MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS

This study analyzes the physical, organoleptic, and nutritional characteristics of the clemenules mandarin, produced in the Plana Baja region of Castellón (Spain). Through tasting tests and statistical analysis, consumers' perception of quality was assessed, identifying the determining factors...

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Hlavní autor: Canelo Barrado, Carlos (author)
Další autoři: Canelo Pérez, Juan (author)
Médium: article
Jazyk:spa
Vydáno: 2025
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On-line přístup:https://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768
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author Canelo Barrado, Carlos
author2 Canelo Pérez, Juan
author2_role author
author_facet Canelo Barrado, Carlos
Canelo Pérez, Juan
author_role author
collection Revista Alimentos Ciencia e Ingeniería
dc.coverage.none.fl_str_mv Artículo original
dc.creator.none.fl_str_mv Canelo Barrado, Carlos
Canelo Pérez, Juan
dc.date.none.fl_str_mv 2025-07-12
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768
10.31243/aci.v32i1.2768
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Técnica de Ambato - FCIAL
dc.relation.none.fl_str_mv https://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768/3232
dc.rights.none.fl_str_mv Derechos de autor 2025 Carlos Canelo Barrado, Juan Canelo Pérez
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv Alimentos Ciencia e Ingeniería; Vol. 32 No. 1 (2025): Alimentos Ciencia e Ingeniería
Alimentos Ciencia e Ingeniería; Vol. 32 Núm. 1 (2025): Alimentos Ciencia e Ingeniería
2737-6338
1390-2180
10.31243/aci.v32i1
reponame:Revista Alimentos Ciencia e Ingeniería
instname:Universidad Técnica de Ambato
instacron:UTA
dc.subject.none.fl_str_mv Mandarina clemenules, perfil sensorial, percepción del consumidor, valor nutricional, alimentación saludable
Clemenules mandarin, sensory profile, consumer perception, nutritional value, healthy eating
dc.title.none.fl_str_mv MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
Definición de identidad y calidad de la mandarina clemenules mediante redes neuronales y análisis multivariante: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Articulo evaluado por pares
description This study analyzes the physical, organoleptic, and nutritional characteristics of the clemenules mandarin, produced in the Plana Baja region of Castellón (Spain). Through tasting tests and statistical analysis, consumers' perception of quality was assessed, identifying the determining factors of the product's quality and identity. More than 200 scientific articles from the last 30 years were reviewed. This study is distinguished by its innovative and objective methodology. While conventional sensory analyses are typically performed in producing areas, this study was conducted in Ávila, a city distant from the production area and with no citrus-growing tradition, minimizing biases associated with geographical proximity to obtain more impartial assessments. In addition to integrating qualitative and quantitative approaches compared to previous studies that have addressed the quality of clemenules from an agronomic, genetic, or sustainability perspective, this work introduces a multi-methodological analysis that combines Content Analysis, inferential methods, and the use of Artificial Neural Networks (ANN). This approach allows for the identification of complex patterns in sensory perception and consumer behavior, providing deeper and more predictive information. The study seeks to identify the sensory characteristics appreciated by consumers, develop a distinctive organoleptic profile, and evaluate its nutritional value in relation to product acceptance and its impact on healthy eating.
eu_rights_str_mv openAccess
format article
id REVACI_287b5ce6783420cdd87a1b69a2fa2e8d
identifier_str_mv 10.31243/aci.v32i1.2768
instacron_str UTA
institution UTA
instname_str Universidad Técnica de Ambato
language spa
network_acronym_str REVACI
network_name_str Revista Alimentos Ciencia e Ingeniería
oai_identifier_str oai:revistas.uta.edu.ec:article/2768
publishDate 2025
publisher.none.fl_str_mv Universidad Técnica de Ambato - FCIAL
reponame_str Revista Alimentos Ciencia e Ingeniería
repository.mail.fl_str_mv .
repository.name.fl_str_mv Revista Alimentos Ciencia e Ingeniería - Universidad Técnica de Ambato
repository_id_str 0
rights_invalid_str_mv Derechos de autor 2025 Carlos Canelo Barrado, Juan Canelo Pérez
https://creativecommons.org/licenses/by-nc/4.0
spelling MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINSDefinición de identidad y calidad de la mandarina clemenules mediante redes neuronales y análisis multivariante: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINSCanelo Barrado, CarlosCanelo Pérez, JuanMandarina clemenules, perfil sensorial, percepción del consumidor, valor nutricional, alimentación saludableClemenules mandarin, sensory profile, consumer perception, nutritional value, healthy eatingThis study analyzes the physical, organoleptic, and nutritional characteristics of the clemenules mandarin, produced in the Plana Baja region of Castellón (Spain). Through tasting tests and statistical analysis, consumers' perception of quality was assessed, identifying the determining factors of the product's quality and identity. More than 200 scientific articles from the last 30 years were reviewed. This study is distinguished by its innovative and objective methodology. While conventional sensory analyses are typically performed in producing areas, this study was conducted in Ávila, a city distant from the production area and with no citrus-growing tradition, minimizing biases associated with geographical proximity to obtain more impartial assessments. In addition to integrating qualitative and quantitative approaches compared to previous studies that have addressed the quality of clemenules from an agronomic, genetic, or sustainability perspective, this work introduces a multi-methodological analysis that combines Content Analysis, inferential methods, and the use of Artificial Neural Networks (ANN). This approach allows for the identification of complex patterns in sensory perception and consumer behavior, providing deeper and more predictive information. The study seeks to identify the sensory characteristics appreciated by consumers, develop a distinctive organoleptic profile, and evaluate its nutritional value in relation to product acceptance and its impact on healthy eating.Este estudio analiza las características físicas, organolépticas y el potencial nutricional de la mandarina clemenules, producida en la comarca de la Plana Baja de Castellón (España). A través de catas-test y análisis estadísticos, se evaluó la percepción de calidad por los consumidores, identificando los factores determinantes de la calidad e identidad del producto. Se han revisado más de 200 artículos científicos de los últimos 30 años y en relación con ello este estudio se distingue por una metodología innovadora y objetiva, mientras que los análisis sensoriales convencionales suelen realizarse en zonas productoras, este estudio se llevó a cabo en Ávila, una ciudad distante de la zona de producción y sin tradición citrícola, minimizando sesgos asociados a la proximidad geográfica para obtener valoraciones más imparciales. Además se han integrado enfoques cualitativos y cuantitativos frente a estudios previos que han abordado la calidad del clemenules desde una perspectiva agronómica, genética o de sostenibilidad, este trabajo introduce un análisis multimetodológico que combina Análisis de Contenido, métodos inferenciales y el uso de Redes Neuronales Artificiales (RNA). Esta aproximación permite identificar patrones complejos en la percepción sensorial y el comportamiento del consumidor, proporcionando información más profunda y predictiva. El estudio busca identificar las características sensoriales apreciadas por los consumidores, desarrollar un perfil organoléptico distintivo y evaluar su valor nutricional en relación con la aceptación del producto y su impacto en la alimentación saludable.Universidad Técnica de Ambato - FCIAL2025-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArticulo evaluado por paresapplication/pdfhttps://revistas.uta.edu.ec/erevista/index.php/aci/article/view/276810.31243/aci.v32i1.2768Alimentos Ciencia e Ingeniería; Vol. 32 No. 1 (2025): Alimentos Ciencia e IngenieríaAlimentos Ciencia e Ingeniería; Vol. 32 Núm. 1 (2025): Alimentos Ciencia e Ingeniería2737-63381390-218010.31243/aci.v32i1reponame:Revista Alimentos Ciencia e Ingenieríainstname:Universidad Técnica de Ambatoinstacron:UTAspahttps://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768/3232Artículo originalDerechos de autor 2025 Carlos Canelo Barrado, Juan Canelo Pérezhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2026-01-22T09:10:03Zoai:revistas.uta.edu.ec:article/2768Portal de revistashttps://revistas.uta.edu.ec/erevista/index.php/aciUniversidad públicahttps://uta.edu.ec/v4.0/index.php/servicios-web.Ecuador.2737-63381390-2180opendoar:02026-01-22T09:10:03falsePortal de revistashttps://revistas.uta.edu.ec/erevista/index.php/aciUniversidad públicahttps://uta.edu.ec/v4.0/index.php/servicios-web..Ecuador.2737-63381390-2180opendoar:02026-01-22T09:10:03Revista Alimentos Ciencia e Ingeniería - Universidad Técnica de Ambatofalse
spellingShingle MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
Canelo Barrado, Carlos
Mandarina clemenules, perfil sensorial, percepción del consumidor, valor nutricional, alimentación saludable
Clemenules mandarin, sensory profile, consumer perception, nutritional value, healthy eating
status_str publishedVersion
title MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
title_full MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
title_fullStr MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
title_full_unstemmed MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
title_short MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
title_sort MULTIVARIATE ANALYSIS AND ARTIFICIAL NEURONAL NETWORKS TO DEFINE THE IDENTITY TRAITS AND QUALITY PROFILE OF MANDARIN CLEMENULES: MVA AND ANN FOR THE IDENTITY AND QUALITY OF CLEMENTINE MANDARINS
topic Mandarina clemenules, perfil sensorial, percepción del consumidor, valor nutricional, alimentación saludable
Clemenules mandarin, sensory profile, consumer perception, nutritional value, healthy eating
url https://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768