Detection of flavour release from pectin gels using electronic noses

An electronic nose device developed in our laboratory was used to follow the flavour release of a multi-component essence encapsulated in pectin gels. Gelation kinetics of high-methoxylated pectin was followed by dynamic rheological measurements in presence and absence of flavour. A transition from...

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Autores principales: Monge, María Eugenia, Bernik, Delia Leticia, Negri, Ricardo Martin
Publicado: 2004
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09254005_v101_n1-2_p28_Monge
http://hdl.handle.net/20.500.12110/paper_09254005_v101_n1-2_p28_Monge
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spelling paper:paper_09254005_v101_n1-2_p28_Monge2023-06-08T15:51:14Z Detection of flavour release from pectin gels using electronic noses Monge, María Eugenia Bernik, Delia Leticia Negri, Ricardo Martin Electronic nose Encapsulation Flavour release Gels Multivariate analysis Pectin Rheology Encapsulation Flavors Gas chromatography Mass spectrometry Neural networks Polysaccharides Principal component analysis Reaction kinetics Rheology Electronic nose Flavor release Multivariate analysis Pectin Gels An electronic nose device developed in our laboratory was used to follow the flavour release of a multi-component essence encapsulated in pectin gels. Gelation kinetics of high-methoxylated pectin was followed by dynamic rheological measurements in presence and absence of flavour. A transition from a non-stabilized structure to a fully stabilized gel was observed at about 100min since mixing the gel components. Flavour release through different days after encapsulation was analyzed following the time evolution of the individual gas sensor's signals of the e-nose and also the modification of the fingerprints associated to the whole response of the sensors array. The correlation with rheological measurements indicate that the e-nose is able to detect the gel formation and to follow the flavour release changes through aging of the material using principal component analysis (PCA). Artificial neural networks (ANN) analysis was also a successful approach to classify the samples in three categories related with the flavour composition and concentration in the gas phase. © 2004 Elsevier B.V. All rights reserved. Fil:Monge, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Bernik, D.L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Negri, R.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2004 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09254005_v101_n1-2_p28_Monge http://hdl.handle.net/20.500.12110/paper_09254005_v101_n1-2_p28_Monge
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 nose
Encapsulation
Flavour release
Gels
Multivariate analysis
Pectin
Rheology
Encapsulation
Flavors
Gas chromatography
Mass spectrometry
Neural networks
Polysaccharides
Principal component analysis
Reaction kinetics
Rheology
Electronic nose
Flavor release
Multivariate analysis
Pectin
Gels
spellingShingle Electronic nose
Encapsulation
Flavour release
Gels
Multivariate analysis
Pectin
Rheology
Encapsulation
Flavors
Gas chromatography
Mass spectrometry
Neural networks
Polysaccharides
Principal component analysis
Reaction kinetics
Rheology
Electronic nose
Flavor release
Multivariate analysis
Pectin
Gels
Monge, María Eugenia
Bernik, Delia Leticia
Negri, Ricardo Martin
Detection of flavour release from pectin gels using electronic noses
topic_facet Electronic nose
Encapsulation
Flavour release
Gels
Multivariate analysis
Pectin
Rheology
Encapsulation
Flavors
Gas chromatography
Mass spectrometry
Neural networks
Polysaccharides
Principal component analysis
Reaction kinetics
Rheology
Electronic nose
Flavor release
Multivariate analysis
Pectin
Gels
description An electronic nose device developed in our laboratory was used to follow the flavour release of a multi-component essence encapsulated in pectin gels. Gelation kinetics of high-methoxylated pectin was followed by dynamic rheological measurements in presence and absence of flavour. A transition from a non-stabilized structure to a fully stabilized gel was observed at about 100min since mixing the gel components. Flavour release through different days after encapsulation was analyzed following the time evolution of the individual gas sensor's signals of the e-nose and also the modification of the fingerprints associated to the whole response of the sensors array. The correlation with rheological measurements indicate that the e-nose is able to detect the gel formation and to follow the flavour release changes through aging of the material using principal component analysis (PCA). Artificial neural networks (ANN) analysis was also a successful approach to classify the samples in three categories related with the flavour composition and concentration in the gas phase. © 2004 Elsevier B.V. All rights reserved.
author Monge, María Eugenia
Bernik, Delia Leticia
Negri, Ricardo Martin
author_facet Monge, María Eugenia
Bernik, Delia Leticia
Negri, Ricardo Martin
author_sort Monge, María Eugenia
title Detection of flavour release from pectin gels using electronic noses
title_short Detection of flavour release from pectin gels using electronic noses
title_full Detection of flavour release from pectin gels using electronic noses
title_fullStr Detection of flavour release from pectin gels using electronic noses
title_full_unstemmed Detection of flavour release from pectin gels using electronic noses
title_sort detection of flavour release from pectin gels using electronic noses
publishDate 2004
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09254005_v101_n1-2_p28_Monge
http://hdl.handle.net/20.500.12110/paper_09254005_v101_n1-2_p28_Monge
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AT bernikdelialeticia detectionofflavourreleasefrompectingelsusingelectronicnoses
AT negriricardomartin detectionofflavourreleasefrompectingelsusingelectronicnoses
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