Macrowine 2021
IVES 9 IVES Conference Series 9 Evaluation of Polarized Projective Mapping as a possible tool for attributing South African Chenin blanc dry wine styles

Evaluation of Polarized Projective Mapping as a possible tool for attributing South African Chenin blanc dry wine styles

Abstract

Multiple Factor Analysis (MFA) According to the Chenin blanc Association of South Africa, there are three recognized dry wine styles, Fresh and Fruity (FF), Rich and Ripe Unwooded (RRU), and Rich and Ripe Wooded (RRW), classically attributed with the help of sensory evaluation. One of the “rapid methods” has drawn our attention for the purpose of simplifying and making style attribution for large sample sets, evaluated during different sessions, more robust. Polarized Projective Mapping (PPM) is a hybrid of Projective Mapping (PM) and Polarised Sensory Positioning (PSP). It is a reference-based method in which poles (references) are used for the evaluation of similarities and dissimilarities between samples. Panelists are presented with “free-moving” products to arrange around the poles, according to similarities and dissimilarities, to create a 2D product map. Additionally, the judges give a description of the samples, generating a short list of attributes. Our approach to testing this method was to first establish the poles using PM, then test the model using PPM with samples that were either known (used in the PM session and that contributed to the choice of poles) or unknown. The sample set consisted of 18 commercial Chenin blanc wines, vintages 2013 and 2014, from the three representative styles, chosen according to the tasting notes description. Four PPM experiments were performed. The poles were kept constant among the PPM experiments, while different combinations of “free-moving” wines were evaluated to test the consistency of product groupings. In all tasks sensory descriptors were generated. For each session 15 judges were recruited. Each judge repeated the exercise after a 15 minute break. For PM the sample set consisted of 12 samples (9 wines, 3 of them duplicates). For PPM, the sample sets also had 12 samples, with one of the poles and one other sample duplicated. The PPM sessions were organized as follows: PPM1 same samples as PM, PPM2 and PPM3 half known and half unknown samples, and PPM4 only unknown samples. The data generated was evaluated statistically by means of multiple factor analysis (MFA). Multiple factor analysis (MFA) on the individual tasks showed in the PM and all four PPM tasks, the RRW group separated most clearly from other wines and blind duplicates of this style grouped well together. The FF and RRU styles grouped less consistently from one task to another and blind duplicates were not grouped as closely to one another. MFA results comparing all four PPM experiments showed good repeatability in grouping of wines among the separate sessions, especially for wooded wines. New rapid methods provide significant cost benefits for the wine industry and researchers. PPM may be a useful tool for researchers to apply in the analysis of large sample sets of wines.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Astrid Buica*, Christine Wilson, Jeanne Brand

*Stellenbosch University

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Petrolomics-derived data interpretation to study acetaldehyde-epicatechin condensation reactions

During red wine ageing or conservation, color and taste change and astringency tends to reduce. These changes result from reactions of flavan-3-ols and/or anthocyanins among which condensation reactions with acetaldehyde are particularly important. The full characterization of these reactions has not been fully achieved because of difficulties in extracting and separating the newly formed compounds directly from wine. Model solutions mimicking food products constitute a simplified medium for their exploration, allowing the detection of the newly formed compounds, their isolation, and their structure elucidation.

Non-invasive headspace sorptive extraction for monitoring volatile compounds production by saccharomyces and non-saccharomyces strains throughout alcoholic fermentation

Wine is a solution containing abundant volatile compounds which contribute to their aroma. Many of them are produced by yeast as metabolism by-products. Different yeast strains produce different volatile profiles. The possibility of studying the evolution of volatile compounds during fermentation, using sampling methods that not alter the volume of fermentation media, is of great interest. In spite of this, non-invasive methods to monitoring the evolution of volatile profile during fermentation have been seldom used. The goals of this work were to use by first time the headspace sorptive extraction (HSSE) as non-invasive method to monitor the evolution of volatile profiles throughout alcoholic fermentation and to study the changes on volatile profiles produced by Saccharomyces cerevisiae and Lachancea thermotolerans during fermentation of a must with high sugar content.

Impact of non-fruity compounds on red wines fruity aromatic expression: the role of higher alcohols

A part, at least, of the fruity aroma of red wines is the consequence of perceptive interactions between various aromatic compounds, particularly ethyl esters and acetates, which may contribute to the perception of fruity aromas, specifically thanks to synergistic effects.1,2 The question of the indirect impact of non-fruity compounds on this particular aromatic expression has not yet been widely investigated. Among these compounds higher alcohols (HA) represent the main group, from a quantitative standpoint, of volatiles in many alcoholic beverages. Moreover, some bibliographic data suggested their contribution to the aromatic complexity by either increasing or masking flavors of wine, depending of their concentrations.

Fingerprinting the origin of rosé wines with a new high throughput polyphenomics method

Wine is a widely consumed alcoholic beverage with a high commercial value. More specifically, the worldwide consumption of rosé wine has increased by 20% since 2002[1]. But because of its high commercial value, it can become a subject of fraud, and authenticity control is necessarily required. More than one hundred polyphenols have been recently quantified in various rosé wines [2]. They are key components defining color, taste and quality of wines. Their amount and composition depend on many different factors such as grape variety, winemaking and age of the wine. In this study, the influence of geographic origin of some rosé French wines was investigated. An original and very fast UPLC-QTOF-MS method was developed and used to predict the geographic origin authenticity of rosé wines.

Prevention of wine oxidation during barrel aging: an innovative method to measure antioxidant

Wine oxidation is a problem that affects the freshness, the aromatic profile, the colour and also the mouthfeel of the wine. It mainly concerns white wines. Oxygen interactions with wine compounds lead to the phenomena cited above that are responsible for the depreciation of these wines. Barrel aging is a crucial step in the wine process because it allows many modifications as wine enrichment, colour stabilization, clarification and also a slow oxygenation of the wine. Effects of the oak barrel have to be known to prevent oxidation of the wine. We have been interested in the main antioxidant compounds released by oak barrels to the wine and we have developed an innovative method to reach directly these antioxidant compounds at the oak stave surface.