Articles producció científicaQuímica Analítica i Química Orgànica

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

  • Dades identificatives

    Identificador:  imarina:9371404
    Autors:  Ezenarro, Jokin; Schorn-Garcia, Daniel; Palou, Anna; Mestres, Montserrat; Acena, Laura; Abadias, Maribel; Aguilo-Aguayo, Ingrid; Busto, Olga; Boque, Ricard
    Resum:
    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.
  • Altres:

    Enllaç font original: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3576?af=R
    Referència a l'article segons font original: Journal Of Chemometrics. 38 (9): e3576-
    Codi de projecte 3: 2021PMF-BS-12
    Entitat: Universitat Rovira i Virgili
    Data d'alta del registre: 2025-03-08
    Autor/s de la URV: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / EZENARRO GARATE, JOKIN / Mestres Solé, Maria Montserrat / Schorn García, Daniel
    Codi del projecte 2: 2020 FISDU 00221
    Departament: Química Analítica i Química Orgànica
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Programa de finançament 3: Contratos de personal investigador predoctoral en formación
    ISSN: 0886-9383
    Programa de finançament 2: Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    e-ISSN: 1099-128X
    Àrees temàtiques: 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
    Acció del programa de finançament: Ciencias y tecnologías de alimentos
    Referència 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
    DOI de l'article: 10.1002/cem.3576
    Acció del programa de finançament 3: Universitat Rovira i Virgili - Banco Santander
    Programa de finançament: 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
    Any de publicació de la revista: 2024
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Acrònim: ALLFRUIT4ALL
    Autor segons l'article: Ezenarro, Jokin; Schorn-Garcia, Daniel; Palou, Anna; Mestres, Montserrat; Acena, Laura; Abadias, Maribel; Aguilo-Aguayo, Ingrid; Busto, Olga; Boque, Ricard
    Codi de projecte: PID2019-104269RR-C33 and PID2019-104269RR-C31 / MICIU / AEI / 10.13039/501100011033
    Adreça de correu electrònic de l'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
  • Paraules clau:

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