Macrowine 2021
IVES 9 IVES Conference Series 9 Multivariate strategies for red wines classification using stilbenes and flavonols content

Multivariate strategies for red wines classification using stilbenes and flavonols content

Abstract

Bioactive polyphenols from grapes and wines, like stilbenes and flavonols (SaF), are often determined to nutritional evaluation, but also for many other purposes. The objective of this study was to quantify SaF in red wines from “Campanha Gaúcha”, a large and young viticultural region from South Brazil. Moreover, through statistical analysis, evaluate the influence of these compounds according to varieties, production process, harvest years and micro-regions of cultivation. A total of 58 samples of red wines were analyzed by high-performance liquid chromatography coupled to diode array detector (HPLC-DAD) for determination of trans-resveratrol (R), quercetin (Q), myricetin (M), kaempferol (K), trans-e-viniferin (V) and their precursor, cinnamic acid (C). During such method validation, the selectivity was confirmed by a high resolution mass spectrometer (QTOF). For statistical analysis, four different data sets were used: wine varieties (34 samples), process influence (58 samples), harvest years (54 samples) and micro-regions (58 samples). The analysis of variance (ANOVA), principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were used. The Kennard-Stone algorithm was used to separate the samples into training and test sets. The leave-one-out cross validation method was used to choose the number of latent variables (LVs) in PLS-DA. The limits of detection (LOD) and quantification (LOQ) of (R), (Q), (M), (K), (V) and (C) were, respectively, 0.33 and 1.01, 0.30 and 0.90, 0.23 and 0.69, 0.27 and 0.81, 0.23 and 0.70, 0.02 and 0.05 µg mL-1. The concentration of (C) was below the LOQ in all samples, since it is consumed to synthesize the studied SaF. According to ANOVA, the SaF concentrations changed significantly due to the influence of the studied parameters. However, no patterns were observed in the scores of the first three principal components (PCs) of the PCA for harvest year and micro-regions data set. A tendency of separation was observed in the PCA scores for different varieties and processing data set. Through PLS-DA, it was possible to satisfactorily predict the wine variety and the processing through the concentration of SaF in terms of sensitivity and specificity. These figures of merit were between 67-100% for both data sets. These results indicate that the concentration of secondary metabolites trans-resveratrol, quercetin, myricetin, kaempferol and trans-e-viniferin, determined by HPLC-DAD, have the potential to measure the variation of red wines between micro-regions from “Campanha Gaúcha”. Consequently, it may be part of an efficient strategy to elaborate different styles of wines adapted to a whole region.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Letícia Silva*, Ana Bergold, Celito Crivellaro Guerra, Marcelo Marcelo, Marco Ferrão

*Embrapa and UFRGS

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Fractionation of copper and iron in wine: Assessment of potential macromolecule and sulfur binding agents

Copper and iron are known to substantially impact wine stability through oxidative, reductive or colloidal phenomena. However, the binding of metal ions to different wine components under wine conditions, and the impact of this binding on the ability of the metal ions to induce spoilage processes, is not well understood. This study surveyed a range of red and white wines for an understanding of the variability of broad metal categories within the wines. The techniques utilized included an electrochemical constant current stripping potentiometry technique (ccSP), and solid phase extraction (SPE) fractionation of wine with subsequent analysis of the metal content of each fraction by inductively coupled plasma – optical emission spectroscopy (ICP-OES).

Chemical markers in wine related to low levels of yeast available nitrogen in the grape

Nitrogen is an important nutrient of yeast and its low content in grape must is a major cause for sluggish fermentations. To prevent problems during fermentation, a supplementation of the must with ammonium salts or more complex nitrogen mixtures is practiced in the cellar. However this correction seems to improve only partially the quality of wine [1]. In fact, yeast is using nitrogen in many of its metabolic pathways and depending of the sort of the nitrogen source (ammonium or amino acids) it produces different flavor active compounds. A limitation in amino acids can lead to a change in the metabolic pathways of yeast and consequently alter wine quality.

Study of the colour and phenolic evolution of three different tannin/anthocyanin ratios over time in a model wine

Phenolic compounds are important quality indicators in red wine. A large number of polyphenols play an important role in wine development, contributing to the colour and the sensory perception of the wines. Anthocyanins are the pigments responsible for the colour in young red wines while tannins are the principal contributors to the bitterness and the astringency of the wines. Wine polyphenols are considered more complex molecules than grape phenolics, due to the enormous number of chemical reactions which take place during the entire winemaking process and storage, forming more stable compounds.

Ageing of sweet wines: oxygen evolution according to bung and barrel type

Barrel ageing is a crucial step in the wine process because it allows many changes to the wine as enrichment, colour stabilization, clarification and also a slow oxygenation. Effects of the oak barrel have to be known to prevent oxidation of the wine. The type of bung used during ageing is also a parameter to consider. Ageing sweet wines in barrel is a real challenge. These wines may need some oxygen at the beginning of ageing but they should be protected at the end of their maturation, to avoid oxidation.

Ethyl esters interact with the major wine Thaumatin Like Protein VVTL1

The interactions among aromatic compounds and proteins is an important issue for the quality of foods and beverages. In wine, the loss of flavor after vinification is associated to bentonite treatment and this effect can be the result of the removal of aroma compounds which are bound wine proteins. This phenomenon was recently demonstrated for long chain fatty acids and their ethyl esters (1). Since these latter compounds are spectroscopically silent, their association with proteins is not easy to measure.