Articles producció científica> Química Analítica i Química Orgànica

Characterisation of Position-Dependant Ripening Dynamics of Nectarines Using Near-Infrared Spectroscopy and ASCA

  • Datos identificativos

    Identificador:  imarina:9371404
    Autores:  Ezenarro, Jokin; Schorn-Garcia, Daniel; Palou, Anna; Mestres, Montserrat; Acena, Laura; Abadias, Maribel; Aguilo-Aguayo, Ingrid; Busto, Olga; Boque, Ricard
    Resumen:
    Nectarines, a popular pit fruit closely related to peaches, are renowned for their nutritional value and associated health benefits. However, challenges arise in maintaining optimal organoleptic properties during harvest and handling, eventually leading to production waste and heterogeneous quality in the fruit that arrives to the consumer. This study investigates the impact of nectarine position on trees during the whole ripening process using non-destructive near-infrared (NIR) spectroscopy. Nectarines exposed to more sunlight mature faster and this influences sugar content and acidity, emphasising the significance of considering height, prominence and orientation in ripening dynamics of the fruit. Different data unfolding strategies were compared, using ANOVA-Simultaneous Component Analysis (ASCA) to reveal the significance of in-tree position factors at different ripening stages, and observing high significance at harvest. This underscores the necessity for growers and handlers to consider these factors for reducing waste. NIR spectroscopy, with adequate data analysis, is a valuable tool for the holistic analysis of fruit ripening, providing crucial insights for maintaining optimal fruit organoleptic properties from harvest to consumer.
  • Otros:

    e-ISSN: 1099-128X
    Código de proyecto: PID2019-104269RR-C33 and PID2019-104269RR-C31 / MICIU / AEI / 10.13039/501100011033
    Palabras clave: Variability sources; Variability source; Soluble solids concentration; Precision agriculture; Peach (prunus); Peach; Harves; Fruit-quality; Design of experiments (doe); Anova-simultaneous component analysis (asca)
    Fecha de alta del registro: 2025-03-08
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Chemometrics. 38 (9): e3576-
    Referencia de l'ítem segons les normes APA: Ezenarro, Jokin; Schorn-Garcia, Daniel; Palou, Anna; Mestres, Montserrat; Acena, Laura; Abadias, Maribel; Aguilo-Aguayo, Ingrid; Busto, Olga; Boque, R (2024). Characterisation of Position-Dependant Ripening Dynamics of Nectarines Using Near-Infrared Spectroscopy and ASCA. Journal Of Chemometrics, 38(9), e3576-. DOI: 10.1002/cem.3576
    Acrónimo: ALLFRUIT4ALL
    Tipo de publicación: Journal Publications
    Código de projecto 3: 2021PMF-BS-12
    Autor según el artículo: Ezenarro, Jokin; Schorn-Garcia, Daniel; Palou, Anna; Mestres, Montserrat; Acena, Laura; Abadias, Maribel; Aguilo-Aguayo, Ingrid; Busto, Olga; Boque, Ricard
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / EZENARRO GARATE, JOKIN / Mestres Solé, Maria Montserrat / Schorn García, Daniel
    Resumen: Nectarines, a popular pit fruit closely related to peaches, are renowned for their nutritional value and associated health benefits. However, challenges arise in maintaining optimal organoleptic properties during harvest and handling, eventually leading to production waste and heterogeneous quality in the fruit that arrives to the consumer. This study investigates the impact of nectarine position on trees during the whole ripening process using non-destructive near-infrared (NIR) spectroscopy. Nectarines exposed to more sunlight mature faster and this influences sugar content and acidity, emphasising the significance of considering height, prominence and orientation in ripening dynamics of the fruit. Different data unfolding strategies were compared, using ANOVA-Simultaneous Component Analysis (ASCA) to reveal the significance of in-tree position factors at different ripening stages, and observing high significance at harvest. This underscores the necessity for growers and handlers to consider these factors for reducing waste. NIR spectroscopy, with adequate data analysis, is a valuable tool for the holistic analysis of fruit ripening, providing crucial insights for maintaining optimal fruit organoleptic properties from harvest to consumer.
    Áreas temáticas: Statistics & probability; Química; Mathematics, interdisciplinary applications; Matemática / probabilidade e estatística; Interdisciplinar; Instruments & instrumentation; Engenharias iv; Engenharias iii; Engenharias ii; Computer science, artificial intelligence; Ciências agrárias i; Ciência da computação; Chemistry, analytical; Biotecnología; Biodiversidade; Automation & control systems; Astronomia / física; Applied mathematics; Analytical chemistry
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0886-9383
    Direcció de correo del autor: jokin.ezenarro@estudiants.urv.cat; daniel.schorn@urv.cat; daniel.schorn@urv.cat; daniel.schorn@urv.cat; montserrat.mestres@urv.cat; ricard.boque@urv.cat; olga.busto@urv.cat; laura.acena@urv.cat
    Acción del programa de financiació 3: Universitat Rovira i Virgili - Banco Santander
    Codigo del proyecto 2: 2020 FISDU 00221
    Programa de financiación 2: Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya
    Enlace a la fuente original: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3576?af=R
    Programa de financiación: Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y de I+D+i Orientada a los Retos de la Sociedad. Proyectos de I+D+i Retos Investigación 2017-2020
    Programa de financiación 3: Contratos de personal investigador predoctoral en formación
    DOI del artículo: 10.1002/cem.3576
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2024
    Acción del progama de financiación: Ciencias y tecnologías de alimentos
  • Palabras clave:

    Analytical Chemistry,Applied Mathematics,Automation & Control Systems,Chemistry, Analytical,Computer Science, Artificial Intelligence,Instruments & Instrumentation,Mathematics, Interdisciplinary Applications,Statistics & Probability
    Variability sources
    Variability source
    Soluble solids concentration
    Precision agriculture
    Peach (prunus)
    Peach
    Harves
    Fruit-quality
    Design of experiments (doe)
    Anova-simultaneous component analysis (asca)
    Statistics & probability
    Química
    Mathematics, interdisciplinary applications
    Matemática / probabilidade e estatística
    Interdisciplinar
    Instruments & instrumentation
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Computer science, artificial intelligence
    Ciências agrárias i
    Ciência da computação
    Chemistry, analytical
    Biotecnología
    Biodiversidade
    Automation & control systems
    Astronomia / física
    Applied mathematics
    Analytical chemistry
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