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SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines

The important sampling parameters of a headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) procedure such as the extraction temperature, extraction time, and sample volume were optimized to quantify 23 important impact odorants in reduced alcohol red and white...

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Detalles Bibliográficos
Autores principales: Saha, Bithika, Longo, Rocco, Torley, Peter, Saliba, Anthony, Schmidtke, Leigh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112000/
https://www.ncbi.nlm.nih.gov/pubmed/30103385
http://dx.doi.org/10.3390/foods7080127
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author Saha, Bithika
Longo, Rocco
Torley, Peter
Saliba, Anthony
Schmidtke, Leigh
author_facet Saha, Bithika
Longo, Rocco
Torley, Peter
Saliba, Anthony
Schmidtke, Leigh
author_sort Saha, Bithika
collection PubMed
description The important sampling parameters of a headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) procedure such as the extraction temperature, extraction time, and sample volume were optimized to quantify 23 important impact odorants in reduced alcohol red and white wines. A three-factor design of Box-Behnken experiments was used to determine the optimized sampling conditions for each analyte, and a global optimized condition at every ethanol concentration of interest determined using a desirability function that accounts for a low signal response for compounds. Shiraz and Chardonnay wines were dealcoholized from 13.7 and 12.2% v/v ethanol respectively, to 8 and 5% v/v, using a commercially available membrane-based technology. A sample set of the reduced alcohol wines were also reconstituted to their natural ethanol level to evaluate the effect of the ethanol content reduction on volatile composition. The three-factor Box-Behnken experiment ensured an accurate determination of the headspace concentration of each compound at each ethanol concentration, allowing comparisons between wines at varying ethanol levels to be made. Overall, the results showed that the main effect of extraction temperature was considered the most critical factor when studying the equilibrium of reduced alcohol wine impact odorants. The impact of ethanol reduction upon the concentration of volatile compounds clearly resulted in losses of impact odorants from the wines. The concentration of most analytes decreased with dealcoholization compared to that of the natural samples. Significant differences were also found between the reconstituted volatile composition and 5% v/v reduced alcohol wines, revealing that the dealcoholization effect is the result of a combination between the type of dealcoholization treatment and reduction in wine ethanol content.
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spelling pubmed-61120002018-08-28 SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines Saha, Bithika Longo, Rocco Torley, Peter Saliba, Anthony Schmidtke, Leigh Foods Article The important sampling parameters of a headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) procedure such as the extraction temperature, extraction time, and sample volume were optimized to quantify 23 important impact odorants in reduced alcohol red and white wines. A three-factor design of Box-Behnken experiments was used to determine the optimized sampling conditions for each analyte, and a global optimized condition at every ethanol concentration of interest determined using a desirability function that accounts for a low signal response for compounds. Shiraz and Chardonnay wines were dealcoholized from 13.7 and 12.2% v/v ethanol respectively, to 8 and 5% v/v, using a commercially available membrane-based technology. A sample set of the reduced alcohol wines were also reconstituted to their natural ethanol level to evaluate the effect of the ethanol content reduction on volatile composition. The three-factor Box-Behnken experiment ensured an accurate determination of the headspace concentration of each compound at each ethanol concentration, allowing comparisons between wines at varying ethanol levels to be made. Overall, the results showed that the main effect of extraction temperature was considered the most critical factor when studying the equilibrium of reduced alcohol wine impact odorants. The impact of ethanol reduction upon the concentration of volatile compounds clearly resulted in losses of impact odorants from the wines. The concentration of most analytes decreased with dealcoholization compared to that of the natural samples. Significant differences were also found between the reconstituted volatile composition and 5% v/v reduced alcohol wines, revealing that the dealcoholization effect is the result of a combination between the type of dealcoholization treatment and reduction in wine ethanol content. MDPI 2018-08-10 /pmc/articles/PMC6112000/ /pubmed/30103385 http://dx.doi.org/10.3390/foods7080127 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Saha, Bithika
Longo, Rocco
Torley, Peter
Saliba, Anthony
Schmidtke, Leigh
SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title_full SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title_fullStr SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title_full_unstemmed SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title_short SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines
title_sort spme method optimized by box-behnken design for impact odorants in reduced alcohol wines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112000/
https://www.ncbi.nlm.nih.gov/pubmed/30103385
http://dx.doi.org/10.3390/foods7080127
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