OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 OENO IVAS 9 OENO IVAS 2019 9 Analysis and composition of grapes, wines, wine spirits 9 Trials with machine harvested sauvignon blanc: the importance of grape transport time and temperature

Trials with machine harvested sauvignon blanc: the importance of grape transport time and temperature

Abstract

It is well known that free varietal thiols, in particular 3-mercaptohexanol (3MH) and 3-mercaptohexyl ace-tate (3MHA), are important constituents to the aroma of New Zealand Sauvignon blanc wines. This along with the popular practice of machine harvesting in New Zealand were the motivation for the following two pilot studies.
Firstly, it was examined if the presence of 3MH and 3MHA could be influenced by a change in transporta-tion time of machine harvested grapes. This came about as it was noticed that some Marlborough wineries process grapes incoming from multiple growing regions. Here, the thiol precursor contents, Glut-3MH and Cys-3MH, of 21 lab scale wines were examined after experiencing different simulated transportation times (0, 1.5, 3 and 4.5 h).

Results suggested that significant (p < 0.05) increases in the amount of Cys-3MH and Glut-3MH for some of the treatments associated to longer transportation times was possible. However, after fermentation while some of the experimental wines did not display any significant difference between the transportation times trialled, others displayed an opposite (downward) trend for the presence of 3MH and 3MHA across the increasing time points.

Secondly, as machine harvesting can occur throughout the day and night, of which atmospheric changes in temperature are anticipated, it was hypothesised that the skin contact taking place due to the nature of the machine harvesting can occur at different temperatures. For this study a holding period of 2h was chosen to represent the transport time of harvested grapes to a processing winery while the grape holding tempera-tures investigated were 6, 15 and 24 °C. Cys-3MH and Glut-3MH were quantified both before and after the different temperature treatments of the machine harvested grapes. ANOVA and Tukey HSD did not reveal any significant (p > 0.05) differences in thiol precursor levels before the 2h holding period. However, after this time a significant difference (p < 0.05) between the 6 and 15°C for both Cys-3MH and Glut-3MH was established. Following fermentation, the levels of 3MH and 3MHA were also quantified and revealed similar levels of these thiols between all of the experimental wines with no significant differences (p > 0.05) detec-ted between the holding temperatures investigated.

DOI:

Publication date: June 10, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Katie Parish-Virtue 1, Mandy Herbst-Johnstone 1, Flo Bouda 2, Rebecca Deed 1, and Bruno Fedrizzi 1, Claire Grose 3, Mandy Herbst-Johnstone 1, Damian Martin 3

1) Wine Science Programme, School of Chemical Sciences, The University of Auckland, Private Bag 92019, Auckland, New Zealand
2) Delegat Limited, 172 Hepburn Rd, Henderson, Auckland, New Zealand
3) Viticulture and Oenology Group, The New Zealand Institute for Plant and Food Research Ltd, Blenheim, New Zealand

Keywords

Transport time, Temperature, Machine harvesting, Thiols, Sauvignon blanc 

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Utilisation de données historiques pour caractériser le millésime en cours

Cet article propose la formalisation d’un modèle paramétrique pour représenter l’accumulation des sucres dans les baies de raisin durant la maturation. Le test de ce modèle sur des jeux de données réels a permis de valider l’approche proposée. Une seconde partie est axée sur l’adaptation de la méthode pour permettre la simulation du comportement du millésime en cours dès les premiers relevés de maturité. Ce travail possède de multiples applications dans le domaine de l’aide à la décision.

Brettanomyces bruxellensis, born to live

The wine spoilage yeast Brettanomyces bruxellensis can be found at several steps in the winemaking process due to its resistance to multiple stress conditions. Among the resistance strategies, one could be the formation of biofilm, a lifestyle known to enhance persistence of microorganisms. In this study, we propose to characterize biofilm of B. bruxellensis in wine, especially through several microscopic analyses.

Multivariate strategies for red wines classification using stilbenes and flavonols content

Bioactive polyphenols from grapes and wines, like stilbenes and flavonols (SaF), are often determined to nutritional evaluation, but also for many other purposes. The objective of this study was to quantify SaF in red wines from “Campanha Gaúcha”, a large and young viticultural region from South Brazil. Moreover, through statistical analysis, evaluate the influence of these compounds according to varieties, production process, harvest years and micro-regions of cultivation. A total of 58 samples of red wines were analyzed by high-performance liquid chromatography coupled to diode array detector (HPLC-DAD) for determination of trans-resveratrol (R), quercetin (Q), myricetin (M), kaempferol (K), trans-e-viniferin (V) and their precursor, cinnamic acid (C).

A comprehensive ecological study of grapevine sensitivity to temperature; how terroir will shift under climate change

Fossil fuel combustion continues to drive increases in atmospheric carbon dioxide, consequently elevating the global annual mean temperature and specifically increasing the growing season temperatures in many of the world’s most important wine growing regions (IPCC 2014; Jones et al 2005). Grapes are sensitive to changes in growing season temperatures, and past models have shown a direct link between warming temperatures and earlier harvest dates (Cook and Wolkovich 2016). Globally, there have been shifts of 1-2 weeks for wine growing regions (Wolkovich et al 2017 and references within). The phenological shifts resulting from growing season temperature increases are documented internationally, and models predicting phenology using temperature are becoming more precise (Parker et al 2011).

Modeling from functioning of a grape berry to the whole plant

Grape quality is a complex trait that mainly refers to berry chemical composition, including sugars, organic acids, phenolics, aroma and aroma precursor compounds.