A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training

A mathematical procedure including Canonical Correlation, Factor and cluster analysis and Multiple Regression was designed to study whether two different sensory panels, with different levels of training, could be considered as a unity. Among others, correlations between each attribute of both panel...

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Main Authors: R. Aparicio, F. Gutiérrez, J. Rodríguez
Format: Article
Language:English
Published: Consejo Superior de Investigaciones Científicas 1991-06-01
Series:Grasas y Aceites
Subjects:
Online Access:http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1245
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spelling doaj-cc63abafa82046e48b7837f6fd8839c22021-05-05T07:28:37ZengConsejo Superior de Investigaciones CientíficasGrasas y Aceites0017-34951988-42141991-06-0142320221010.3989/gya.1991.v42.i3.12451222A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in trainingR. Aparicio0F. Gutiérrez1J. Rodríguez2Instituto de la Grasa y sus Derivados (CSIC)Instituto de la Grasa y sus Derivados (CSIC)Instituto de la Grasa y sus Derivados (CSIC)A mathematical procedure including Canonical Correlation, Factor and cluster analysis and Multiple Regression was designed to study whether two different sensory panels, with different levels of training, could be considered as a unity. Among others, correlations between each attribute of both panels, matrices of partial correlations, variance explained by the most important factors and similarity among clusters were computed as the procedure to evaluate if a Panel in training works as well as an expertise. In addition, every one of the factors was correlated with the final evaluation of quality for analyzing the interrelationship between the profile notes and the grading table of virgin olive oil quality from a mathematical point of view. Finally, a stepwise multiple correlation analyzes how the panels modeled the evaluated samples. Promising directions for future research are also suggested.http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1245analytical panelchemometrics studyvirgin olive oil
collection DOAJ
language English
format Article
sources DOAJ
author R. Aparicio
F. Gutiérrez
J. Rodríguez
spellingShingle R. Aparicio
F. Gutiérrez
J. Rodríguez
A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
Grasas y Aceites
analytical panel
chemometrics study
virgin olive oil
author_facet R. Aparicio
F. Gutiérrez
J. Rodríguez
author_sort R. Aparicio
title A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
title_short A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
title_full A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
title_fullStr A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
title_full_unstemmed A chemometrics study of analytical panels in virgin olive oil. An approach for evaluating panels in training
title_sort chemometrics study of analytical panels in virgin olive oil. an approach for evaluating panels in training
publisher Consejo Superior de Investigaciones Científicas
series Grasas y Aceites
issn 0017-3495
1988-4214
publishDate 1991-06-01
description A mathematical procedure including Canonical Correlation, Factor and cluster analysis and Multiple Regression was designed to study whether two different sensory panels, with different levels of training, could be considered as a unity. Among others, correlations between each attribute of both panels, matrices of partial correlations, variance explained by the most important factors and similarity among clusters were computed as the procedure to evaluate if a Panel in training works as well as an expertise. In addition, every one of the factors was correlated with the final evaluation of quality for analyzing the interrelationship between the profile notes and the grading table of virgin olive oil quality from a mathematical point of view. Finally, a stepwise multiple correlation analyzes how the panels modeled the evaluated samples. Promising directions for future research are also suggested.
topic analytical panel
chemometrics study
virgin olive oil
url http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1245
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AT raparicio chemometricsstudyofanalyticalpanelsinvirginoliveoilanapproachforevaluatingpanelsintraining
AT fgutierrez chemometricsstudyofanalyticalpanelsinvirginoliveoilanapproachforevaluatingpanelsintraining
AT jrodriguez chemometricsstudyofanalyticalpanelsinvirginoliveoilanapproachforevaluatingpanelsintraining
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