Prediction of the Port wine age using an electronic tongue

被引:35
|
作者
Rudnitskaya, Alisa
Delgadillo, Ivonne
Legin, Andrey
Rocha, Silvia M.
Costa, Ana-Maria
Simoes, Tomas
机构
[1] St Petersburg State Univ, Dept Chem, St Petersburg 199034, Russia
[2] Univ Aveiro, Dept Chem, P-3810193 Aveiro, Portugal
[3] Inst Vinhos Douro & Porto, Oporto, Portugal
关键词
Port wine; electronic tongue; chemical analysis; age; multivariate analysis; orthogonal signal correction;
D O I
10.1016/j.chemolab.2006.07.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The electronic tongue multisensor system was applied to the measurements in about 160 samples of the Port wines of different ages (from 2 to 70 years old) and of different types including Tawnies, Vintages, Late Bottled Vintage (LBV) and harvest wines. Multivariate calibration for the prediction of the Port wine age was made applying PLS regression to the electronic tongue and chemical analysis data. Orthogonal signal correction (OSC) was evaluated as data pre-processing method. OSC filtering was applied to the both data sets and the results were compared. The age of the Port wine was predicted with similar accuracy using both electronic tongue and chemical analysis data. The accuracy of age prediction was improved to about 1.5 years when using only the samples aged from 10 to 35 years for the calibration. This appears to be acceptable for the practical applications. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:125 / 131
页数:7
相关论文
共 50 条
  • [21] SVD Based Tea Quality Prediction Using Electronic Tongue Signal
    Saha, Pradip
    Ghorai, Santanu
    Tudu, Bipan
    Bandyopadhyay, Rajib
    Bhattacharyya, Nabarun
    2016 INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL POWER AND INSTRUMENTATION (ICICPI), 2016, : 79 - 83
  • [22] Application of electronic tongue for quantitative analysis of mineral water and wine
    Legin, A
    Rudnitskaya, A
    Vlasov, Y
    Di Natale, C
    Mazzone, E
    D'Amico, A
    ELECTROANALYSIS, 1999, 11 (10-11) : 814 - 820
  • [23] Application of electronic tongue for quantitative analysis of mineral water and wine
    Chemistry Department, St. Petersburg University, Universitetskaya nab. 7/9, St. Petersburg RUS-199034, Russia
    不详
    Electroanalysis, 10-11 (814-820):
  • [24] Application of Neural Networks to Identify Wine Based on Electronic Tongue
    Men, Hong
    Wang, Weiguang
    Ge, Zongnian
    Sun, Jianping
    PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 862 - 866
  • [25] CELL 89-Discrimination and evaluation of tannins in model wine solution using an electronic tongue
    Fontoin, Helene
    Saucier, Cedric
    Teissedre, Pierre-Louis
    Glories, Yves
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2006, 232
  • [26] A Novel Technique of Black Tea Quality Prediction Using Electronic Tongue Signals
    Saha, Pradip
    Ghorai, Santanu
    Tudu, Bipan
    Bandyopadhyay, Rajib
    Bhattacharyya, Nabarun
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (10) : 2472 - 2479
  • [27] Prediction of theaflavin and thearubigin content in black tea using a voltammetric electronic tongue
    Ghosh, Arunangshu
    Tudu, Bipan
    Tamuly, Pradip
    Bhattacharyya, Nabarun
    Bandyopadhyay, Rajib
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2012, 116 : 57 - 66
  • [28] Prediction of apparent viscosity of milk with different volume fraction using electronic tongue
    Wu C.
    Wang J.
    Wei Z.
    Wang Y.
    Ye S.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2010, 26 (06): : 226 - 230
  • [29] Prediction of Italian red wine sensorial descriptors from electronic nose, electronic tongue and spectrophotometric measurements by means of Genetic Algorithm regression models
    Buratti, S.
    Ballabio, D.
    Benedetti, S.
    Cosio, M. S.
    FOOD CHEMISTRY, 2007, 100 (01) : 211 - 218
  • [30] Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning and Hyperspectral Imaging
    Gomes, Veronique
    Reis, Marco S.
    Rovira-Mas, Francisco
    Mendes-Ferreira, Ana
    Melo-Pinto, Pedro
    PROCESSES, 2021, 9 (07)