Electronic nose for wine ageing detection

被引：84

作者：

Lozano, J. ^{[1
]}

Arroyo, T. ^{[3
]}

Santos, J. P. ^{[2
]}

Cabellos, J. M. ^{[3
]}

Horrillo, M. C. ^{[2
]}

机构：

[1] Univ Extremadura, Grp Clasificac Patrones & Anal Imagenes, Badajoz 06006, Spain

[2] CSIC, Lab Sensores, E-28006 Madrid, Spain

[3] Inst Madrileno Invest & Desarrollo Rural Agrario, Dept Agroalimentac, Alcala De Henares 28800, Spain

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2008年 / 133卷 / 01期

关键词：

wine ageing; odor recognition; artificial olfactory system;

D O I：

10.1016/j.snb.2008.02.011

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This paper reports a novel application of an electronic nose (e-nose) for recognition and detection of wine ageing. Two different measurements are performed with the following samples: first, in an experimental cellar the same wine is aged in different type of oak barrel (French and American oak) and during different time (0, 3, 6 and 12 months) and second, several wines made with the same grape variety and from different wine cellars aged in French and American oak. This identification has a great importance for origin denominations for control of frauds. The e-nose is home-developed and home-fabricated for this purpose: a tin oxide multisensor prepared with RF sputtering onto an alumina substrate and doped with chromium and indium is used. The sampling method employed is static headspace followed by a dynamic injection. Linear techniques like principal component analysis (PCA) and nonlinear ones like probabilistic neural networks (PNN) are used for pattern recognition. A classification success rate (correct predicted number over total number of measurements) of 97% and 84% is achieved in detection of the different ageing process experimented by the wines tested. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：180 / 186

页数：7

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