Macrowine 2021
IVES 9 IVES Conference Series 9 LC-MS based metabolomics discriminates premium from varietal chilean Cabernet Sauvignon cv. Wines

LC-MS based metabolomics discriminates premium from varietal chilean Cabernet Sauvignon cv. Wines

Abstract

Aim of the study was to investigate the metabolomic differences between Chilean Cabernet Sauvignon wines, divided according to their quality in two main groups: “Varietal” and “Premium”, and to point out metabolites tentative markers of their chemical signature and sensorial quality. Initially, 150 (50 x 3 biological replicates) experimental wines were produced by the same semi-industrial process, which covered 8 different Chilean valleys. The wine classification made by experts, divided the wines into two major groups (“Varietal” and “Premium”) and four subgroups (two for each major group). All the samples were analyzed according to a robust LC-MS based untargeted work-flow (Arapitsas et al 2018), and the proposed minimum reporting standards for chemical analysis of the Metabolomics Standards Initiative (Sumner et al 2007). The produced big-dataset was based on 7633 features for ESI- mode analysis and 9258 for ESI+ mode. After the quality control of the data, were found 150 tentative markers. The annotation of the markers was achieved by using the internal library, external databases and literature information. Between the Chilean Cabernet Sauvignon quality tentative markers were annotated N-compounds (e.g. peptides), stilbenoids, flavanols, anthocyanins and sulfonated compounds. In conclusion, this study allowed us to find metabolomic pathways and chemical reactions, and therefore propose new hypothesis, which could open new frontiers for the understanding of the Chilean Cabernet Sauvignon quality and terroir effect and provide new tools for the enology of precision in Chile.

DOI:

Publication date: September 24, 2021

Issue: Macrowine 2021

Type: Article

Authors

Vania Sáez,  Álvaro González, Panagiotis Arapitsas. 

Fondazione Edmund Mach.,Doreen Schober. Center for Research, and Innovation, Chile.  Fondazione Edmund Mach, Italy.

Contact the author

Keywords

cabernet sauvignon; quality; metabolomics; stilbenoids; anthocyanins; peptides; terroir

Citation

Related articles…

Assessing bunch architecture for grapevine yield forecasting by image analysis 

It is fundamental for wineries to know the potential yield of their vineyards as soon as possible for future planning of winery logistics. As such, non-invasive image-based methods are being investigated for early yield prediction. Many of these techniques have limitations that make it difficult to implement for practical use commercially. The aim of this study was to assess whether yield can be estimated using images taken in-field with a smartphone at different phenological stages.

Evolution of biogenic amines content in wine during sample conservation – method optimisation for analysis of biogenicamines

The present paper reports the development of an optimized method for simultaneous analysis of
8 biogenic amines (Histamine, Methylamine, Ethylamine, Tyramine, Putrescine, Cadaverine, Phenethylamine, and Isoamylamine). It is based on a method developed by Gomez-Alonso et al. in 2007.

Advanced phenology due to climate change is projected to shift precipitation patterns for key cultivar-region combinations in New Zealand

Context of the study. Shifts in grapevine phenology driven by temperature increase due to climate change may result in different rainfall profiles between phenological stages.

Alcohol preference and health behaviors in patients with cardiometabolic diseases: insights from the multi-center iact cross-sectional study

Recognizing the influence of alcohol preference on health behaviors is essential for developing tailored interventions that effectively promote healthier lifestyles and optimize disease management strategies in the vulnerable population of patients with cardiometabolic diseases (CMD). The present study aims to provide valuable insights into how alcohol preference relates to dietary habits and medication adherence among patients with CMD diseases.

A novel approach for the identification of new biomarkers of wine consumption in human urine using untargeted metabolomics

Wine is one of the most representative components of Mediterranean diet. Moderate wine intake together with food, has been positively correlated with reduced risk of many chronic diseases. This beneficial effect seems to be ascribed to elevated polyphenolic content of wine [1]. Traditional approaches for the identification of wine biomarkers consumption include targeted metabolomics that focuses on the quantification of well-defined metabolites, losing a valuable information about a massive number of compounds. On the other hand, untargeted metabolomics can disclose a large quantity of signals corresponding to potential biomarkers in a single analysis with high sensitivity and resolution.