IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Recovery and purification of proteins from grape seed byproducts using proteomic and separative techniques

Recovery and purification of proteins from grape seed byproducts using proteomic and separative techniques

Abstract

Grape seeds account for around 5% of the weight of the whole grape berry, representing approximately 40%-50% of the solid by-products that the different wine industries generate during the winemaking process. Among all the grape seed components, proteins account for 10-13%. The use of these proteins could be of interest in technological applications for the food industry and others.
According to their solubility in different solvents, vegetable seed proteins have been classified into albumins (soluble in water), globulins (soluble in salt), prolamins (soluble in aqueous alcohol) and glutelins (soluble in acid or alkaline solution), respectively.
So far, most of the polypeptide components identified by electrophoretic analysis and mass spectroscopy in grape seed endosperm showed high homology with 11S globulin-like seed storage proteins from other plant species.
The ability of proteins to modulate food properties is highly dependent on their structural features. In this respect, there are still no studies that reveal the three-dimensional structure of these proteins in grape seed using x-ray or nuclear magnetic resonance techniques. However, there are studies using computational techniques for a 7S-type globulin from grape seed.  Therefore, the identification and subsequent elucidation of the morphology of proteins is crucial to define their potential uses and technological applications.
The aim of this work was to identify the different types of grape seed endosperm proteins from the by-product of the wine industry. For this purpose, the industrial by-product was subjected to different extractions to fractionate and purify the proteins into albumins, globulins and prolamins. In addition, quantification of the different fractions was carried out to clarify which type of protein is the majority. To carry out this work, a proteomic study based on SDS-page electrophoresis and mass spectroscopy was developed. These studies will provide new knowledge that will help to develop possible applications of seed proteins in the food industry.

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Poster

Authors

Chamizo-González Francisco1, Gordillo Arrobas Belén1, Hereida Francisco J.1, Días Ricardo2 and Freitas Víctor2

1Food Colour and Quality Laboratory, Facultad de Farmacia, Universidad de Sevilla, 41012, Sevilla, Spain
2Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto  

Contact the author

Keywords

Grape seed proteins; globulins, by-products, electrophoresis, mass spectroscopy

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

The temporal sensory interaction between 3-Mercaptohexanol, 3-Mercaptohexyl Acetate and Athanethiol using trata

Volatile sulphur compounds are a group of impact odorants with low odour thresholds that can contribute both positively and negatively to wine aroma. The varietal thiols, 3MH and 3MHA, are known to contribute positive tropical aromas to white wines and are most abundant in Sauvignon Blanc wines. The group of compounds contributing negative aromas are known as reductive sulphur compounds (RSCs) as they add a reductive aroma of asparagus, cooked vegetables and rotten egg to wines. All these compounds play a part in and are a result of the sulphur pathway in the yeast cell during fermentation and therefore attempting to increase the concentration of the varietal thiols may directly influence the concentration of the RSCs. The varietal thiols and the low molecular weight RSCs are highly volatile and therefore their sensory perception can change rapidly over time.

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.

On sample preparation methods for fermentative beverage VOCs profiling by GCxGC-TOFMS

Study the influence of sample preparation methods on the volatile organic compounds (VOCs) profiling for fermentative beverages by GCxGC-TOFMS analysis. METHODS: Five common sample preparation methods were tested on pooled red wine, white wine, cider, and beer. Studied methods were DHS, Liquid-liquid extraction, mSBSE, SPE and SPME. VOCs were analyzed by GCxGC-TOFMS followed by data analysis with ChromaTOF. RESULTS: The volatile organic compounds (VOCs) profiling results were very dependent on the sample preparation methods.

OmicBots – An innovative and intelligent multi-omics platform facing wine sector challenges

To face emerging competition and challenges, wine producers globally rely on precision viticulture (PV) solutions to boost productivity, enhance quality, increase profitability, and reduce the environmental impact of vineyards. Current pv methods predominantly use multispectral sensor data from several platforms (satellites or vineyard installations). However, these applications generally use data analysis strategies lacking physiological grapevine support.

ANALYZING THE ROLE OF ELEMENTAL SULFUR IN GRAPE JUICE ON THE DEVELOPMENT OF POLYFUNCTIONAL MERCAPTANS IN SAUVIGNON BLANC WINES

Sauvignon blanc is characterized by distinctive aromas, both fruity and herbaceous. The “green” character has been attributed to the methoxypyrazines, while the “fruity” character is associated with polyfunctional mercaptans . Polyfunctional mercaptans are of great significance due to their high impact on wines and associated low perception thresholds.
Elemental sulfur (S⁰) is widely used to protect grapevines from powdery mildew.