terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

Abstract

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to  region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).

Linear sweep voltammetry (using disposable carbon paste electrodes) and A-TEEM signals of 132 Tempranillo red wines were acquired. Data were analysed following non-supervised statistical strategies such as principal component analysis (PCA) to reduce the number of variables, and two-way ANOVA (origin and category) and supervised modeling strategies derived from machine learning algorithms.

The voltammogram in the region of 691-771 mV provided clear classification of the three ageing categories and Rioja Oriental and Rioja Alavesa/Alta could be separated, but Alavesa could not be differentiated from Alta based on voltammetric signals. Results showed that A-TEEM was more efficient in classifying subareas and ageing categories of Tempranillo Rioja wines, with an ML approach using extreme gradient boosting discriminant analysis (XGBDA) providing 100% correct class assignment for subregion and wine category. A-TEEM coupled with ML algorithms is presented as a powerful and rapid approach to classify Tempranillo Rioja wines according to their origin and style of ageing.

Acknowledgements: This project was funded by the Corporation DOCa Rioja and the José Castillejo program through the Ministerio de Universidades: Programa Estatal de Promoción del Talento y su Empleabilidad en I+D+i, Subprograma Estatal de Movilidad, del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (CAS21/00221).

DOI:

Publication date: October 13, 2023

Issue: ICGWS 2023

Type: Poster

Authors

M. P. Sáenz-Navajas1*, S. Bastian2, D. W. Jeffery2

1Instituto de Ciencias de la Vid y del Vino (Universidad de La Rioja-Consejo Superior de Investigaciones Científicas-Gobierno de La Rioja). Departamento de Enología, Logroño, La Rioja, Spain
2School of Agriculture, Food and Wine, The University of Adelaide, PMB 1, Glen Osmond, South Australia 5064, Australia

Contact the author*

Keywords

designated origin, A-TEEM, extreme gradient boosting, classification, red wine, statistical modeling

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Comparison of ancestral and traditional methods in the elaboration of sparkling wines; preliminary results

Top quality sparkling wines (SW) are mostly produced using the traditional method that implies a second fermentation into the bottle[1]. That is the case of sparkling wines of reputed AOC such as Champagne, Cava or Franciacorta. However, it seems that the first SW was elaborated using the ancestral method in which only one fermentation takes place[2]. That is the case of the classical SW from the AOC Blanquette de Limoux[3]. In both cases, SW age in the bottle during some time in contact with lees favoring yeast’s autolysis[4]. There is a lot of information about traditional method but only few exists about ancestral method. The aim of this work was to compare SW made by the ancestral method with SW made by the traditional method.

Differences in metabolism among species and hybrids of the genus Saccharomyces during wine fermentation unveiled by multi-omic analysis 

Yeast species S. cerevisiae, S. uvarum, S. kudriavzevii and their hybrids present clear metabolic differences, even when we compared S. cerevisiae wine versus wild strain. These species and hybrids produced significantly higher amounts of glycerol, organic acids, 2,3-butanediol, and 2-phenyl ethanol and a reduction of the ethanol yield, properties very interesting in the sector to deal with climate change effects. To understand the existing differences, we have used several omics techniques to analyze the dynamics of the (intra- and extracellular) metabolomes and/or transcriptomes of representative strains of S. cerevisiae, S. uvarum, S. kudriavzevii, and hybrids.

Drought tolerance assessment and differentiation of grapevine cultivars using physiological metrics: insights from field studies

This study aimed to validate a protocol and compare metrics for evaluating drought tolerance in two Vitis vinifera grapevine cultivars under field conditions. Various metrics were calculated to represent the physiological responses of plants to progressive water deficit. Data were collected from Sauvignon Blanc and Chardonnay plants subjected to three irrigation levels during the 2022-2023 season, along with data from three previous seasons. Hydro-escape areas were used to assess the plant’s ability to reduce water potential with decreasing soil water availability.

Moderate wine consumption – part of a balanced diet or a health risk?

Consumption of wine/alcoholic beverages remains a topic of great uncertainty and controversy worldwide. The term “no safe level” dominates the media communication and policy ever since population studies in 2018 [1,2] were published, which denied the existence of a J-curve and suggested that ANY consumption of an alcoholic beverage is harmful to health. The scientific evidence accumulated during the past decades about the health benefits of moderate wine consumption, were questioned and drinking guidelines considered to be too loose.

Biotic and abiotic factors affecting physiological aspects underlying vegetative vigour in two commercial grapevine varieties

Grapevine vigour, defined as the propensity to assimilate, store and/or use non-structural sugars for allowing fast growth of shoots and producing large canopies[1], is crucial to optimize vineyard management. Recently, a model has been proposed for predicting the vigor of young grapevines through the measurement of the vegetative growth and physiological parameters, such as water status and gas exchange[2]. Our objectives were (1) to explore the influence of the association of two grapevine varieties (Tempranillo and Cabernet Sauvignon, grafted onto R110 rootstocks) with arbuscular mycorrhizal fungi (AMF) on the vegetative vigour of young plants; and (2) to assess the effect of environmental factors linked to climate change on the vegetative vigour of Cabernet Sauvignon.