Macrowine 2021
IVES 9 IVES Conference Series 9 Analysis of peptide fraction from white wines

Analysis of peptide fraction from white wines

Abstract

Among nitrogen compounds included in white wines, the peptide fraction is certainly the least studied, however this fraction is quantitatively the most important (Feuillat, 1974). Existing studies concern the fraction below 1 kDa and only for white and sparkling wines (Bartolomé et al, 1997, Desportes et al 2000). In this report, we have developed methods to isolate peptides from reference white wines. Then, we have applied this methodology with bitter wine to answer a research question: is there a relation between peptides and the bitterness of white wine as for some cheese for example (Furtado, 1984)? First, after splitting reference wines by means of tangential ultrafiltration we got 3 different fractions: proteins above 10 kDa, peptides between 3 and 10 kDa and small peptides and free amino acids below 3 kDa. The amount of total nitrogen for each fraction was quantified by method of Kjedhal. We confirm that peptides represent the largest fraction of the nitrogen compounds in white wine. We expanded the range of molecular weight and studied the peptide fraction between 1 kDa and 10 kDa. This fraction of interest obtained by tangential ultrafiltration was diafiltrated against water and was concentrated by lyophilization. After, extracts from this fraction was separated by gel exclusion chromatography with the superdex 30 specific for peptides. Each fraction was read by absorbance at the 275 nm and then specifically detected by fluorescence with o-phtalaldehyde (OPA) to differentiate peptides from other molecules like polyphenols which are also detected at this wavelength. This isolation strategy was subsequently applied to white wines more or less bitter to investigate a potential relation between the peptides and the bitter taste. We obtained different peptide profiles between the most and least bitter wine for peptides corresponding to a high molecular weight. Every white wines studied here have similar peptide profiles made of two pools of different peptides. For the bitterest wine, the first pool corresponding to the higher molecular weight is greater. Thus, we may have revealed a relation between a class of peptides and the bitterness of these white wines.

REFERENCE LIST • Bartolomé, B., Moreno-Arribas, V., Pueyo, E., Polo, M.C. (1997) – On-line HPLCL photodiode array detection and derivatization for partial identification of small peptides from white wine. J. Agric. Food Chem. 45, 3374-3381. • Desportes, C., Charpentier, M.,Duteurtre, B. Maujean, A., Duchiron, F. (2000) – Liquid chromatographic fractionation of small peptides from wine. Journal of chromatography A. 893, pages 281-291. • Feuillat, M. (1974) – Contribution à l’étude des composés azotés dans les moûts de raisin et dans les vins. Thèse de Doctorat, université de Dijon. • Furtado, M.M. (1984) – Prevention of bitter taste in cheeses. Bulletin de la fédération Internationale de Laiterie. 177, 113-122.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Francois-Xavier Sauvage*, Caty Chabalier

*INRA

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Influence of wood chips addition during alcoholic fermentation on wine phenolic composition

This study investigates the effect of wood chips addition during the alcoholic fermentation on the phenolic
composition of the produced wines. A series of wood chips, originating from American, French, Slavonia
oak and Acacia were added at the beginning of wine alcoholic fermentation. Besides, a mixture consisting
of 50% French and 50% Americal oak chips were added during the experimentation. The wine samples
were analyzed one month after the end of malolactic fermentation, examining various chemical
parameters such as total anthocyanins, total phenolic content, tannins combined with protein (BSA) and
ellagitannin content.

Study of the content of amino acids and biogenic amines in sparkling red wines

The production of red sparkling wines is lower in Spain in comparison with the winemaking of white or rosé sparkling wines. In red sparkling wine processing it is essential to obtain suitable base wines that should have moderate alcohol content, high acidity, good color values, an adequate mouth-feel and a sweet tannin. Grapes for sparkling wine production have to be harvested at low maturity stages, with lower alcohol contents and higher acidities, which will that the phenolic maturity of the grapes is also low, showing green tannins. This paper analyses different treatments in order to minimize these inconveniences: cold maceration-prefermentation and delestage to elaborate the grapes with lower maturity, must nanofiltration, and the partial osmosis of the wines made from grapes with an adequate maturity degree.

Extraction of pathogenesis-related proteins and phenolics in Sauvignon Blanc as affected by different

The composition of wine is largely determined by the composition of pre-fermentation juice, which is influenced by extraction of grape components. Different grape harvesting and processing conditions could affect the extraction of grape components into juice. Among these grape components, pathogenesis-related (PR) proteins are of great concern for white wine maker as they are the main cause of haze formation in finished white wine. If not removed before bottling, these PR proteins may progress into haze through the formation of complex with phenolics under certain conditions. Thaumatin-like proteins (TLPs) and chitinases are the main constituents of PR proteins found in protein haze.

Merging fast sensory profiling with non-targeted GC-MS analysis for multifactorial experimental wine making

Wine aroma is influenced by several viticultural and oenological factors. In this study we used experimental wine making in a full factorial design to determine the impact of grapevine age, must turbidity, and yeast strain on the aroma of Vitis vinifera L. cv. Riesling wines. A recently developed, non-targeted SPME-GC-MS fingerprinting approach for wine volatiles was used. This approach includes the segmentation and mathematical transformation of chromatograms in combination with Parallel Factor Analysis (PARAFAC) and subsequent deconvolution of important chromatogram segments.

WineMetrics: A new approach to unveil the “wine-like aroma” chemical feature

“The Human being has an excellent ability to detect and discriminate odors but typically has great difficulty in identifying specific odorants”(1). Furthermore, “from a cognitive point of view the mechanism used to judge wines is closer to pattern recognition than descriptive analysis.” Therefore, when one wants to reveal the volatile “wine-like feature” pattern recognition techniques are required. Sensomics is one of the most recent “omics”, i.e. a holistic perspective of a complex system, which deals with the description of substances originated from microorganism metabolism that are “active” to human senses (2). Depicting the relevant volatile fraction in wines has been an ongoing task in recent decades to which several research groups have allocated important resources. The most common strategy has been the “target approach” in order to identify the “key odorants” for a given wine varietal.