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…

Innovative strategies for reducing astringency in Mandilaria wines 

Mandilaria, a red grape variety indigenous to the Aegean islands, is well known for its robust tannins and pronounced astringency, which can challenge the palatability and marketability of its wines. The aim of this study was the reduction of astringency in wines made exclusively from mandilaria grapes through dehydrations practices and targeted winery applications.

Use of a new, miniaturized, low-cost spectral sensor to estimate and map the vineyard water status from a mobile 

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.

Closure permeability: a key parameter for modulating the aroma of monovarietal white wines during bottle ageing

Bottle aging is crucial for wine quality, influencing its chemical and sensory properties [1]. Ideally, a phase of qualitative ageing enhances sensory attributes before a decline in quality occurs. Understanding the impact of oenological variables on these phases is a key challenge in modern winemaking.

Use of cyclodextrins to improve grape must fermentability thanks to their sequestering effect on medium-chain fatty acids

Cyclodextrins are complex cyclic oligosaccharides of glucose units. They are produced from the breakdown of starch by the enzymatic reaction of glucosyltransferase. The result is a ring-shaped molecule with a cavity with a hydrophilic outer part and a hydrophobic inner part. As a consequence of this cavity, cyclodextrin is able to form complexes with non-polar organic molecules [1,2].

Permanent vs temporary cover crops in a Sangiovese vineyard: preliminary results on vine physiology and productive traits

Cover crops in vineyards have been extensively studied, as the choice of grass species and their management significantly influence soil properties and vine performance.