Random subspace method for analysing coffee with electronic tongue

Author

Ferreira, E.J. ; Pereira, R.C.T. ; Delbem, A.C.B. ; Oliveira, O.N., Jr. ; Mattoso, L.H.C.

Author_Institution

EMBRAPA Instrumentacao Agropecuaria, Sao Carlos

Volume

43

Issue

21

fYear

2007

Firstpage

1138

Lastpage

1139

Abstract

Electronic tongue (ET) systems based on nanostructured films and impedance spectroscopy have been successful in detecting trace amounts of impurities in water and distinguishing similar complex liquids, such as different wines and coffees. There is now the challenge to correlate the electrical response from an ET to taste as assessed by human experts. Employed is a hybrid regression approach based on the random subspace method and principal components analysis to predict the global quality of coffees. A high correlation between predicted scores and those assigned by expert tasters was obtained, which is represented by a Pearson coefficient of 0.964.

Keywords

beverage industry; beverages; chemical sensors; chemioception; electric impedance; impurities; nanostructured materials; principal component analysis; quality control; regression analysis; coffee analysis; coffee industry; coffee quality; electrical response; electronic tongue system; human taste; hybrid regression approach; impedance spectroscopy; impurities; nanostructured films; principal component analysis; random subspace method; wines;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el:20071182

Filename

4349251