Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)

Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)

Lulo or naranjilla (Solanum quitoense Lam.) is a tropical fruit with great potential for its contents of antioxidant and biofunctional compounds and sensory characteristics. Nowadays, the different methodologies to classify the ripening stage of lulo fruits are prone to bias and can hinder adequate characterization of the fruit maturity stage as they do not use measurements. The aim of this research was to define an accurate method for classifying lulo fruits by ripening stage based on non-destructive parameters and to determine their main characteristics according to the ripening stage. Hierarchical cluster analysis was carried out to classify fruits according to their maturity index (MI) into two (MI2) and three (MI3) homogeneous groups of individuals. Using partial least squares discriminant analysis (PLS-DA), with the non-destructive parameters showing significant differences between groups, classification functions by ripening stage were established. The PLS-DA correctly classified 89.47% of the fruits in the MI2 classification and 78.95% in the MI3 classification. The predictive power of the models was tested with fruits other than those used to establish the prediction equations, obtaining a correct classification in 75% of the cases. It is possible to classify lulo fruits objectively with a limited number of non-destructive parameters that constitutes a useful tool from harvesting to consumption.

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Bibliographic Details
Main Authors: González-Bonilla, Sofía Marcela, Marín-Arroyo, María Remedios
Format: Digital revista
Language:eng
Published: Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias Agrarias 2022
Online Access:https://revistas.unal.edu.co/index.php/agrocol/article/view/103082
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record_format ojs
institution UNAL
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country Colombia
countrycode CO
component Revista
access En linea
databasecode rev-agrocol
tag revista
region America del Sur
libraryname Sistema Nacional de Bibliotecas de la UNAL
language eng
format Digital
author González-Bonilla, Sofía Marcela
Marín-Arroyo, María Remedios
spellingShingle González-Bonilla, Sofía Marcela
Marín-Arroyo, María Remedios
Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
author_facet González-Bonilla, Sofía Marcela
Marín-Arroyo, María Remedios
author_sort González-Bonilla, Sofía Marcela
title Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
title_short Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
title_full Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
title_fullStr Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
title_full_unstemmed Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA)
title_sort characterization and classification of lulo (solanum quitoense lam.) fruits by ripening stage using partial least squares discriminant analysis (pls-da)
description Lulo or naranjilla (Solanum quitoense Lam.) is a tropical fruit with great potential for its contents of antioxidant and biofunctional compounds and sensory characteristics. Nowadays, the different methodologies to classify the ripening stage of lulo fruits are prone to bias and can hinder adequate characterization of the fruit maturity stage as they do not use measurements. The aim of this research was to define an accurate method for classifying lulo fruits by ripening stage based on non-destructive parameters and to determine their main characteristics according to the ripening stage. Hierarchical cluster analysis was carried out to classify fruits according to their maturity index (MI) into two (MI2) and three (MI3) homogeneous groups of individuals. Using partial least squares discriminant analysis (PLS-DA), with the non-destructive parameters showing significant differences between groups, classification functions by ripening stage were established. The PLS-DA correctly classified 89.47% of the fruits in the MI2 classification and 78.95% in the MI3 classification. The predictive power of the models was tested with fruits other than those used to establish the prediction equations, obtaining a correct classification in 75% of the cases. It is possible to classify lulo fruits objectively with a limited number of non-destructive parameters that constitutes a useful tool from harvesting to consumption.
publisher Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias Agrarias
publishDate 2022
url https://revistas.unal.edu.co/index.php/agrocol/article/view/103082
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spelling oai:www.revistas.unal.edu.co:article-1030822023-04-11T22:08:30Z Characterization and classification of lulo (Solanum quitoense Lam.) fruits by ripening stage using partial least squares discriminant analysis (PLS-DA) Caracterización y clasificación de frutos de lulo (Solanum quitoense Lam.) por estado de maduración mediante análisis discriminante de mínimos cuadrados parciales (PLS-DA) González-Bonilla, Sofía Marcela Marín-Arroyo, María Remedios naranjilla maturity index ripening stage prediction tropical fruits food technology naranjilla índice de madurez predicción del estado de madurez frutos tropicales Lulo or naranjilla (Solanum quitoense Lam.) is a tropical fruit with great potential for its contents of antioxidant and biofunctional compounds and sensory characteristics. Nowadays, the different methodologies to classify the ripening stage of lulo fruits are prone to bias and can hinder adequate characterization of the fruit maturity stage as they do not use measurements. The aim of this research was to define an accurate method for classifying lulo fruits by ripening stage based on non-destructive parameters and to determine their main characteristics according to the ripening stage. Hierarchical cluster analysis was carried out to classify fruits according to their maturity index (MI) into two (MI2) and three (MI3) homogeneous groups of individuals. Using partial least squares discriminant analysis (PLS-DA), with the non-destructive parameters showing significant differences between groups, classification functions by ripening stage were established. The PLS-DA correctly classified 89.47% of the fruits in the MI2 classification and 78.95% in the MI3 classification. The predictive power of the models was tested with fruits other than those used to establish the prediction equations, obtaining a correct classification in 75% of the cases. It is possible to classify lulo fruits objectively with a limited number of non-destructive parameters that constitutes a useful tool from harvesting to consumption. El lulo o naranjilla (Solanum quitoense Lam.) es una fruta tropical con un gran potencial debido a su contenido de compuestos antioxidantes, biofuncionales y características sensoriales. Actualmente las diferentes formas de clasificación por estado de maduración del fruto de lulo son propensas a sesgos y dificultan una adecuada caracterización de la madurez del fruto ya que no utilizan un método de medida. El objetivo de esta investigación fue proponer un método para clasificar los frutos de lulo por estado de madurez a partir de parámetros no destructivos y determinar las principales características según su madurez. Se realizaron análisis de clúster jerárquicos para clasificar los frutos según el índice de madurez (MI), en dos (MI2) y tres (MI3) grupos homogéneos de individuos. Mediante análisis discriminante por mínimos cuadrados parciales (PLS-DA), con los parámetros no destructivos que mostraron diferencias significativas entre grupos, se establecieron funciones de clasificación según su grado de madurez. El PLS-DA clasificó correctamente el 89.47% de los frutos en la clasificación MI2 y el 78.95% en la clasificación MI3. El poder predictivo de los modelos se comprobó con frutos distintos a los utilizados para establecer las ecuaciones de predicción, obteniendo una clasificación correcta en el 75% de los casos. Es posible clasificar frutos de lulo de forma objetiva con un número limitado de parámetros no destructivos, lo que constituye una herramienta útil desde la cosecha de los frutos hasta su consumo. Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias Agrarias 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unal.edu.co/index.php/agrocol/article/view/103082 10.15446/agron.colomb.v40n3.103082 Agronomía Colombiana; Vol. 40 No. 3 (2022); 419-428 Agronomía Colombiana; Vol. 40 Núm. 3 (2022); 419-428 Agronomía Colombiana; v. 40 n. 3 (2022); 419-428 2357-3732 0120-9965 eng https://revistas.unal.edu.co/index.php/agrocol/article/view/103082/85695 https://creativecommons.org/licenses/by-nc-sa/4.0

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