IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Effect of different pH values on the interaction between yeast mannoproteins and grape seed flavanols

Effect of different pH values on the interaction between yeast mannoproteins and grape seed flavanols

Abstract

The consequences of the global climate change in the vitiviniculture are revealed as a gap between phenolic and technological grape maturities, higher grape sugar concentration that leads to high wine alcohols levels, lower acidities and high pH values, among others. The unbalanced phenolic maturity caused in this scenario leads to harsh astringency and to instable colour of wines. Previous studies have reported that the addition of yeast mannoproteins (MPs) to wines may have positive effects on these two organoleptic properties due to their capability to interact with wine polyphenols [1]; however, studies about the effect of the pH on these interactions have not been carried out so far.

 MPs are located in the outer layer of yeast cell wall (Saccharomyces cerevisiae) and they are naturally released into the wine during alcoholic fermentation when yeast is actively growing or during aging when cell wall breaks down in the process known as autolysis. Also, commercial MPs can be added during winemaking and/or ageing. The aim of this work was to study the effect of different pH values (pH 3.0 and 4.0) on the interactions between a flavanol extract from Vitis vinifera L. Tempranillo seeds and the MPs obtained from Saccharomyces cerevisiae. Here, the isolation of MPs from the cell walls of S. cerevisiae was performed using Zymolyase 20T enzyme. MPs were purified by using ethanol, temperature and dialysis. The obtained MPs were characterized by SDS-PAGE and their molecular weights (MWs) were determined by HRSEC-RID [2]. The protein percentage was determined by the Lowry method. The monosaccharide composition was determined by HPLC-MS after derivatisation with 1-phenyl-3-methyl-5-pyrazolone (PMP) [3]. Four main MP fractions were identified: F1 (~2%), with a MW 528.8 kDa, F2 (~12%) (174.1 kDa), F3 (~61 %) (61.0 kDa) and F4 (~25 %) (<10 kDa). The MP–flavanol interactions were performed at pH=3 and pH=4 and studied by means of HPLC-DAD-MS, HRSEC-RID and Isothermal Titration Calorimetry (ITC). The results showed noticeably differences in the interactions between the MPs fractions and the flavanol extract depending on the pH values. 

References

[1] C. Alcalde-Eon, et al. (2019). Food Res. Int., 126; 108650.
[2] E. Manjón, et al. (2020). J. Agric. Food Chem. 25; 13459
[3] Y. Ruiz-García et al. (2014). Carbohydr Polym. 114; 102.

DOI:

Publication date: June 27, 2022

Issue: IVAS 2022

Type: Poster

Authors

Manjón Elvira1, Bosch-Crespo Diana Marelys1, Dueñas Montserrat1 and Escribano-Bailón Mará Teresa1

1Department of Analytical Chemistry, Nutrition and Food Science, Universidad de Salamanca.

Contact the author

Keywords

Saccharomyces cerevisiae, climate change, mannoproteins, flavanols, astringency.

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Use of microorganisms in the disinfection/protection of organic rooted-cuttings from wood pathogens

One of the major problems affecting the viticulture sector is the quantity of plant protection products (especially copper) used to control the main foliar diseases of the vine. The Life Green Grapes project enter in the production context with the aim of reducing the use of fungicides throughout

The influence of terroir on the quality of wine of the Cahors A.O.C

Dans le but d’améliorer la qualité et la typicité des vins de l’Appellation d’0rigine Contrôlée CAHORS, une étude a été réalisée afin de mettre en évidence l’adéquation Cépage-Terroir- Qualité du vin.
Selon la méthodologie proposée par MORLAT et ASSELIN (1992), neuf unités terroirs ont été déterminées. Sur chacune, des parcelles de référence homogènes quant au matériel végétal Cot ou Malbec ( cépage principal de cette appellation greffé sur S04, et aux méthodes culturales, ont été suivies au niveau agronomique et œnologique (GARCIA et al., 1996).

Method for the evaluation of climatic changes envisaging the protection of grape-growing terroirs: the Géoviticulture MCC system in the evaluation of the potential impact of the construction of hydroelectric power plants on viticulture

La recherche, conduite en 2002, a envisagé l’estimation, a priori, de l’effet du changement mesoclimatique sur le potentiel qualitatif de la région viticole de la Serra Gaúcha (Vallée du Rio das Antas) – Brésil, en fonction de la construction de 3 usines hydroélectriques.

Antioxidant activity of yeast peptides released during fermentation and autolysis in model conditions

Aging wine on lees benefits different wine sensory and technological properties including an enhanced resistance to oxidation. Several molecules released by yeast, such as membrane sterols and glutathione, have been previously proposed as key factors for this activity [1].

Effect of multi-level and multi-scale spectral data source on vineyard state assessment

Currently, the main goal of agriculture is to promote the resilience of agricultural systems in a sustainable way through the improvement of use efficiency of farm resources, increasing crop yield and quality under climate change conditions. This last is expected to drastically modify plant growth, with possible negative effects, especially in arid and semi-arid regions of Europe on the viticultural sector. In this context, the monitoring of spatial behavior of grapevine during the growing season represents an opportunity to improve the plant management, winegrowers’ incomes, and to preserve the environmental health, but it has additional costs for the farmer. Nowadays, UAS equipped with a VIS-NIR multispectral camera (blue, green, red, red-edge, and NIR) represents a good and relatively cheap solution to assess plant status spatial information (by means of a limited set of spectral vegetation indices), representing important support in precision agriculture management during the growing season. While differences between UAS-based multispectral imagery and point-based spectroscopy are well discussed in the literature, their impact on plant status estimation by vegetation indices is not completely investigated in depth. The aim of this study was to assess the performance level of UAS-based multispectral (5 bands across 450-800nm spectral region with a spatial resolution of 5cm) imagery, reconstructed high-resolution satellite (Sentinel-2A) multispectral imagery (13 bands across 400-2500 nm with spatial resolution of <2 m) through Convolutional Neural Network (CNN) approach, and point-based field spectroscopy (collecting 600 wavelengths across 400-1000 nm spectral region with a surface footprint of 1-2 cm) in a plant status estimation application, and then, using Bayesian regularization artificial neural network for leaf chlorophyll content (LCC) and plant water status (LWP) prediction. The test site is a Greco vineyard of southern Italy, where detailed and precise records on soil and atmosphere systems, in-vivo plant monitoring of eco-physiological parameters have been conducted.