Unknown

Dataset Information

0

Terroir and vintage discrimination of Malbec wines based on phenolic composition across multiple sites in Mendoza, Argentina.


ABSTRACT: This study evaluated the phenolic profiles of Malbec wines made from grapes of 23 parcels distributed in 12 geographical indications (GIs) from Mendoza, Argentina. Wines were elaborated under standardized winemaking conditions over three consecutive vintages (2016-2018). Data discriminated wines from different GIs and parcels, based on an integrative data analysis by chemometric tools. Vintage effect and specific phenolic compounds were associated with some GIs or parcels. As well, regional climate conditions allowed partial discrimination of the GIs (and also some parcels). A random forest analysis correctly identified 11 out of 23 individual parcels across the different vintages. The most notorious compounds associated with such classification were p-coumaric acid, delphinidin-3-O-glucoside, caffeic acid, quercetin and peonidin-3-O-glucoside. The presented research allows to individualize, through phenolic profiles, parcels with unique characteristics over years. This is the first report characterizing Malbec wines coming from several GIs (and individual parcels) in different vintages. These results are strongly related to terroir features of wines, contributing to a better communication to consumers and to position Argentinean wines.

SUBMITTER: Urvieta R 

PROVIDER: S-EPMC7859225 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Terroir and vintage discrimination of Malbec wines based on phenolic composition across multiple sites in Mendoza, Argentina.

Urvieta Roy R   Jones Gregory G   Buscema Fernando F   Bottini Rubén R   Fontana Ariel A  

Scientific reports 20210203 1


This study evaluated the phenolic profiles of Malbec wines made from grapes of 23 parcels distributed in 12 geographical indications (GIs) from Mendoza, Argentina. Wines were elaborated under standardized winemaking conditions over three consecutive vintages (2016-2018). Data discriminated wines from different GIs and parcels, based on an integrative data analysis by chemometric tools. Vintage effect and specific phenolic compounds were associated with some GIs or parcels. As well, regional clim  ...[more]

Similar Datasets

| S-EPMC9861613 | biostudies-literature
| S-EPMC9794902 | biostudies-literature
| S-EPMC8229091 | biostudies-literature
| S-EPMC3547342 | biostudies-literature
| S-EPMC7828534 | biostudies-literature
| S-EPMC3816585 | biostudies-literature
| S-EPMC7179476 | biostudies-literature
| S-EPMC6838274 | biostudies-literature
| S-EPMC7466255 | biostudies-literature