Relationships between Godello white wine sensory properties and its aromatic fingerprinting obtained by GC-MS

被引:120
作者
Gonzalez Alvarez, M. [1 ]
Gonzalez-Barreiro, C. [1 ]
Cancho-Grande, B. [1 ]
Simal-Gandara, J. [1 ]
机构
[1] Univ Vigo, Nutr & Bromatol Grp, Dept Analyt & Food Chem, Fac Food Sci & Technol, E-32004 Orense, Spain
关键词
Sensory properties; Volatile compounds; Multivariate statistical techniques; PCA; PLS; Vitis vinifera var. Godello; GAS CHROMATOGRAPHY-OLFACTOMETRY; LEAST-SQUARES REGRESSION; QUANTITATIVE-DETERMINATION; IMPACT ODORANTS; RED WINES; CLASSIFICATION; PREDICTION; VOLATILE;
D O I
10.1016/j.foodchem.2011.05.040
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Godello is a traditional white-grape vine grown widely in the Valdeorras area (Northwest Spain) available information about the sensory and chemical characteristics of which is scant. In this work, exploratory research was conducted with a view to correlate the results of instrumental analyses of the aroma compounds in Godello wine and their sensory perception. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS) were the multivariate data analysis methods selected. PCA showed the distribution of the Godello wines based on volatile compounds with Odour Activity Values (OAV) higher or near-unity and sensory characteristics, and PLS exposed relationships between sensory descriptors and volatile compounds, in the wines. The compounds that mostly contributed to the flavour of Godello wines were those conferring a fruity (ethyl esters and acetates, accounting 55.1% of total OAV), spicy (fatty acids, 35.3%) or floral aroma (terpenes, 3.1%) based on instrumental analysis. In sensory analysis the descriptors with the highest intensity percent were fruity and floral aromas (floral, apple and citrus), together with herbaceous notes. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:890 / 898
页数:9
相关论文
共 42 条
[1]  
[Anonymous], 1990, REC METH INT AN VINS
[2]  
[Anonymous], 1977, 3591 ISO
[3]  
[Anonymous], 2007, Sensory analysis: general guidance for the design of test rooms = Analyse sensorielle: directives generales pour la conception de locaux destines � l'analyse
[4]   Prediction of aged red wine aroma properties from aroma chemical composition.: Partial least squares regression models [J].
Aznar, M ;
López, R ;
Cacho, J ;
Ferreira, V .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2003, 51 (09) :2700-2707
[5]   Aroma compounds of an Italian wine (Ruche) by HS-SPME analysis coupled with GC-ITMS [J].
Bonino, M ;
Schellino, R ;
Rizzi, C ;
Aigotti, R ;
Delfini, C ;
Baiocchi, C .
FOOD CHEMISTRY, 2003, 80 (01) :125-133
[6]   Differences in odor-active compounds of Trincadeira wines obtained from five different clones [J].
Botelho, Goreti ;
Mendes-Faia, Arlete ;
Climaco, Maria Cristina .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2008, 56 (16) :7393-7398
[7]  
Cacho J.F., 2006, PERCEPCION NOTAS ARO, P6
[8]   Prediction of the wine sensory properties related to grape variety from dynamic-headspace gas chromatography-olfactometry data [J].
Campo, E ;
Ferreira, V ;
Escudero, A ;
Cacho, J .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2005, 53 (14) :5682-5690
[9]  
Cliff M, 2002, AM J ENOL VITICULT, V53, P46
[10]  
Cozzolino D., 2009, INT J WINE RES, V1, P123, DOI [10.2147/IJWR.S4585, DOI 10.2147/IJWR.S4585]