IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Carbon isotope ratio (Δ13C) and phenolic profile used to discriminate wines from Dealu mare and Cotnari regions (Romania)

Carbon isotope ratio (Δ13C) and phenolic profile used to discriminate wines from Dealu mare and Cotnari regions (Romania)

Abstract

Regarding the food quality, authenticity is one of the most important issues in the context of ensuring the safety and security of consumers, but is also more important when it comes to wine (one of the most counterfeited foods in the world).

A batch of 28 wines of Romanian varieties obtained in two regions well known for the production of wines from Romania (Dealu Mare and Cotnari) was analyzed from a physical-chemical point of view in order to discriminate them according to geographical origin and variety. The assessment of the carbon isotope ratio in ethanol extracted from wine provides relevant information to validate the geographical origin of wines. At the same time, the phenolic compounds in wine composition are of great importance, they contribute to the formation of characteristics such as taste, color and structure. The profile of these compounds is very different depending on grape variety, climatic conditions in each area and the applied wine-making technology. Therefore, a correlation between the carbon isotope ratio and the phenolic compounds profile can provide an overview of wines of a certain variety or region. Thus, the carbon isotope ratio (δ13C) was determined for all wines in this batch, which varied between -27.13 and -25.83 for wines from the Dealu Mare region and between -28.27 and -25.66 for wines from the Cotnari region. Also 12 phenolic compounds (gallic acid, protocathecic acid, caftaric acid, caffeic acid, coumaric acid, trans resveratrol, hydroxytyrosol, tyrosol, procyanidin dimer B1 and procyanidin dimer B2, catechin and epicatechin) were identified and quantified.
The δ13C measurements have been performed using an elemental analyser VarioMicroCube, Elementar coupled to an isotope ratio monitoring by mass spectrometry (Isoprime, Elementar) while the phenolic compounds content was analyzed by high-performance liquid chromatography (HPLC-PDA). In order to differentiate the wine samples according to the geographical region and the variety, statistical analysis was applied and thus a good discrimination of the wines according to the region and at the same time of the varieties within the same region was achieved.

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Cotea Valeriu1, Popirda Andreea1, Luchian Camelia Elena1, Colibaba Lucia Cintia1, Focea Elena Cornelia1, Nicola Sebastien2 and Noret Laurence2

1Iasi University of Life Sciences, Faculty of Horticulture, Department of Horticultural Technologies, 3rd M. Sadoveanu Alley, 700490 Iasi, Romania
2Université Bourgogne Franche-Comté, AgroSup Dijon, PAM UMR A 02.102, Institut Universitaire de la Vigne et du Vin – Jules Guyot, F-21000 Dijon, France

Contact the author

Keywords

wine, geographical origin, δ13C measurements, phenolic compounds analysis

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Options to replace or reduce the sulphite content in Tannat red wines produced with minimal intervention

Several Uruguayan wineries have begun to produce wines with minimal intervention, to increase the sustainability of their vineyards and wines. These wines are characterized by the minimum intervention in the management of the vineyard, its harvest, vinification, conservation and aging1,2. Sulfur dioxide (SO2) is not used or is used in reduced doses, although chitosan can be substituted or supplemented1. The objective of this research is to evaluate SO2 reduction or replacement options adapted to the production of Tannat red wines with minimal intervention. Vinification of the Tannat grapes with autochthonous yeasts (LN) was carried out during the 2023 vintage.

Read More

Soluble solids and firmness responses of a very slow ripening mutant to ripening acceleration treatments

Wine grapes have the ability to accumulate high amounts of hexoses (glucose and fructose), which is considered one of the main processes occurring during the ripening stage. Sugar accumulation dynamics respond to genetic, environmental and vineyard management factors, with a changing climate leading to advanced and faster sugar accumulation worldwide. Research on mitigation techniques to this phenomenon is ongoing, with the largest focus being vineyard techniques to delay sugar accumulation. Breeding represents another powerful tool to address the issue of high sugar concentration at harvest, since historical trends of selecting best sugar-accumulators may be inverted to breed varieties that accumulate diminished concentrations of hexoses while maintaining optimal acidity, color, mouthfeel and aroma compounds.

Read More

Overall conceptual characterization of aged dry white wines using a mental descriptive questionnaire

The purpose of the present study was to understand the overall concept of an aged dry white wine using a descriptive mental questionnaire. A total of 680 worldwide participants, grouped according to their involvement in the wine business, replied to an online questionnaire to characterize the sensory analytical and synthetic descriptors of an aged dry white wine. The descriptors were selected using a Check-All-That-Apply (CATA) approach concerning wine colour, aroma, taste, mouthfeel, and global appreciation.

Read More

Can the satellite image resolution be improved to support precision agriculture in the vineyard through vegetation indices?

Aim: This study aims to show the application of a new methodological approach to improve the resolution of Sentinel-2A images and derived vegetation indices through the results from different vineyards. 

Read More

Methodology of climate modelling using land surface temperature downscaling: case study case of Gironde (France)

Aim: Climate modelling in viticulture introduced new challenges such as high spatio-temporal monitoring and the use of dependable time series and robustness modelling methods. Land surface temperature (LST) is widely used and particularly MODIS thermal satellite images due to their high temporal resolution (four images per day).

Read More