Macrowine 2021

Type: Article

Authors

Pavel Solovyev

Fondazione Edmund Mach (FEM), via E. Mach 1, 38010, San Michele all’Adige, Italy ,Matteo Perini, Fondazione Edmund Mach (FEM), via E. Mach 1, 38010, San Michele all’Adige, Italy Pietro Franceschi, Fondazione Edmund Mach (FEM), via E. Mach 1, 38010, San Michele all’Adige, Italy Luana Bontempo, Fondazione Edmund Mach (FEM), via E. Mach 1, 38010, San Michele all’Adige, Italy Federica Camin, Fondazione Edmund Mach (FEM), via E. Mach 1, 38010, San Michele all’Adige, Italy, University of Trento, via Mach 1, 38010 San Michele all’Adige (TN), Italy

Contact the author

Keywords

grape musts, nmr spectroscopy, profiling, multivariate statistics

Citation

Related articles…

Blend wines made of Syrah, Marselan and Tannat, had better color and more phenolic diversity than varietal wines

Background: Elaborating red-wines from grape cultivars with different polyphenolic profiles could improve wine color and its phenolic-dependent characteristics

Corvina berry morphology and grape composition as affected by two training system (Pergola and Guyot) in a context of climate change scenario

The Valpolicella area (Veneto Region, Italy) is famous for its high quality wines: Amarone and Recioto, both obtained from partial post-harvest dehydrated red grapes. The main cultivars used for these wines are Corvina and Corvinone. In this Region hundreds of years ago a particular training system (Pergola, cordon/cane with horizontal shoot-positioning) was developed. In the last 20 years the Guyot have been introduced in the area; now Pergola and Guyot are equally widespread in the Valpolicella area. In two different environmental conditions (hill and floodplain) two vineyards, one for each type of training system, were studied along two years (2011-2012).

Enhancing the color traits of ‘Nebbiolo’ and ‘Dolcetto’ grapes: the role of abscisic acid during ripening

The red Italian variety Nebbiolo (Vitis vinifera L.), used in the production of the prestigious Barolo and Barbaresco wines, is renowned for its aromatic and structural complexity but also for its low color intensity.

Influence of cell-cell contact on yeast interactions and exo-metabolome

Alcoholic fermentation is the main step for winemaking, mainly performed by the yeast Saccharomyces cerevisiae. But other wine yeasts called non-Saccharomyces may contribute to alcoholic fermentation and modulate the wine aroma complexity. The recurrent problem with the use of these non-Saccharomyces yeasts is their trend to die off prematurely during alcoholic fermentation, leading to a lack of their interesting aromatic properties searched in the desired wine. This phenomenon appears to be mainly due to interactions with S. cerevisiae. These interactions are often negatives but remain unclear because of the species and strain specific response. Among the non-Saccharomyces yeasts, Lachancea thermotolerans is a wine yeast naturally found in grape must and well known as a great L-lactic acid producer and an aromatic molecules enhancer, but its behavior during alcoholic fermentation can be completely different in co-fermentation with S. cerevisiae in function of strain used.

Climate projections over France wine-growing region and its potential impact on phenology

Climate change represents a major challenge for the French wine industry. Climatic conditions in French vineyards have already changed and will continue to evolve. One of the notable effects on grapevine is the advancing growing season. The aim of this study is to characterise the evolution of agroclimatic indicators (Huglin index, number of hot days, mean temperature, cumulative rainfall and number of rainy days during the growing season) at French wine-growing regions scale between 1980 and 2019 using gridded data (8 km resolution, SAFRAN) and for the middle of the 21th century (2046-2065) with 21 GCMs statistically debiased and downscaled at 8 km. A set of three phenological models were used to simulate the budburst (BRIN, Smoothed-Utah), flowering, veraison and theoretical maturity (GFV and GSR) stages for two grape varieties (Chardonnay and Cabernet-Sauvignon) over the whole period studied. All the French wine-growing regions show an increase in both temperatures during the growing season and Huglin index. This increase is accompanied by an advance in the simulated flowering (+3 to +9 days), veraison (+6 to +13 days) and theoretical maturity (+6 to +16 days) stages, which are more noticeable in the north-eastern part of France. The climate projections unanimously show, for all the GCMs considered, a clear increase in the Huglin index (+662 to 771 °C.days compared to the 1980-1999 period) and in the number of hot days (+5.6 to 22.6 days) in all the wine regions studied. Regarding rainfall, the expected evolution remains very uncertain due to the heterogeneity of the climates simulated by the 21 models. Only 4 regions out of 21 have a significant decrease in the number of rainy days during the growing season. The two budburst models show a strong divergence in the evolution of this stage with an average difference of 18 days between the two models on all grapevine regions. The theoretical maturity is the most impacted stage with a potential advance between 40 and 23 days according to wine-growing regions.