Standard

Prediction of the Port wine age using an electronic tongue. / Rudnitskaya, Alisa; Delgadillo, Ivonne; Legin, Andrey; Rocha, Sílvia M.; Costa, Ana Maria; Simões, Tomás.

в: Chemometrics and Intelligent Laboratory Systems, Том 88, № 1, 15.08.2007, стр. 125-131.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Rudnitskaya, A, Delgadillo, I, Legin, A, Rocha, SM, Costa, AM & Simões, T 2007, 'Prediction of the Port wine age using an electronic tongue', Chemometrics and Intelligent Laboratory Systems, Том. 88, № 1, стр. 125-131. https://doi.org/10.1016/j.chemolab.2006.07.005

APA

Rudnitskaya, A., Delgadillo, I., Legin, A., Rocha, S. M., Costa, A. M., & Simões, T. (2007). Prediction of the Port wine age using an electronic tongue. Chemometrics and Intelligent Laboratory Systems, 88(1), 125-131. https://doi.org/10.1016/j.chemolab.2006.07.005

Vancouver

Rudnitskaya A, Delgadillo I, Legin A, Rocha SM, Costa AM, Simões T. Prediction of the Port wine age using an electronic tongue. Chemometrics and Intelligent Laboratory Systems. 2007 Авг. 15;88(1):125-131. https://doi.org/10.1016/j.chemolab.2006.07.005

Author

Rudnitskaya, Alisa ; Delgadillo, Ivonne ; Legin, Andrey ; Rocha, Sílvia M. ; Costa, Ana Maria ; Simões, Tomás. / Prediction of the Port wine age using an electronic tongue. в: Chemometrics and Intelligent Laboratory Systems. 2007 ; Том 88, № 1. стр. 125-131.

BibTeX

@article{c4c760c6f3934884b843edc443344ae2,
title = "Prediction of the Port wine age using an electronic tongue",
abstract = "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.",
keywords = "Age, Chemical analysis, Electronic tongue, Multivariate analysis, Orthogonal signal correction, Port wine",
author = "Alisa Rudnitskaya and Ivonne Delgadillo and Andrey Legin and Rocha, {S{\'i}lvia M.} and Costa, {Ana Maria} and Tom{\'a}s Sim{\~o}es",
year = "2007",
month = aug,
day = "15",
doi = "10.1016/j.chemolab.2006.07.005",
language = "English",
volume = "88",
pages = "125--131",
journal = "Chemometrics and Intelligent Laboratory Systems",
issn = "0169-7439",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Prediction of the Port wine age using an electronic tongue

AU - Rudnitskaya, Alisa

AU - Delgadillo, Ivonne

AU - Legin, Andrey

AU - Rocha, Sílvia M.

AU - Costa, Ana Maria

AU - Simões, Tomás

PY - 2007/8/15

Y1 - 2007/8/15

N2 - 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.

AB - 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.

KW - Age

KW - Chemical analysis

KW - Electronic tongue

KW - Multivariate analysis

KW - Orthogonal signal correction

KW - Port wine

UR - http://www.scopus.com/inward/record.url?scp=34250613553&partnerID=8YFLogxK

U2 - 10.1016/j.chemolab.2006.07.005

DO - 10.1016/j.chemolab.2006.07.005

M3 - Article

AN - SCOPUS:34250613553

VL - 88

SP - 125

EP - 131

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

SN - 0169-7439

IS - 1

ER -

ID: 30509490