Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose

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A qualitative analysis of different kinds of green leaves brands employed in a popular Argentinean beverage-mate-was performed with an electronic nose (EN) based on quartz microbalance sensors. We employed a LibraNose from Technobiochip, which contains eight sensors. Two types of 'odours'...

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Autores principales: Lamagna, A., Reich, S., Negri, M., Boselli, A., Cocco, M., Di Natale, C.
Formato: JOUR
Materias:
Electronic noses
Pattern recognition
Principal component analysis
Beverages
Odors
Quality control
Quartz microbalance sensors
Chemical sensors
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00406090_v418_n1_p42_Lamagna
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_00406090_v418_n1_p42_Lamagna
record_format dspace
spelling todo:paper_00406090_v418_n1_p42_Lamagna2023-10-03T14:51:06Z Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose Lamagna, A. Reich, S. Negri, M. Boselli, A. Cocco, M. Di Natale, C. Electronic noses Pattern recognition Principal component analysis Beverages Odors Pattern recognition Principal component analysis Quality control Quartz microbalance sensors Chemical sensors A qualitative analysis of different kinds of green leaves brands employed in a popular Argentinean beverage-mate-was performed with an electronic nose (EN) based on quartz microbalance sensors. We employed a LibraNose from Technobiochip, which contains eight sensors. Two types of 'odours' are analysed for each sample corresponding to short- and long-term periods after the opening of the package. Principal component analysis (PCA) is applied to the sensor responses and it is possible to distinguish between different brands through their locus in the plane defined by the first two PCA components. Preliminary results confirm the usefulness of this EN for classification and future quality control purposes. © 2002 Elsevier Science B.V. All Rights Reserved. Fil:Lamagna, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Reich, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Negri, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00406090_v418_n1_p42_Lamagna
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Electronic noses
Pattern recognition
Principal component analysis
Beverages
Odors
Pattern recognition
Principal component analysis
Quality control
Quartz microbalance sensors
Chemical sensors
spellingShingle Electronic noses
Pattern recognition
Principal component analysis
Beverages
Odors
Pattern recognition
Principal component analysis
Quality control
Quartz microbalance sensors
Chemical sensors
Lamagna, A.
Reich, S.
Negri, M.
Boselli, A.
Cocco, M.
Di Natale, C.
Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
topic_facet Electronic noses
Pattern recognition
Principal component analysis
Beverages
Odors
Pattern recognition
Principal component analysis
Quality control
Quartz microbalance sensors
Chemical sensors
description A qualitative analysis of different kinds of green leaves brands employed in a popular Argentinean beverage-mate-was performed with an electronic nose (EN) based on quartz microbalance sensors. We employed a LibraNose from Technobiochip, which contains eight sensors. Two types of 'odours' are analysed for each sample corresponding to short- and long-term periods after the opening of the package. Principal component analysis (PCA) is applied to the sensor responses and it is possible to distinguish between different brands through their locus in the plane defined by the first two PCA components. Preliminary results confirm the usefulness of this EN for classification and future quality control purposes. © 2002 Elsevier Science B.V. All Rights Reserved.
format JOUR
author Lamagna, A.
Reich, S.
Negri, M.
Boselli, A.
Cocco, M.
Di Natale, C.
author_facet Lamagna, A.
Reich, S.
Negri, M.
Boselli, A.
Cocco, M.
Di Natale, C.
author_sort Lamagna, A.
title Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
title_short Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
title_full Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
title_fullStr Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
title_full_unstemmed Characterization of different brands used in a typical Argentinean beverage-mate-by means of an electronic nose
title_sort characterization of different brands used in a typical argentinean beverage-mate-by means of an electronic nose
url http://hdl.handle.net/20.500.12110/paper_00406090_v418_n1_p42_Lamagna
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