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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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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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 |
work_keys_str_mv |
AT mongemariaeugenia detectionofflavourreleasefrompectingelsusingelectronicnoses AT bernikdelialeticia detectionofflavourreleasefrompectingelsusingelectronicnoses AT negriricardomartin detectionofflavourreleasefrompectingelsusingelectronicnoses |
_version_ |
1768546216222654464 |