OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 OENO IVAS 9 OENO IVAS 2019 9 Analytical developments from grape to wine, spirits : omics, chemometrics approaches… 9 A new graphical interface as a tool to integrate data from GC-MS and UPLC-MS-QTOF: new compounds related with port wine aging

A new graphical interface as a tool to integrate data from GC-MS and UPLC-MS-QTOF: new compounds related with port wine aging

Abstract

Port wine value is related to its molecular profile resulting from the changes occurring during the ageing period. It is of empirical knowledge that the style is greatly affected by the oxidation regimens, i.e. bottle versus barrel storage. The final quality is rated based on sensory evaluation and the correspondent chemical profile remains largely unknown. This lack of knowledge and understanding significantly limits the ability to improve/drive Port Wine quality and consistency. 

Unravelling the chemical changes, occurring during ageing, that are responsible for the wine flavour, constitutes a critical task when one attempts to address issues related to authenticity and sensory quality. 

It has been demonstrated that some key odorants play a critical role in the perceived oxidized character of wines (1, 2). Nevertheless, the mechanisms for these key odorants formation are not fully understood; only that temperature and mainly oxygen have a synergistic impact on their formation (3). Recently it has been demonstrated that Strecker degradation substrates such as: phenolics, sugars and metals can interact resulting in a unpredictable formation of flavour molecules. 

In order to have an holistic view of the chemical system a pipeline was developed based on UPLS-MS-QTOF and GC-MS data acquisition followed by data fusion. The process is hyphenated with an in-house peak picking interface, coupled with multi- and -univariate statistics to get the most relevant compounds related in this case with Ports stored from 1 to 150 years old. 

In this work the “omics” interface was validated with a set of 37 wines; 42 biomarkers were extracted from GC-MS and 152 from UPLC-MS-QTOF. 

The development of tools such as network reconstruction provided considerable amount of information that contributed to the understanding of the kinetic contexts of the molecules (through ageing time). Clusterization of volatiles and non-volatile compounds brought further new information regarding the interaction between mechanisms and new compounds were identified, such as: SO2-phenolics reactions, phenolics-phenolics , phenolics-aldehydes, amongst other. 

This network-driven approach, integrating data from different equipment’s. has proven to be an useful tool in identifying compounds of interest related to changes occurring during food storage or ageing processes, as well as in better understanding the drivers of quality and authenticity in the final product.

DOI:

Publication date: June 19, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Ana Rita Monforte, Sara Martins, António César Silva Ferreira

Wageningen University, The Netherlands. Unilever R&D Vlaardingen, 3130 AC Vlaardingen, The Netherlands
Universidade Católica Portuguesa, CBQF – Centro de Biotecnologia e Química Fina. – Laboratório Associado, Escola Superior de Biotecnologia – Rua Arquiteto Lobão Vital, 172 4200-374 Porto

Contact the author

Keywords

data-fusion, Port, ageing, omics 

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Grapevine nitrogen retrieval by hyperspectral sensing at the leaf and canopy level

Grapevine nitrogen (N) monitoring is essential for efficient N management plans that optimize fruit yield and quality while reducing fertilizer costs and the risk of environmental contamination. Unlike traditional vegetative-tissue sampling methods, remote sensing technologies, including hyperspectral imaging, have the potential to allow monitoring of the N status of entire vineyards at a per-vine resolution. However, differential N partitioning, variable spectral properties, and complex canopy structures hinder the development of a robust N retrieval algorithm. The present study aimed to establish a solid understanding of vine spectroscopic response at leaf and canopy levels by evaluating the different nitrogen retrieval approaches, including the radiative transfer model.

New oenological criteria for selecting strains of Lachancea thermotolerans for wine technology

The study conducted various fermentations of different grape juices using various strains of Lachancea thermotolerans and one strain of Saccharomyces cerevisiae. Because of the new conditions caused by climate change, wine acidity must be influenced as well as the volatile profile. Non-Saccharomyces yeasts such as L. thermotolerans are real options to mitigate the impact of climate change in wine production.

A climatic characterisation of the sub-Appellations in the Niagara Peninsula wine region

This study used climatic and topographic data to characterize the sub-appellations that have been recently delineated in the Niagara Peninsula viticulture area in order to assess their potential for ripening early to late season Vitis vinifera varieties. No major differences were found in the ripening-period mean temperatures, but major differences in the diurnal temperature ranges were observed.

Enzymes Impact During Fermentation On Volatile And Sensory Profile Of White Wines

Favoring the formation of volatile compounds and their precursors in must and wine represent one of the principal goals during winemaking technology. In recent years, most attention has been placed on using glycosidases to enlarge the aroma profile of white wines. The effect of enzymes makes odorless glycosidically-bound precursors be converted into aromatic compounds. This paper focuses to study the influence of enzymes (pectolytic and β-glycosides) administered before alcoholic fermentation, even if most studies analyze their use in different winemaking stages. Two semi-aromatic varieties such as Fetească regală and Sauvignon blanc were chosen.

Geospatial trends of bioclimatic indexes in the topographically complex region of Barolo DOCG

Barolo DOCG is an economically important wine producing region in Northwest Italy. It is a small region of approximately 70 km2 gross area. The topography is very complex with steep sloped hills ranging in elevation from below 200 m to 550 m. Barolo DOCG wine is made exclusively from the Nebbiolo grape. Bioclimatic indexes are often used in viticulture to gain a better understanding of broader climate trends which can be compared temporally and geographically. These indexes are also used for identifying potential phenological timing, growing region suitability, and potential risks associated with expected climatic changes. Understanding how topography influences bioclimatic indexes can help with understanding of mesoscale climate behaviour leading to improved decision making and risk management strategies. The average monthly maximum and minimum temperatures, the Cool Night Index, the Huglin Index, and the monthly diurnal range (from July to October) were calculated using data from 45 weather stations within a 40 km radius of the Barolo DOCG growing area between the years 1996 and 2019. Linear and multiple regression models were developed using independent variables (elevation, aspect, slope) extracted from a digital elevation model to identify significant relationships. Bioclimatic indexes were then kriged with external drift using independent variables that showed significant relationships with the bioclimatic index using a 100 m resolution grid. The maximum monthly temperatures and the Huglin Index showed consistent significant negative relationships with elevation in all years. The minimum monthly temperatures showed no relationship with elevation but in some months a small but significant relationship was observed with aspect. Due to the lack of a relationship between minimum monthly temperatures and elevation compared to the significant relationship between maximum monthly temperatures and elevation, monthly diurnal range had a negative relationship with elevation.