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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| Jazyk: | spa |
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2025
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| On-line přístup: | https://revistas.uta.edu.ec/erevista/index.php/aci/article/view/2768 |
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| _version_ | 1857829559129341952 |
|---|---|
| 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 |