Articles producció científica> Química Analítica i Química Orgànica

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

  • Identification data

    Identifier: imarina:9371404
  • Authors:

    Ezenarro, J.
    Schörn-García, D.
    Palou, A.
    Mestres, M.
    Aceña, L.
    Abadías, M.
    Aguiló-Aguayo, I.
    Busto, O.
    Boqué, R.
  • Others:

    Project code 3: 2021PMF-BS-12
    Author, as appears in the article.: Ezenarro, J.; Schörn-García, D.; Palou, A.; Mestres, M.; Aceña, L.; Abadías, M.; Aguiló-Aguayo, I.; Busto, O.; Boqué, R.
    Department: Química Analítica i Química Orgànica
    e-ISSN: 1099-128X
    URV's Author/s: EZENARRO GARATE, Jokin / Schörn-García, Daniel / Mestres Solé, Montserrat / Aceña Muñoz, Laura / Busto Busto, Olga / Boqué Martí, Ricard
    Project code: PID2019-104269RR-C33 and PID2019-104269RR-C31 / MICIU / AEI / 10.13039/501100011033
    Abstract: 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.
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: jokin.ezenarro@urv.cat
    ISSN: 0886-9383
    Founding program action 3: Universitat Rovira i Virgili - Banco Santander
    Project code 2: 2020 FISDU 00221
    Founding program 2: Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3576?af=R
    Funding program: 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
    Founding program 3: Contratos de personal investigador predoctoral en formación
    Acronym: ALLFRUIT4ALL
    Article's DOI: 10.1002/cem.3576
    Journal publication year: 2024
    Funding program action: Ciencias y tecnologías de alimentos
    Publication Type: Journal Publications
  • Keywords:

    ANOVA-Simultaneous Component Analysis (ASCA) | design of experiments (DoE) | peach (Prunus) | precision agriculture | variability sources
    0886-9383
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