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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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IVAS 2022 | IVES Conference Series

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Impact of changes in pruning practices on vine growth and yield

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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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homogeneous zones by intersecting several partial zonings of major factors that influence vineyard growth. Each of them follows specific process from their corresponding disciplines. Soil zoning specifically refers to a Soil Resource Inventory map that has traditionally been generated by conventional soil mapping methods. These methods have shortcomings in reaching fine cartographic and categorical details and involve significant expenses, which undermines their applicability. A new framework named Digital Soil Mapping has introduced quantitative models by statistical techniques to establish soil-landscape relationships and is able to provide intensive scale cartography.

In the present study, a microzoning at 1:10.000 scale is generated from an initial zoning, where the conventional soil map with polytaxic map units is replaced by a new one from digital techniques that disaggregates them. The comparison between the zonings considers a quantitative evaluation of capability for each Homogeneous Terroir Unit by means of the Viticultural Quality Index and its categorization based on its distribution by map. The spatial intersection of both maps gives rise to a confusion matrix in which the flows of class variations after the substitution are assessed.

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