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Abstract:

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.

Registro:

Documento: Artículo
Título:Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis
Autor:Rodriguez, S.D.; Monge, M.E.; Olivieri, A.C.; Negri, R.M.; Bernik, D.L.
Filiación:Institute of Physical Chemistry of Materials, Environment and Energy (INQUIMAE), Department of Inorganic, Analytical and Physical Chemistry (DQIAQF), School of Sciences, University of Buenos Aires, Pabellón 2, C1428EGA Buenos Aires, Argentina
Department of Analytical Chemistry, Chemistry Institute of Rosario (IQUIR-CONICET), Faculty of Biochemical and Pharmaceutical Sciences, Rosario, Argentina
Palabras clave: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
Año:2010
Volumen:43
Número:3
Página de inicio:797
Página de fin:804
DOI: http://dx.doi.org/10.1016/j.foodres.2009.11.022
Título revista:Food Research International
Título revista abreviado:Food Res. Int.
ISSN:09639969
CODEN:FORIE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09639969_v43_n3_p797_Rodriguez

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Citas:

---------- APA ----------
Rodriguez, S.D., Monge, M.E., Olivieri, A.C., Negri, R.M. & Bernik, D.L. (2010) . Time dependence of the aroma pattern emitted by an encapsulated essence studied by means of electronic noses and chemometric analysis. Food Research International, 43(3), 797-804.
http://dx.doi.org/10.1016/j.foodres.2009.11.022
---------- CHICAGO ----------
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" . Food Research International 43, no. 3 (2010) : 797-804.
http://dx.doi.org/10.1016/j.foodres.2009.11.022
---------- MLA ----------
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" . Food Research International, vol. 43, no. 3, 2010, pp. 797-804.
http://dx.doi.org/10.1016/j.foodres.2009.11.022
---------- VANCOUVER ----------
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. Food Res. Int. 2010;43(3):797-804.
http://dx.doi.org/10.1016/j.foodres.2009.11.022