IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Development of analytical sampling technique to study the aroma profile of Pinot Noir wine

Development of analytical sampling technique to study the aroma profile of Pinot Noir wine

Abstract

A novel and efficient Dispersive Liquid-Liquid Microextraction (DLLME) method coupled with gas chromatography–mass spectrometry (GC–MS) was developed to determine 33 key aroma compounds (esters, alcohols, aldehydes, terpenes, norisoprenoids, fatty acids and phenols) present in Pinot noir (PN) wine. Four critical parameters including extraction solvent type, disperse solvent type, extraction solvent volume and disperse solvent volume were optimised with the aid of D-optimal design. Linearity of standard calibration curves created with the optimised method was satisfactory (with correlation coefficients over 0.9917), and repeatability and reproducibility were better than 10% for all targeted analytes. The limits of detection and the limits of quantification were at very low levels (µg L-1), covering the range of expected concentrations for targeted compounds in PN wine. Finally, the developed method was successfully applied to analyse 12 New Zealand PN wines. To our knowledge, this is the first time DLLME has been applied simultaneously to determine all the above aroma compounds present in PN wine. The developed DLLME method is a fast, straight-forward and low-cost method that is more environmentally-friendly than other common volatile extraction methods. 

DOI:

Publication date: June 24, 2022

Issue: IVAS 2022

Type: Poster

Authors

Katugampala Appuhamilage Dinesha Hansamali Perera1, Fedrizzi Bruno1, Pilkington Lisa Ivy1, Jelley Rebecca Eleanor1, Sherman Emma2 and Pinu Farhana R.2

1University of Auckland
2Plant and Food Research, New Zealand

Contact the author

Keywords

Wine, Dispersive liquid–liquid microextraction (DLLME), D-optimal design, Gas chromatography–mass spectrometry, aroma compounds

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Using a grape compositional model to predict harvest time and influence wine style

Linking wine composition to fruit composition is difficult due to the numerous biochemical pathways and substrate transformations that occur during fermentation

Unveiling the fungal diversity of Falanghina grapes and the role of autochthonous Saccharomyces and non-Saccharomyces yeasts in wine fermentation

Falanghina, a typical wine from the Sannio (Campania region, Italy), hosts a complex fungal microbiota that significantly influences both fermentation dynamics and sensory characteristics.

Modelling vine water stress during a critical period and potential yield reduction rate in European wine regions: a retrospective analysis

Most European vineyards are managed under rainfed conditions, where seasonal water deficit has become increasingly important. The flowering-veraison phenophase represents an important period for vine response to water stress, which is seldomly thoroughly evaluated. Therefore, we aim to quantify the flowering-veraison water stress levels using Crop Water Stress Indicator (CWSI) over 1986–2015 for important European wine regions, and to assess the respective potential Yield Lose Rate (YLR). Additionally, we also investigate whether an advanced flowering-veraison phase may help alleviating the water stress with improved yield. A process-based grapevine model STICS is employed, which has been extensively calibrated for flowering and veraison stages using observed data at 38 locations with 10 different grapevine varieties. Subsequently, the model is being implemented at the regional level, considering site-specific calibration results and gridded climate and soil datasets. The findings suggest wine regions with stronger flowering-veraison CWSI tend to have higher potential YLR. However, contrasting patterns are found between wine regions in France-Germany-Luxembourg and Italy-Portugal-Spain. The former tends to have slight-to-moderate drought conditions (CWSI<0.5) and a negligible-to-moderate YLR (<30%), whereas the latter possesses severe-to-extreme CWSI (>0.5) and substantial YLR (>40%). Wine regions prone to a high drought risk (CWSI>0.75) are also identified, which are concentrated in southern Mediterranean Europe. An advanced flowering-veraison phase may have benefited from cooler temperatures and a higher fraction of spring precipitation in wine regions of Italy-Portugal-Spain, resulting in alleviated CWSI and moderate reductions of YLR. For those of France-Germany-Luxembourg, this can have reduced flowering-veraison precipitation, but prevalent alleviations of YLR are also found, possibly because of shifted phase towards a cooler growing season with reduced evaporative demands. Overall, such a retrospective analysis might provide new insights towards better management of seasonal water deficit for conventionally vulnerable Mediterranean wine regions, but also for relatively cooler and wetter Central European regions.

Spatial suitability analysis for site selection of vineyards using biophysical models and computational intelligence

Developing a sustainable agricultural production system and acquiring the full potential of land resources requires employing land-use assessment. This entails knowledge of the climate, soil, and topography of the area of interest.

Xylem vessel blockages in grape pedicel growing in tropical climate observed by microtomography

In grape berry pedicel, xylem hydraulic conductance can be impaired by blockage deposition in the lumen of xylem elements. However, the varietal difference of the interruptions has not yet been characterized. In this preliminary work, we utilized synchrotron x-ray computed microtomography experiments performed at MOGNO beamline (LNLS – Brazil) to identify possible blockage sites in natural grape pedicel xylem. For this, we imaged dehydrated pedicel’s stem portion from the Niagara Rosada variety in three different phenological stages (Pre-veraison (PreV), veraison (V) and post-veraison (PostV). The reconstructed tridimensional images with a voxel size of 1.16 µm were segmented for the identification of xylem vessel lumens. After analysing one pedicel stem per stage, we identified 658 vessels without occlusion throughout his axial plane and 41 in which we could identify possible interruptions.