Macrowine 2021
IVES 9 IVES Conference Series 9 Metabolomics of grape polyphenols as a consequence of post-harvest drying: on-plant dehydration vs warehouse withering

Metabolomics of grape polyphenols as a consequence of post-harvest drying: on-plant dehydration vs warehouse withering

Abstract

A method of suspect screening analysis to study grape metabolomics, was developed [1]. By performing ultra-high performance liquid chromatography (UHPLC) – high-resolution mass spectrometry (HRMS) analysis of the grape extract, averaging 320-450 putative grape compounds are identified which include mainly polyphenols. Identification of metabolites is performed by a new HRMS-database of putative grape and wine compounds expressly constructed (GrapeMetabolomics) which currently includes around 1,100 entries. Grape dehydration is an oenological process used in the production of a number of non-botrytized sweet and not-sweet Italian wines: e.g., Amarone di Valpolicella (produced by Corvina, Corvinone and Rondinella grapes), Passito di Pantelleria (Zibibbo grape), VinSanto (Malvasia and Trebbiano grapes), Sfursat (Nebbiolo grape), Raboso Passito. The process is carried out by keeping grape on-vine for a certain period of time after cutting the yield cane (up to two/three months), or by leaving the grape in dehydration warehouses under controlled conditions of humidity and temperature [2-6]. Metabolomics of polyphenols of Corvina grape dehydrated both in-plant and warehouse withering was studied by performing UHPLC-QTOF analysis of grape extracts. In particular, the study was focalized on the principal classes of polyphenolic compounds of grape, such as anthocyanins, flavonols and stilbene derivatives [7,8]. Differences between the two dehydration methods were evaluated by statistical analysis.

References 1.Flamini, R.; De Rosso, M.; et al. Metabolomics, 9 (2013), pp 1243-1253. 2.Bellincontro, A.; De Santis, D.; et al. Journal of the Science of Food and Agriculture, 84 (2004), pp 1791-1800. 3.Giordano, M.; Rolle, L.; et al. Journal International des Sciences de la Vigne et du Vin, 43 (2009), pp 159-170. 4.Zamboni, A.; Minoia, L.; et al. Journal of Experimental Botany, 59 (2008), pp 4145-4159. 5.Corso, M.; Ziliotto, F.; et al. Plant Science, 208 (2013), pp 50-57. 6.Nicoletti, I.; Bellincontro, A.; et al. Australian Journal of Grape and Wine Research 19 (2013), pp 358-368. 7.De Rosso, M.; Tonidandel, L.; et al. Food Chemistry, 1635 (2014), pp 244-251. 8. Flamini, R.; De Rosso, et al. J. Anal. Meth. in Chem. (2015), 10 pp.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Riccardo Flamini*, Antonio Dalla Vedova, Diego Tomasi, Luca Brillante, Mirko De Rosso

*CREA

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Non-invasive headspace sorptive extraction for monitoring volatile compounds production by saccharomyces and non-saccharomyces strains throughout alcoholic fermentation

Wine is a solution containing abundant volatile compounds which contribute to their aroma. Many of them are produced by yeast as metabolism by-products. Different yeast strains produce different volatile profiles. The possibility of studying the evolution of volatile compounds during fermentation, using sampling methods that not alter the volume of fermentation media, is of great interest. In spite of this, non-invasive methods to monitoring the evolution of volatile profile during fermentation have been seldom used. The goals of this work were to use by first time the headspace sorptive extraction (HSSE) as non-invasive method to monitor the evolution of volatile profiles throughout alcoholic fermentation and to study the changes on volatile profiles produced by Saccharomyces cerevisiae and Lachancea thermotolerans during fermentation of a must with high sugar content.

Comparison of aroma-related compounds of carbonic maceration and traditional young red winemaking in case of Merlot by means of targeted metabolomic approach

Winemaking decisions and techniques are known to affect the final aromatic composition of red wines. Winemakers put a constant effort into the improved controlling of vinification procedures to achieve better quality. Anyway an increased customer’s demand for uniqueness is often forcing them to adjust and offer new and new interesting products. To support the producers, an improved knowledge on aromatic potential as affected by classical and alternative strategies is needed.

Metabolomics comparison of non-Saccharomyces yeasts in Sauvignon blanc and Shiraz

Saccharomyces cerevisiae (SC) is the main driver of alcoholic fermentation however, in wine, non-Saccharomyces species can have a powerful effect on aroma and flavor formation. This study aimed to compare untargeted volatile compound profiles from SPME-GC×GC-TOF-MS of Sauvignon blanc and Shiraz wine inoculated with six different non-Saccharomyces yeasts followed by SC. Torulaspora delbrueckii (TD), Lachancea thermotolerans (LT), Pichia kluyveri (PK) and Metschnikowia pulcherrima (MP) were commercial starter strains, while Candida zemplinina (CZ) and Kazachstania aerobia (KA), were isolated from wine grape environments. Each fermentation produced a distinct chemical profile that was unique for both grape musts. The SC-monoculture and CZ-SC sequential fermentations were the most distinctly different in the Sauvignon blanc while the LT-SC sequential fermentations were the most different from the control in the Shiraz fermentations.

Spontaneous fermentation dynamics of indigenous yeast populations and their effect on the sensory properties of Riesling

Varietal Riesling aroma relies strongly on the formation and liberation of bound aroma compounds. Floral monoterpenes, green C6-alcohols, fruity C13-norisoprenoids and spicy volatile phenols are predominantly bound to disaccharides, which are produced and stored in the grape berry during berry maturation. Grape processing aims to extract maximum amount of the precursors from the berry skin to increase the potential for a strong varietal aroma in the wine. Subsequent yeast selection plays an important part in this process.

A multivariate approach using attenuated total reflectance mid-infrared spectroscopy to measure the surface mannoproteins and β-glucans of yeast cell walls during wine fermentations

Yeast cells possess a cell wall comprising primarily glycoproteins, mannans, and glucan polymers. Several yeast phenotypes relevant for fermentation, wine processing, and wine quality are correlated with cell wall properties. To investigate the effect of wine fermentation on cell wall composition, a study was performed using mid-infrared (MIR) spectroscopy coupled with multivariate methods (i.e., PCA and OPLS-DA). A total of 40 yeast strains were evaluated, including Saccharomyces strains (laboratory and industrial) and non-Saccharomyces species. Cells were fermented in both synthetic MS300 and Chardonnay grape must to stationery phase, processed, and scanned in the MIR spectrum.