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IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Optimization and validation of a fully automated HS-SPME method for determination of VCCs and its application in wines submitted to accelerated ageing

Optimization and validation of a fully automated HS-SPME method for determination of VCCs and its application in wines submitted to accelerated ageing

Abstract

Wine aroma is a complex gaseous mixture composed of various compounds; some of these molecules derive directly from the grapes while most of them are released and synthetized during fermentation or are due to ageing reactions. Among the latter class of compounds, carbonyls are the principal products of oxidation reactions which take place during the storing time. Volatile carbonyl compounds (VCCs) are related to aromatic nuances of vanilla, caramel, butter, honey, potato, orange, lemon, violets, cider and plum, which are pleasant scents characteristics of oxidized wines. However, apart from cases where it is a deliberate process, oxidation is commonly undesired and the presence of a relevant content of carbonyls is related to aroma defects. Because of that, monitoring the concentration of VCCs could be added as a quality control for the evaluation of a complete fermentation, correct winemaking style, and proper bottling and storage. In this research an HS-SPME method1 was optimized and validated with the aim to be used as a tool to achieve this goal. The use of a solvent-free extraction allowed to maximize the coherence to the Green Analytical Chemistry principles with a simultaneous achievement in performance, reliability and robustness. In this method, all sample preparation steps were automated using the autosampler minimizing the human time consumption to enhance the scalability to routine analysis. As many as 46 VCCs (mainly linear aldehydes, Strecker aldehydes, unsaturated aldehydes, ketones, and many other) were the analytes under investigation. All compounds showed a good linearity spanning from approximately 0.1 to 100 µg/L (R2>0.99). Intra-day and 5 days inter-days repeatability showed an RSD

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Piergiovanni Maurizio1, Carlin Silvia2, Lotti Cesare2, Vhrovsek Urska2 and Mattivi Fulvio1,2

1Center Agriculture Food Environment (C3A), University of Trento, via Edmund Mach 1, San Michele all’Adige (TN) Italy
2Center Research and Innovation, Edmund Mach Foundation, Italy3Affiliation of the third 

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Keywords

Carbonyls, oxidation, accelerated ageing, HS-SPME, quality control

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Measurement of redox potential as a new analytical winegrowing tool

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Variations of soil attributes in vineyards influence their reflectance spectra

Knowledge on the reflectance spectrum of soil is potentially useful since it carries information on soil chemical composition that can be used to the planning of agricultural practices. If compared with analytical methods such as conventional chemical analysis, reflectance measurement provides non-destructive, economic, near real-time data. This paper reports results from reflectance measurements performed by spectroradiometry on soils from two vineyards in south Brazil. The vineyards are close to each other, are on different geological formations, but were subjected to the same management. The objective was to detect spectral differences between the two areas, correlating these differences to variations in their chemical composition, to assess the technique’s potential to predict soil attributes from reflectance data.To that end, soil samples were collected from ten selected vine parcels. Chemical analysis yield data on concentration of twenty-one soil attributes, and spectroradiometry was performed on samples. Chemical differences significant to a 95% confidence level between the two studied areas were found for six soil attributes, and the average reflectance spectra were separated by this same level along most of the observed spectral domain. Correlations between soil reflectance and concentrations of soil attributes were looked for, and for ten soil traits it was possible to define wavelength domains were reflectance and concentrations are correlated to confidence levels from 95% to 99%. Partial Least Squares Regression (PLSR) analyses were performed comparing measured and predicted concentrations, and for fifteen out of 21 soil traits we found Pearson correlation coefficients r > 0.8. These preliminary results, which have to be validated, suggest that variations of concentration in the investigated soil attributes induce differences in reflectance that can be detected by spectroradiometry. Applications of these observations include the assessment of the chemical content of soils by spectroradiometry as a fast, low-cost alternative to chemical analytical methods.

Revealing the Barossa zone sub-divisions through sensory and chemical analysis of Shiraz wine

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IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Optimization and validation of a fully automated HS-SPME method for determination of VCCs and its application in wines submitted to accelerated ageing

Optimization and validation of a fully automated HS-SPME method for determination of VCCs and its application in wines submitted to accelerated ageing

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Publication date: June 23, 2022

Issue: IVAS 2022

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How distinctive are single vineyard Gewürztraminer musts and wines from Alto Adige (Italy) based on untargeted analysis, sensory profiling, and chemometric elaboration?

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