Macrowine 2021
IVES 9 IVES Conference Series 9 Effect of non-Saccharomyces yeast and lactic acid bacteria on selected sensory attributes and polyphenols of Syrah wines

Effect of non-Saccharomyces yeast and lactic acid bacteria on selected sensory attributes and polyphenols of Syrah wines

Abstract

Consumers predominantly use visual, aromatic and texture cues as quality/preference indicators to describe olfactory sensations. In this study, the effect of micro-organism in wine production was investigated using analytical and sensory techniques to achieve relevant analytical characterisation. Selected anthocyanins, flavan-3-ols, flavonols and phenolic acids were quantified in Syrah wines using RP-HPLC-DAD. Standard oenological parameters were also measured. Syrah grape must was fermented with various combinations of Saccharomyces cerevisiae (S. cerevisiae) and non-Saccharomyces (Metschnikowia pulcherrima or Hanseniaspora uvarum) yeasts, which was followed by sequential inoculation of lactic acid bacteria (LAB) (Oenococcus oeni or Lactobacillus plantarum). Phenolic, sensory and oenological data were positively correlated where the phenolic data differentiated S. cerevisiae yeast, non-Saccharomyces yeast and LAB. Increased phenolic compound concentrations were evident in Syrah wines made with a combination of Saccharomyces, non-Saccharomyces and LAB, compared to wines made with S. cerevisiae only. Wines produced with S. cerevisiae, M. pulcherrima and Oenococcus oeni were higher in flavan-3ols, flavonols and phenolic acids, compared to control wines that were produced using Saccharomyces cerevisiae yeasts only. Syrah wines made with S. cerevisiae, M. pulcherrima and L. plantarum were higher in total anthocyanins, compared to wines inoculated with S. cerevisiae only. The wine sensory attributes, i.e. body and astringency, correlated positively with a combination of LAB and yeast treatments. Wines made with a combination of yeast and bacteria also scored high in overall wine quality. It was shown that S. cerevisiae retained more phenolic compounds during fermentation when compared to wines made with a combination of yeast and LAB treatments during fermentation. Wines produced with non-Saccharomyces yeasts combinations contained lower alcohol levels, compared to wines produced with S. cerevisiae only. None of the treatments produced high VA levels.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Phillip Minnaar*, Heinrich Du Plessis, Neil Jolly, Veruscha Paulsen

*Agricultural Research Council

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Study of the colour and phenolic evolution of three different tannin/anthocyanin ratios over time in a model wine

Phenolic compounds are important quality indicators in red wine. A large number of polyphenols play an important role in wine development, contributing to the colour and the sensory perception of the wines. Anthocyanins are the pigments responsible for the colour in young red wines while tannins are the principal contributors to the bitterness and the astringency of the wines. Wine polyphenols are considered more complex molecules than grape phenolics, due to the enormous number of chemical reactions which take place during the entire winemaking process and storage, forming more stable compounds.

Sensory impacts of the obturator used for the Chasselas: study over the time

Many parameters affect the organoleptic characteristics of wine: internal parameters like the chemical composition or polyphenol content and external as for example storage conditions or the type of obturator. The aim of this study was to characterize sensorally the impacts of several type of obturator on a white wine: Chasselas. To determine the organoleptic characteristics of this wine, a quantitative descriptive analysis could be used. But rapid sensory methods were preferred in this project. Indeed these methods are an appropriate alternative to conventional descriptive methods for quickly assessing sensory product discrimination.

How small amounts of oxygen introduced during bottling and storage can influence the metabolic fingerprint and SO2 content of white wines

The impact of minute amounts of headspace oxygen on the post-bottling development of wine is generally considered to be very important, since oxygen, packaging and storage conditions can either damage or improve wine quality. This is reflected in the generalised use of inert bottling lines, where the headspace between the white wine and the stopper is filled with an inert gas. This experiment aimed to address some open questions about the chemistry of the interaction between wine and oxygen, crucial for decisions regarding optimal closure. While it is known that similar amounts of oxygen affect different wines to a variable extent, our knowledge of chemistry is not sufficient to construct a predictive method.

Novel contribution to the study of mouth-feel properties in wines

In general, there is a well-established lexicon related to wine aroma and taste properties; however mouth-feel-related vocabulary usually includes heterogeneous, multimodal and personalized terms. Gawel et al.
(2000) published a wheel related to mouthfeel properties of red wine. However, its use in scientific publications has been limited. The authors accepted that the approach had certain limitations as it included redundant and terms with hedonic tone and some others were absent. It is of high interest to generate a mouth-feel lexicon and finding the chemical compound or group of compounds responsible for such properties in red wine. In the present work a chemical fractionation method has been developed.

Screening sensory-directed methodology for the selection of non-saccharomyces wine yeasts based on perceived aroma quality

The present work contributes by developing a rapid sensory-directed methodology for the screening and selection of high quality wines with different sensory profiles Therefore, Verdejo and Tempranillo musts were fermented with 50 different yeasts each under controlled laboratory conditions. Resulting samples were firstly categorized according to five levels of quality by a panel of wine professionals (Sáenz-Navajas, Ballester et al. 2013). Higher quality samples were described by flash profiling by a semi-trained panel
(Valentin, Chollet et al. 2012) and most distinctive samples were screened by gas chromatography-olfactometry (GC-O) (López, Aznar et al. 2002).