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…

Analysis of off flavours in grapes infected with the fungal bunch rot pathogens, Aspergillus, Botrytis and Pencillium

Fungal bunch rots of grapes cause major losses to grape yield worldwide, yet the impact these moulds have on grape and wine quality is not well characterised. We sought to investigate the formation of unwanted volatile compounds of fungal origin in both synthetic grape juice culture media and in inoculated grape berries. Botrytis cinerea, Aspergillus niger, Aspergillus carbonarius, or Pencillium expansum were grown in synthetic grape juice medium and the culture homogenates analysed 4 and 7 days post inoculation. HS-SPME-GC-MS analysis of the culture homogenates 4 days post inoculation demonstrated that each of the fungi examined produced varying quantities of the mushroom or fungus-like aroma compounds, 1-Octen-3-ol, 1-Octen-3-one and 3-Octanone with A. carbonarius producing up to ten times the amounts of all three metabolites per mg of dry mycelium.

South Africa’s top 10 Sauvignon blanc wines. How do the chemical and sensory profiles compare?

FNB Top 10 Sauvignon Blanc competition, presented by the Sauvignon Blanc Interest Group of South Africa and sponsored by First National Bank, is the country’s foremost platform for producers of this cultivar to showcase and benchmark their wines. Wines entered in the competition originated from all over the winegrowing regions of the country and the winning wines showed good representation of quality South African Sauvignon blanc wines. The ten selected wines were subjected to various chemical analyses including volatile thiol and methoxypyrazine determination, while the sensory profile of each wine was determined using projective mapping.

New biological tools to control and secure malolactic fermentation in high pH wines

Originally, the role of the malolactic fermentation (MLF) was simply to improve the microbial stability of wine via biological deacidification. However, there is an accumulation of evidence to support the fact that lactic acid bacteria (LAB) also contribute positively to the taste and aroma of wine. Many different LAB enter into grape juice and wine from the surface of grape berries, cluster stems, vine leaves, soil and winery equipment. Due to the highly selective environment of juices and wine, only a few types of LAB are able to grow.

The effect of Nitrogen and Sulphur foliar applications in hot climates

ine nitrogen deficiency can negatively influence the aroma profile and ageing potential of white wines. Canopy management can alter vine microclimate, affect the nitrogen availability and influence the response of leaf senescence. Increasing the nitrogen availability to vines can increase the Yeast Assimilable Nitrogen (YAN) levels in harvested fruit and wine. Studies show that foliar nitrogen and sulphur applications at véraison, on low YAN Sauvignon blanc grapes have an effect on the level of amino acids (Jreij et al. 2009) and on S-containing compounds such as glutathione and thiols (Lacroux et al. 2008), which in turn can influence the formation of major volatiles and the aroma profile of the wine.

Modulating role of SO2 in white wine protein haze formation

Despite the extensive research performed during the last decades, the multifactorial mechanism responsible for the white wine protein haze formation is not fully characterized. Herein, a new model is proposed, which is based on the experimental identification of sulfur dioxide as a major modulating factor inducing wine protein haze upon heating. As opposed to other reducing agents, such as 2-mercaptoethanol, dithiothreitol and tris(2-carboxyethyl)phosphine hydrochloride (TCEP), the addition of SO2 to must/wine upon heating cleaves intraprotein disulfide bonds, hinders thiol-disulfide exchange during protein interactions and can lead to the formation of novel inter/intraprotein disulfide bonds. Those are eventually responsible for wine protein aggregation which follows a nucleation-growth kinetic model as shown by dynamic light scattering [1].