Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis

This work studies the changes along days of the aroma released from a flavour encapsulated in a polysaccharide gel matrix using the electronic nose methodology. The purpose is to explore the capacity of the sensor array to assign a pattern of aroma to the corresponding release day within a total per...

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Autores principales: Rodriguez, S.D., Monge, M.E., Olivieri, A.C., Negri, R.M., Bernik, D.L.
Formato: JOUR
Materias:
Aroma release
Chemometric analysis
Electronic noses
Essence encapsulation
Artificial Neural Network
Data analysis algorithms
Data manipulations
Data treatment
Electronic NOSE
Gel matrix
Kohonen
Multiple discriminant analysis
Sensor signals
Time dependence
Work study
Artificial organs
Cluster analysis
Data handling
Discriminant analysis
Electronic equipment
Self organizing maps
Sensor arrays
Principal component analysis
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09639969_v43_n3_p797_Rodriguez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_09639969_v43_n3_p797_Rodriguez
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spelling todo:paper_09639969_v43_n3_p797_Rodriguez2023-10-03T15:54:42Z Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis Rodriguez, S.D. Monge, M.E. Olivieri, A.C. Negri, R.M. Bernik, D.L. Aroma release Chemometric analysis Electronic noses Essence encapsulation Aroma release Artificial Neural Network Chemometric analysis Data analysis algorithms Data manipulations Data treatment Electronic NOSE Electronic noses Gel matrix Kohonen Multiple discriminant analysis Sensor signals Time dependence Work study Artificial organs Cluster analysis Data handling Discriminant analysis Electronic equipment Self organizing maps Sensor arrays Principal component analysis This work studies the changes along days of the aroma released from a flavour encapsulated in a polysaccharide gel matrix using the electronic nose methodology. The purpose is to explore the capacity of the sensor array to assign a pattern of aroma to the corresponding release day within a total period of five days. Different procedures of data treatment and analysis are compared in order to achieve the maximum of information of the system under study in conditions where the number of measurements is limited. Raw and normalized sensor signals are processed using various unsupervised and supervised data analysis algorithms such as Principal Component Analysis, Kohonen-Self Organizing Maps, Cluster Analysis, Multiple Discriminant Analysis and two types of Artificial Neural Networks (BP-ANN and RBF-ANN). Accurate assignation of the number of release days is obtained with a successful classification up to four classes associated to samples at increasing days of aroma release. The relative advantages and drawbacks of the different procedures and data manipulations are discussed. © 2009 Elsevier Ltd. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09639969_v43_n3_p797_Rodriguez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aroma release
Chemometric analysis
Electronic noses
Essence encapsulation
Aroma release
Artificial Neural Network
Chemometric analysis
Data analysis algorithms
Data manipulations
Data treatment
Electronic NOSE
Electronic noses
Gel matrix
Kohonen
Multiple discriminant analysis
Sensor signals
Time dependence
Work study
Artificial organs
Cluster analysis
Data handling
Discriminant analysis
Electronic equipment
Self organizing maps
Sensor arrays
Principal component analysis
spellingShingle Aroma release
Chemometric analysis
Electronic noses
Essence encapsulation
Aroma release
Artificial Neural Network
Chemometric analysis
Data analysis algorithms
Data manipulations
Data treatment
Electronic NOSE
Electronic noses
Gel matrix
Kohonen
Multiple discriminant analysis
Sensor signals
Time dependence
Work study
Artificial organs
Cluster analysis
Data handling
Discriminant analysis
Electronic equipment
Self organizing maps
Sensor arrays
Principal component analysis
Rodriguez, S.D.
Monge, M.E.
Olivieri, A.C.
Negri, R.M.
Bernik, D.L.
Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
topic_facet Aroma release
Chemometric analysis
Electronic noses
Essence encapsulation
Aroma release
Artificial Neural Network
Chemometric analysis
Data analysis algorithms
Data manipulations
Data treatment
Electronic NOSE
Electronic noses
Gel matrix
Kohonen
Multiple discriminant analysis
Sensor signals
Time dependence
Work study
Artificial organs
Cluster analysis
Data handling
Discriminant analysis
Electronic equipment
Self organizing maps
Sensor arrays
Principal component analysis
description This work studies the changes along days of the aroma released from a flavour encapsulated in a polysaccharide gel matrix using the electronic nose methodology. The purpose is to explore the capacity of the sensor array to assign a pattern of aroma to the corresponding release day within a total period of five days. Different procedures of data treatment and analysis are compared in order to achieve the maximum of information of the system under study in conditions where the number of measurements is limited. Raw and normalized sensor signals are processed using various unsupervised and supervised data analysis algorithms such as Principal Component Analysis, Kohonen-Self Organizing Maps, Cluster Analysis, Multiple Discriminant Analysis and two types of Artificial Neural Networks (BP-ANN and RBF-ANN). Accurate assignation of the number of release days is obtained with a successful classification up to four classes associated to samples at increasing days of aroma release. The relative advantages and drawbacks of the different procedures and data manipulations are discussed. © 2009 Elsevier Ltd. All rights reserved.
format JOUR
author Rodriguez, S.D.
Monge, M.E.
Olivieri, A.C.
Negri, R.M.
Bernik, D.L.
author_facet Rodriguez, S.D.
Monge, M.E.
Olivieri, A.C.
Negri, R.M.
Bernik, D.L.
author_sort Rodriguez, S.D.
title Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
title_short Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
title_full Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
title_fullStr Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
title_full_unstemmed Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
title_sort time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
url http://hdl.handle.net/20.500.12110/paper_09639969_v43_n3_p797_Rodriguez
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