terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Barrels ad-hoc: Spanish oak wood classification by NIRs 

Barrels ad-hoc: Spanish oak wood classification by NIRs 

Abstract

The wooden barrel is a key factor in enology, since wine chemical composition and sensory properties changes significantly in contact with the barrel[1]. Today’s highly competitive market constantly demands new differentiated products and wineries search innovations continuously.

Wood selection is crucial: barrels stability to keep constant their contribution and the result on products, and additional and differentiated wood contributions to impact their new products. Oak wood selection has traditionally been carried out using parameters such as specie, location and grain, however, it goes one step further nowadays. Large cooperage work with non-destructive techniques that allow classifying oak wood quickly and easily according to their organoleptic contribution[2].

CETEMAS studies Spanish origins oak (Q. petreae/robur) wood for cooperage. This is highly regarded by leading beverages manufacturer (wineries and whiskey distilleries). NIROB project led us to study the species, location and grain impact on the total phenol wood content, ellagitannin and volatile compounds profile, as well as the wood NIRs analysis implementation. After this study, it was concluded to modify the French grain classification scale for Spanish Quercus. Moreover, the first total phenol content prediction models were developed and applied on staves selection for wine barrels destined to a winery from PDO Vino de Cangas, with really good results.

During running NIRCHEM project, national and international oak are studied comparatively, improving the NIRs phenol content models and developing new ones to predict key compounds content for winemaker’s interest. The different origins oak chemical composition evolution is also studied depending on the seasoning and toasting.

Our goal is the wood knowledge before its selection, to choose the wood that best suits the characteristics sought by the wineries, offering a tool that allows this selection, enhancing and promoting, at the same time, the use of the country’s oak and its proper forest management.

DOI:

Publication date: October 4, 2023

Issue: ICGWS 2023

Type: Article

Authors

Amelia González1*, Alba Fanjul2, Paula Pérez2, Claudia García2 & Juan Majada Guijo 2

1,2Forest and Wood Technology Research Centre (CETEMAS); Pumarabule S/N.33936.Siero. Asturias

Contact the author*

Keywords

oak wood selection, NIRs, phenolic content, organoleptic properties, cooperage

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

The environmental footprint of selected vineyard management practices: A case study from Logroño (La Rioja) Spain

Viticulture is globally important for socioeconomic and environmental reasons. The EU is globally leading grape and wine production, and Spain is among the top grape and wine producers. As climate change affects viticulture, mitigation and adaptation are crucial for protecting grape production. In this research work, data on viticultural management practices such as soil cultivation, irrigation, energy, machinery, plant protection and the use of fertilizers from vineyards located in Logroño (La Rioja) have been obtained.

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.

Wine odors: chemicals, physicochemical and perceptive processes involved in their perception

The odors of wines are diverse, complex and dynamic and much research has been devoted to the understanding of their chemical bases. However, while the “basic” chemical part of the problem, namely the identity of the chemicals responsible for the different odor nuances, was satisfactorily solved years ago, there are some relevant questions precluding a clear understanding. These questions are related to the physicochemical interactions determining the effective volatilities of the odorants and, particularly, to the perceptual interactions between different odor molecules affecting in different ways to the final sensory outputs.

Effect on the grape and wine characteristics of cv. Tempranillo at 3 production levels

The vineyard has experienced a general increase in yields mainly due to the elevated use of technology which caused a quality loss of grapes in more than one case. A large percentage of the Spanish vineyard is covered by a Denomination of Origin which limits the productive level of the vineyards as one of its regulations. The maximum production limit is a variable characteristic of each vineyard and is not usually regulated by agronomic criteria, and this explains the fact that each vineyard can reach high quality with a totally different yield from that set by the Denomination of Origin.

Effect of foliar application of urea and nano-urea on the cell wall of Monastrell grape skins

The foliar application of urea has been shown to be able to satisfy the specific nutritional needs of the vine as well as to increase the nitrogen composition of the must. On the other hand, the use of nanotechnology could be of great interest in viticulture as it would help to slow down the release of urea and protect it against possible degradation. Several studies indicate that cell wall synthesis and remodeling are affected by nitrogen availability.