Sensory interactions between six common aroma vectors explain four main red wine aroma nuances
•Sensory analysis carried out on semi-synthetic aroma models closely resembling wine.•Four important wine aroma nuances were well reproduced.•Interactions between vectors account for most aroma properties.•Strong suppression effect of fusel alcohols on ‘red fruit’ and ‘woody’.•Major impact of furane...
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Published in | Food chemistry Vol. 199; pp. 447 - 456 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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England
Elsevier Ltd
15.05.2016
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Abstract | •Sensory analysis carried out on semi-synthetic aroma models closely resembling wine.•Four important wine aroma nuances were well reproduced.•Interactions between vectors account for most aroma properties.•Strong suppression effect of fusel alcohols on ‘red fruit’ and ‘woody’.•Major impact of furaneol on ‘red fruit’.
This work aims at assessing the aromatic sensory dimensions linked to 6 common wine aroma vectors (N, norisoprenoids; A, branched acids; F, enolones; E, branched ethyl esters; L, fusel alcohols, M, wood compounds) varying in their natural range of occurrence. Wine models were built by adding the vectors at two levels (fractional factorial design 2VI) to a de-aromatised aged red wine. Twenty other different models were evaluated by descriptive analysis. Red, black and dried fruits and woody notes were satisfactorily reproduced. Individual vectors explained just 15% of the sensory space, mostly dependent on perceptual interactions. N influences dried and black fruits and suppresses red fruits. A suppresses black fruits and enhances red and dried fruits. F exerts a major role on red fruits. E suppresses dried fruits and modulates black fruits. L is revealed as a strong suppressor of red fruits and particularly of woody notes. |
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AbstractList | This work aims at assessing the aromatic sensory dimensions linked to 6 common wine aroma vectors (N, norisoprenoids; A, branched acids; F, enolones; E, branched ethyl esters; L, fusel alcohols, M, wood compounds) varying in their natural range of occurrence. Wine models were built by adding the vectors at two levels (fractional factorial design 2 super(VI)) to a de-aromatised aged red wine. Twenty other different models were evaluated by descriptive analysis. Red, black and dried fruits and woody notes were satisfactorily reproduced. Individual vectors explained just 15% of the sensory space, mostly dependent on perceptual interactions. N influences dried and black fruits and suppresses red fruits. A suppresses black fruits and enhances red and dried fruits. F exerts a major role on red fruits. E suppresses dried fruits and modulates black fruits. L is revealed as a strong suppressor of red fruits and particularly of woody notes. This work aims at assessing the aromatic sensory dimensions linked to 6 common wine aroma vectors (N, norisoprenoids; A, branched acids; F, enolones; E, branched ethyl esters; L, fusel alcohols, M, wood compounds) varying in their natural range of occurrence. Wine models were built by adding the vectors at two levels (fractional factorial design 2(VI)) to a de-aromatised aged red wine. Twenty other different models were evaluated by descriptive analysis. Red, black and dried fruits and woody notes were satisfactorily reproduced. Individual vectors explained just 15% of the sensory space, mostly dependent on perceptual interactions. N influences dried and black fruits and suppresses red fruits. A suppresses black fruits and enhances red and dried fruits. F exerts a major role on red fruits. E suppresses dried fruits and modulates black fruits. L is revealed as a strong suppressor of red fruits and particularly of woody notes. •Sensory analysis carried out on semi-synthetic aroma models closely resembling wine.•Four important wine aroma nuances were well reproduced.•Interactions between vectors account for most aroma properties.•Strong suppression effect of fusel alcohols on ‘red fruit’ and ‘woody’.•Major impact of furaneol on ‘red fruit’. This work aims at assessing the aromatic sensory dimensions linked to 6 common wine aroma vectors (N, norisoprenoids; A, branched acids; F, enolones; E, branched ethyl esters; L, fusel alcohols, M, wood compounds) varying in their natural range of occurrence. Wine models were built by adding the vectors at two levels (fractional factorial design 2VI) to a de-aromatised aged red wine. Twenty other different models were evaluated by descriptive analysis. Red, black and dried fruits and woody notes were satisfactorily reproduced. Individual vectors explained just 15% of the sensory space, mostly dependent on perceptual interactions. N influences dried and black fruits and suppresses red fruits. A suppresses black fruits and enhances red and dried fruits. F exerts a major role on red fruits. E suppresses dried fruits and modulates black fruits. L is revealed as a strong suppressor of red fruits and particularly of woody notes. |
Author | Campo, Eva Herrero, Paula de la Fuente, Arancha Ferreira, Vicente Sáenz-Navajas, María-Pilar Fernández-Zurbano, Purificación |
Author_xml | – sequence: 1 givenname: Vicente orcidid: 0000-0002-4353-2483 surname: Ferreira fullname: Ferreira, Vicente email: vferre@unizar.es organization: Laboratorio de Análisis del Aroma y Enología (LAAE), Instituto Agroalimentario de Aragón (IA2), Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009 Zaragoza, Spain – sequence: 2 givenname: María-Pilar surname: Sáenz-Navajas fullname: Sáenz-Navajas, María-Pilar organization: Laboratorio de Análisis del Aroma y Enología (LAAE), Instituto Agroalimentario de Aragón (IA2), Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009 Zaragoza, Spain – sequence: 3 givenname: Eva surname: Campo fullname: Campo, Eva organization: Laboratorio de Análisis del Aroma y Enología (LAAE), Instituto Agroalimentario de Aragón (IA2), Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009 Zaragoza, Spain – sequence: 4 givenname: Paula surname: Herrero fullname: Herrero, Paula organization: Laboratorio de Análisis del Aroma y Enología (LAAE), Instituto Agroalimentario de Aragón (IA2), Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009 Zaragoza, Spain – sequence: 5 givenname: Arancha orcidid: 0000-0002-4093-900X surname: de la Fuente fullname: de la Fuente, Arancha organization: Laboratorio de Análisis del Aroma y Enología (LAAE), Instituto Agroalimentario de Aragón (IA2), Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009 Zaragoza, Spain – sequence: 6 givenname: Purificación surname: Fernández-Zurbano fullname: Fernández-Zurbano, Purificación organization: Department of Chemistry, Universidad de La Rioja, Instituto de Ciencias de la Vid y el Vino, ICVV (UR-CSIC-GR), Madre de Dios 51, 26006 Logroño, La Rioja, Spain |
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Keywords | Fusel alcohols Odour mixtures Reconstituted wines Suppression effects Damascenone Aroma interactions Furaneol |
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Snippet | •Sensory analysis carried out on semi-synthetic aroma models closely resembling wine.•Four important wine aroma nuances were well reproduced.•Interactions... This work aims at assessing the aromatic sensory dimensions linked to 6 common wine aroma vectors (N, norisoprenoids; A, branched acids; F, enolones; E,... |
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SubjectTerms | Aroma interactions Damascenone Fruit - chemistry Furaneol Fusel alcohols Gas Chromatography-Mass Spectrometry - methods Humans Norisoprenoids - analysis Odorants - analysis Odour mixtures Reconstituted wines Suppression effects Vitaceae Wine - analysis |
Title | Sensory interactions between six common aroma vectors explain four main red wine aroma nuances |
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