Macrowine 2021
IVES 9 IVES Conference Series 9 Estimation of chemical age of red wines with the use of Fourier transform infrared spectroscopy (FT-IR) and chemometrics

Estimation of chemical age of red wines with the use of Fourier transform infrared spectroscopy (FT-IR) and chemometrics

Abstract

The color of a red wine is one of the most important parameters of its quality, giving much information on its status, such as the grape variety used or the winemaking style. As the result of a complex equilibrium between different forms of anthocyanins and polymerization reactions which occur over the course of time, color can also serve as an indication of a wines’ age. For this purpose the “chemical age” i and ii indexes have been introduced by Somers in 1977. The chemical age index i measures the color absorbance after the addition of acetaldehyde while chemical index ii provides an indication of how much of the total red pigments are resistant to SO2 bleaching. In this study, we measured the chemical age (i and ii) of wines made of two different native Cretan varieties over a two year period during which they matured in different types of barrels. The grape varieties used, Kotsifali and Mandilari, differ greatly on their anthocyanin profiles. All wines’ mid-IR spectra were also collected with the use of a Fourier Transform Infrared Spectrophotometer in ZnSe disk mode. The determination models were developed for the chemical age indexes using Partial Least Squares (TQ Analyst software) considering the spectral region 1830-1500 cm-1. The correlation coefficients (R2) for chemical age (i) were found 0.93 for Mandilari (root-mean-square error of calibration RMSEC=0.039) and 0.91 for Kotsifali (RMSEC=0.054) respectively. For chemical age (ii) the correlation coefficients (R2) were 0.95 and 0.87 for Mandilari (RMSEC 0.022) and Kotsifali (RMSEC=0.042) respectively. The results indicate there is good potential of using FT-IR for a quick, non destructive, economical and time efficient measurement of a wine’s chemical age.

This study was funded by the program Thalis, “Εvaluation and optimization of the quality factors during maturation of wines produced from Cretan red and white grape varieties. Production of high quality wines”.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Marianthi Basalekou*, Christos Pappas, Dimitris Lydakis, Petros Tarantilis, Stamatina Kallithraka, Yorgos Kotseridis

*Agricultural University of Athen

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Effect of non-Saccharomyces yeast and lactic acid bacteria on selected sensory attributes and polyphenols of Syrah wines

Consumers predominantly use visual, aromatic and texture cues as quality/preference indicators to describe olfactory sensations. In this study, the effect of micro-organism in wine production was investigated using analytical and sensory techniques to achieve relevant analytical characterisation. Selected anthocyanins, flavan-3-ols, flavonols and phenolic acids were quantified in Syrah wines using RP-HPLC-DAD. Standard oenological parameters were also measured. Syrah grape must was fermented with various combinations of Saccharomyces cerevisiae (S. cerevisiae) and non-Saccharomyces (Metschnikowia pulcherrima or Hanseniaspora uvarum) yeasts, which was followed by sequential inoculation of lactic acid bacteria (LAB) (Oenococcus oeni or Lactobacillus plantarum).

Crown procyanidin: a new procyanidin sub-family with unusual cyclic skeleton in wine

Condensed tannins (also called proanthocyanidins) are a widely distributed throughout in plants kingdom and are one of the most important classes of secondary metabolites, in addition, they are part of the human diet. In wine, they are extracted during the winemaking process from grape skins and seeds. These compounds play an important role in red wine organoleptic characteristics such as color, bitterness and astringency. Condensed tannins in red wine are oligomers and polymers of flavan-3-ols unit such as catechin, epicatechin, epigallocatechin and epicatechin-3-O-gallate. The monomeric units can be linked among them with direct interflavanoid linkage or mediated by aldehydes.

Improving the phenolic composition of cv tempranillo wines by blending grapes of different ripening state

The aim of this work was to reduce the alcohol content of Tempranillo wine. Tempranillo wines were produced by grapes harvested at different ripening dates (August 11 which was 21 oBrix and September 28 with 25 oBrix). At the second date, the Tempranillo wines were elaborated as follows: grapes were destemmed, crushed and collected into 50 L stainless-steel vats. Before preferementative maceration in cold, 50 % (M1) and 70 % (M2) of the must have been replaced by the same percentage of must from the first harvest. In addition, a control wine (C) was performed with only grapes from the second harvest.

Extraction of pathogenesis-related proteins and phenolics in Sauvignon Blanc as affected by different

The composition of wine is largely determined by the composition of pre-fermentation juice, which is influenced by extraction of grape components. Different grape harvesting and processing conditions could affect the extraction of grape components into juice. Among these grape components, pathogenesis-related (PR) proteins are of great concern for white wine maker as they are the main cause of haze formation in finished white wine. If not removed before bottling, these PR proteins may progress into haze through the formation of complex with phenolics under certain conditions. Thaumatin-like proteins (TLPs) and chitinases are the main constituents of PR proteins found in protein haze.

Comprehensive two-dimensional gas chromatography coupled with Tof-MS, a powerful tool for analysis of the volatomes of grapes and wines

Comprehensive two-dimensional gas chromatography (GCxGC) has emerged as a powerful analytical technique for unraveling the volatile composition of complex matrices. This work will present three applications of GCxGC Tof-MS to the oenological field, aimed to identify novel biomarkers to be used in the quality control process of the wine industry. Comprehensive mapping of volatile compounds was conducted in a large sample of 70 sparkling wines, produced by 48 different wineries across 6 vintages and representative of the two main production areas for premium Italian sparkling wines (Franciacorta (FC) and Trentodoc (TN)), using HS-SPME followed by GCxGC-Tof-MS and multivariate analysis. Selection and identification of 196 putative biomarkers allowed clear separation of sparkling wines from FC and TN.