Terroir 2020 banner
IVES 9 IVES Conference Series 9 Regional discrimination of shiraz using targeted and non-targeted analytical approaches

Regional discrimination of shiraz using targeted and non-targeted analytical approaches

Abstract

Aims: Shiraz is the most widely cultivated grape variety in Australia, and is grown under a range of viticultural and climatic conditions. Given its importance to the Australian wine sector, a number of studies have been conducted in recent years which involved a comprehensive assessment of grape composition, in order to objectively predict wine quality and style outcomes. It was of interest to reanalyse this compositional database to determine if regional variation in Shiraz composition exists, and if so, to identify analytical approaches which might best discriminate the response of this variety to the unique growing conditions imposed by regional or sub-regional variables. 

Methods and Results: For a preliminary regional study, Shiraz grapes were obtained from multiple geographical indices within South Australia, and analysed for a range of targeted volatile and non-volatile compounds, as well as by non-targeted near- and mid-infrared approaches. Using multivariate modelling, it was found that data generated using both the targeted and non-targeted analytical approaches could discriminate the samples on a regional basis. For a focused study on site diversity within the Barossa Valley, Shiraz grape samples were collected from a number of sub-regions, and from multiple locations within each vineyard (5-10). Grapes were micro-vinified, and grape and wine samples were further analysed for non-volatiles using targeted and non-targeted approaches. Grape samples were also assessed using near- and mid-infrared spectroscopy. It was found using the targeted analytical approach that within-vineyard variability exceeded between-vineyard variation for some measures, preventing discrimination of vineyards or sub-regions using multivariate modelling. However, using the data generated from multiple non-targeted analytical approaches, within-vineyard variation was substantially reduced. This enabled Shiraz vineyards to be clearly defined using a non-targeted ‘chemical fingerprint’ and showed some potential to discriminate the Barossa sub-regions. Mass spectra generated using the non-targeted profiling approach were further assessed, and enabled the identification of grape-derived compounds which were relevant to the sub-regional response. 

Conclusion:

Non-targeted profiling of grapes and wines showed the potential to discriminate geographical indices (region) as well as sites within a region, even though absolute differences in grape composition could be substantial. This indicates that certain aspects of grape chemistry are more sensitive to site- or region-specific variables than others. Further work could seek to identify individual compounds, or classes of compounds, which most consistently define the ‘terroir’ response for the Shiraz grape variety. 

Significance and Impact of the Study: Using the results of this study, new methods could be developed to quantify the relevant grape or wine metabolites identified using the non-targeted approach, in order to apply these more broadly within studies which seek to objectively characterise ‘terroir’.

DOI:

Publication date: March 16, 2021

Issue: Terroir 2020

Type: Video

Authors

Keren Bindon1*, Paul Smith1,2, Dylan Grigg3, Natoiya Lloyd1, Luca Nicolotti1, Jean Macintyre4, Roberta De Bei3, Cassandra Collins3

1The Australian Wine Research Institute, PO Box 197, Glen Osmond, SA 5064, Australia
2Wine Australia, Industry House-National Wine Centre, Cnr Hackney and Botanic Roads, SA 5000, Australia
3The University of Adelaide, PMB 1, Glen Osmond, SA, 5064, Australia
4Pernod Ricard Winemakers, 1914 Barossa Valley Way, Rowland Flat, SA, 5352, Australia

Contact the author

Keywords

Shiraz, objective measures, grape and wine quality

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

METHYL SALICYLATE, A COMPOUND INVOLVED IN BORDEAUX RED WINES PRODUCED WITHOUT SULFITES ADDITION

Sulfur dioxide (SO₂) is the most commonly used additive during winemaking to protect wine from oxidation and from microorganisms. Thus, since the 18th century, SO₂ was almost systematically present in wines. Recently, wines produced without any addition of SO₂ during all the winemaking process including bottling became more and more popular for consumers. A recent study dedicated to sensory characterization of Bordeaux red wines produced without added SO₂, revealed that such wines were perceived differently from similar wines produced with using SO₂ and were characterized by specific fruity aromas and coolness1,2.

Barbera d’Asti: the characterization of the vineyard sites

[English version below]

L’objectif de l’étude est de mettre en évidence les différences rencontrées entre les vins Barbera d’Asti, qui sont produits en AOC. Celles-ci sont imputées aux terroirs caractérisés selon les facteurs pédologiques, climatiques, et qui conduisent à des différents potentiels viticoles et œnologiques. Il est proposé une individualisation des sous-zones.

Effects of progeny in the modulation of the response to water stress in isohydric and anisohydric varieties

Each grapevine variety has a specific water use regulation response under drought, and it is still unclear whether this regulation results from innate genotypic behavior (iso- and anisohydric), or is a response to environmental factors, namely recurrent water stress priming effects. In the present work, we explored the influence of the field-grown genotypes’ drought memory in the drought-response phenotype of their vegetative progenies, in Trincadeira (isohydric) and Castelão (anisohydric) varieties under a drought event followed by recovery in a glasshouse. Cuttings from both cultivars subjected to full irrigation (FI) and non-irrigation (NI) treatments for 5 consecutive years were used.

Detection of spider mite using artificial intelligence in digital viticulture

Aim: Pests have a high impact on yield and grape quality in viticulture. An objective and rapid detection of pests under field conditions is needed. New sensing technologies and artificial intelligence could be used for pests detection in digital viticulture. The aim of this work was to apply computer vision and deep learning techniques for automatic detection of spider mite symptoms in grapevine under field conditions. 

Different strategies for the rapid detection of Haze‐Forming Proteins (HFPs)

Over the last decades, wine analysis has become an important analytical field, with emphasis placed on the development of new methodologies for characterization and elaboration control.