Macrowine 2021
IVES 9 IVES Conference Series 9 Use of computational modelling for selecting adsorbents for improved fining of wine

Use of computational modelling for selecting adsorbents for improved fining of wine

Abstract

The occurrence of faults and taints in wine, such as those caused by microbial spoilage or various taints, have resulted in significant financial losses to wine producers. The wine industry commits significant financial resources towards fining and taint removal processes each year. Fining involves the addition of one or more adsorptive substrates to juice or wine to bind certain components, thus reducing their concentration [1]. However, these processes are often not selective and can also remove desirable flavour and aroma compounds. Computational modelling techniques have not previously been exploited by the wine sector but have been used in other fields to predict the behaviour of target compounds with selected substrates. This study aimed to better elucidate the binding interactions between wine components (both desirable and undesirable) and common adsorbents through computational modelling and laboratory scale fining trials in order to improve the selection of adsorbents for specific fining or taint removal applications. The binding energies for a range of volatile compounds associated with common wine faults and taints, including guaiacol, 4-methylguaiacol, cresols and syringol (smoke taint), 4-ethylguaiacol and 4-ethylphenol (Brettanomyces spoilage), 3-isobutyl-2-methoxypyrazine (IBMP; ladybird taint), geosmin and methylisoborneol (fungal taint) and trichloroanisole (cork taint), as well as volatiles associated with varietal aroma and flavour, including esters, C13-norisoprenoids and monoterpenes, or oak maturation, including cis- and trans-oak lactone, vanillin and eugenol, were calculated against a range of adsorbent substrates, including bentonite, polyvinylpolypyrrolidone (PVPP) and α-cyclodextrin (α-CD) using the density functional theory as implemented in FHI-aims, a software package for atomic scale materials modelling. The computational data suggests that α-CD could be used to selectively remove a variety of different molecules but it is less suitable for removal of IBMP. In fact, the strongest interaction comes from materials with strong hydrogen bonding systems, such as eugenol and vanillin. PVPP is a purely hydrogen-bonding sponge. It actively excludes substrates which do not hydrogen bond very well; thus, it has a very high selectivity for vanillin, and other molecules with pendant hydroxyl functionalities in a non-sterically limited environment (such as certain phenols). This presentation will comprise results from computational modelling experiments and fining experiments conducted in the laboratory. Quantitative chemical analysis of wine volatiles before and after fining treatment enables predictions based on computational approaches to be evaluated.

1. Castellari, M., Versari, A., Fabiani, A., Parpinello, G.P. and Galassi, S. (2001) Removal of ochratoxin A in red wines by means of absorption treatments with commercial fining agents. Journal of Agricultural and Food Chemistry, 49, 3917–3921.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Article

Authors

Julie Culbert*, Christopher Hendon, Kerry Wilkinson

*University of Adelaide

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

DNA and type of grain: which factor does better explain sensory differences of sessile and pedunculate oaks?

Sessile oak and pedunculate oak have shown several differences of interest for enological purposes. Tannic and aromatic composition among sessile oak or pedonculate oak has been well studied. Sessile oak is generally more aromatic than pedunculated, while the later is more tannic. This scientific point of view is rarely applied to classify oak in cooperages. Most coopers use the type of grain to distinguish wide and thin grain.

Some applications come from a method to concentrate proteins

All techniques usually used to assay proteins was not reliable in vegetable extract due to interferences with the components included in extracts like polyphenols, tanins, pectines, aromatics compounds. Absorbance at 280nm, Kjeldhal assay, Biuret and Lowry methods, Acid Bicinchonique technique and Bradford assay give the results depending on the composition of extract, on the presence or not of detergent and on the raw material (Marchal, 1995). Another difficulty in these extracts for the quantification of proteins comes from the large amount of water included in vegetable and the low concentration of proteins. Thus in red wines, proteins are usually not taken into account due to their low concentration (typically below 10 mgL-1) and to the presence of anthocyanis and polyphenols.

Quantification of red wine phenolics using ultraviolet-visible, near and mid-infrared spectroscopy combined with chemometrics

The use of multivariate statistics to correlate chemical data to spectral information seems as a valid alternative for the quantification of red wine phenolics. The advantages of these techniques include simplicity and cost effectiveness together with the limited time of analysis required. Although many
publications on this subject are nowadays available in the literature most of them only reported feasibility
studies. In this study 400 samples from thirteen fermentations including five different cultivars plus 150
wine samples from a varying number of vintages were submitted to spectrophotometric and chromatographic phenolic analysis.

The impact of branched chain and aromatic amino acids on fermentation kinetics and aroma biosynthesis by wine yeast Saccharomyces cerevisiae

One of the major determinants of wine quality is the aroma. Wine aroma is the human perception of the matrix of grape and yeast derived volatiles and their interaction that contribute to flavour wine. Most common are higher alcohols, ester and aldehydes. In previous studies the formation of characteristic volatile compounds have been linked to the metabolism of branched-chain and aromatic amino acids
(BCAAs) in synthetic grape must. Here we report on an investigation to assess the impact of the initial amino acid concentration on the production of aroma compounds by the industrial yeast VIN13 grown in both synthetic and real grape musts.

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.