Macrowine 2021
IVES 9 IVES Conference Series 9 Neural networks and ft-ir spectroscopy for the discrimination of single varietal and blended wines. A preliminary study.

Neural networks and ft-ir spectroscopy for the discrimination of single varietal and blended wines. A preliminary study.

Abstract

Blending wines from different grape varieties is often used in order to increase wine complexity and balance. Due to their popularity, several types of blends such as the Bordeaux blend, are protected by PDO legislation. In the case of monovarietal wines blending is forbidden, however there is no method to authenticate their status, and for this reason adulteration can are difficult to identify. Fourier Transform Infrared Spectroscopy (FT-IR) has proven successful for the discrimination of wines based on several parameters such as geographical origin and type of aging[1], while the use of Neural Networks is now used more often for the development of prediction models. FT-IR spectroscopy coupled with Neural Networks have been used to develop a prediction model for the discrimination of single varietal and blended wines. Generalized RSquare for the training set was 0,9011 and 0,689 for the validation set, while the -Loglikelihood was 3,918 for the training and 0,111 for the validation set. The misclassified rate was 0,03 for the training set and 0,11 for the validation set, showing very good potential for the use of IR spectroscopy for the authentication of single varietal and blended wines.

DOI:

Publication date: September 10, 2021

Issue: Macrowine 2021

Type: Article

Authors

Marianthi Basalekou

University of West Attica,Christos, PAPPAS, Agricultural University of Athens Petros, TARANTILIS, Agricultural University of Athens Anna, Georgoulaki, University of West Attica Anna, STEFOU, University of West Attica

Contact the author

Keywords

ftir, wine, blend, neural networks

Citation

Related articles…

Multidisciplinary assessment of selective harvesting in the Colli Piacentini wine district

Within-field variability can be managed through Precision Viticulture (PV) protocols aiming at identifying homogeneous zones and addressing site-specific operations including selective harvesting (SH). Several authors demonstrated SH profitability in extensive viticulture while few information is available within the Italian context.

Read More

Application of organic carbon status indicators on vineyard soils: the case study of DOC Piave (Veneto region, Italy)

According to the Kyoto Protocol objectives, it’s necessary to identify alternative carbon dioxide sinks, and vineyard soils could be a significant opportunity.

Read More

Multi-mineral wine profiling and Artificial Intelligence: Implementing the signatures of each wine to train algorithms to meet the new challenges facing the wine industry

Multi-mineral wine profiling and artificial intelligence: implementing the signatures of each wine to train algorithms to meet the new challenges facing the wine industry. Although their quantity is minimal, minerals are essential elements in the composition of every wine. Their presence is the result of complex interactions between factors such as soil, vines, climate, topography, and viticultural practices, all influenced by the terroir. Each stage of the winemaking process also contributes to shaping the unique mineral and taste profile of each wine, giving each cuvée its distinctive characteristics.

Read More

A tool for catching mice in wine: development and application of a method for the detection of mousy off-flavour compounds in wine

Over the past two years, the AWRI has received 69 wine samples suspected of being affected by mousy off-flavour. The character has been mostly observed in white wines.

Read More

Does the sustainability perception depend on the Terroir?

The main scope of this research has been to investigate what values are attributed to the concept of “sustainability” by the wine producers of two different wine territories of Piedmont; the terroir of the Barolo DOCG and the the terroir of the Gavi DOCG. The research wants to emphasize how much the characteristic elements of each terroir influence the perception of the concept of sustainability among producers.

Read More