Indole Content Profiling During Biological Ageing of Cava Sparkling Wine

Indoles are bioactive components found in wine products and are associated with yeast activity. Cava, a Spanish sparkling wine, is characterized by aging in contact with lees, making it a potential matrix for indoles. Therefore, the aim of this study was to determine the indole content in Cava produced at an industrial scale. Nine indoles were analysed by Ultra High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Cava samples with different ageing times (n = 74). Significant amounts of tryptophan (2.3-1680.4 μg/L), tryptophan ethyl ester (0.1-5.2 μg/L), 5-methoxytryptophol (0.3-29.2 µg/L) and n-acetyl serotonin (0.3-2.3 μg/L) were determined. Tryptophan and tryptophan ethyl ester were positively correlated and decreased with ageing time. In fact, a concentration of less than 0.56 μg of the latter indole can become a marker of the most aged Cavas. The ageing time in contact with lees seems to play a key role affecting the indole content, since base wines show high amount of tryptophan and tryptophan ethyl ester while aged sparkling wines have values around the lower 95% confidence limit. Notably, the identification of tryptophan ethyl ester as a potential marker for aging in Cava suggests a new avenue for further research and quality assessment in its production.

Authors

Institutions

Publication Details

Journal
Foods
Published
2025-02-20
DOI
https://doi.org/10.3390/foods14050722
Citations
2
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
2.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Indole Content Profiling During Biological Ageing of Cava Sparkling Wine

Elvira López‐Tamames, Alba Martín-Garcia, Montserrat Riu-Aumatell, Clara Abarca-Rivas
2 citations
Foods
Fermentation and Sensory Analysis
2.32
article

Indole Content Profiling During Biological Ageing of Cava Sparkling Wine

Elvira López‐Tamames, Alba Martín-Garcia, Montserrat Riu-Aumatell, Clara Abarca-Rivas
article en
2 citations

Abstract

Indoles are bioactive components found in wine products and are associated with yeast activity. Cava, a Spanish sparkling wine, is characterized by aging in contact with lees, making it a potential matrix for indoles. Therefore, the aim of this study was to determine the indole content in Cava produced at an industrial scale. Nine indoles were analysed by Ultra High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Cava samples with different ageing times (n = 74). Significant amounts of tryptophan (2.3-1680.4 μg/L), tryptophan ethyl ester (0.1-5.2 μg/L), 5-methoxytryptophol (0.3-29.2 µg/L) and n-acetyl serotonin (0.3-2.3 μg/L) were determined. Tryptophan and tryptophan ethyl ester were positively correlated and decreased with ageing time. In fact, a concentration of less than 0.56 μg of the latter indole can become a marker of the most aged Cavas. The ageing time in contact with lees seems to play a key role affecting the indole content, since base wines show high amount of tryptophan and tryptophan ethyl ester while aged sparkling wines have values around the lower 95% confidence limit. Notably, the identification of tryptophan ethyl ester as a potential marker for aging in Cava suggests a new avenue for further research and quality assessment in its production.

FoodsVol. 14(5)
Universitat de Barcelona (ES)
Indian National Science Academy, Generalitat de Catalunya, Comisión Interministerial de Ciencia y Tecnología, Agencia Estatal de Investigación
Openalex Percentile: Top 14%
Fermentation and Sensory Analysis
2.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.