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A new internal quality index for mango and its predicción by external visible and near-infrared reflection spectroscopy

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A new internal quality index for mango and its predicción by external visible and near-infrared reflection spectroscopy

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dc.contributor.author Cortés López, Victoria es_ES
dc.contributor.author Ortiz Sánchez, María Coral es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.contributor.author Blasco Ivars, José es_ES
dc.contributor.author Cubero García, Sergio es_ES
dc.contributor.author Talens Oliag, Pau es_ES
dc.date.accessioned 2016-06-20T12:58:24Z
dc.date.available 2016-06-20T12:58:24Z
dc.date.issued 2016-04-27
dc.identifier.issn 0925-5214
dc.identifier.uri http://hdl.handle.net/10251/66179
dc.description.abstract [EN] A non-destructive method based on external visible and near-infrared reflection spectroscopy for determining the internal quality of intact mango cv. ‘Osteen’ was investigated. An internal quality index, well correlated with the ripening index of the samples, was developed based on the combination of a biochemical property (total soluble solids) and physical properties (firmness and flesh colour) of mango samples. The diffuse reflectance spectra of the samples were recorded and used to predict the internal quality and the ripening index. These spectra were obtained using different spectroscopic external measurement sensors involving a spectrometer, capable of measuring in different spectral ranges (600– 1100 nm and 900–1750 nm), and also a spectrocolorimeter that measured in the visible range (400– 700 nm). Three regression models were developed by partial least squares to establish the relationship between spectra and indices. Good results in the prediction of internal quality of the samples were obtained using the full spectral range (Rp 2 = 0.833–0.879, RMSEP = 0.403–0.507 and RPD = 2.341–2.826) and some selected wavelengths (Rp 2 = 0.815–0.896, RMSEP = 0.403–0.537 and RPD = 2.060–2.905). The results obtained from this study revealed that external visible and near-infrared reflection spectroscopy can be used as a non-destructive method to determine the internal quality of mango cv. ‘Osteen’. es_ES
dc.description.sponsorship This work was partially funded by the Conselleria d' Educació, Investigació, Cultura i Esport, Generalitat Valenciana, through the project AICO/2015/122 and by the INIA through the projects RTA2012-00062-C04-01, 02 and 03 with the support of FEDER funds. V. Cortés López thanks the Spanish MEC for the FPU grant (FPU13/04202).
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation GV/AICO/2015/122 a es_ES
dc.relation INIA/RTA2012-00062-C04-01 es_ES
dc.relation INIA/RTA2012-00062-C04-02 es_ES
dc.relation INIA/RTA2012-00062-C04-03 es_ES
dc.relation MEC/FPU13/04202 es_ES
dc.relation.ispartof Postharvest Biology and Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Reflection spectroscopy es_ES
dc.subject Fruit es_ES
dc.subject Quality es_ES
dc.subject Quemometrics es_ES
dc.subject Non-destructive es_ES
dc.subject.classification PRODUCCION VEGETAL es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title A new internal quality index for mango and its predicción by external visible and near-infrared reflection spectroscopy es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.postharvbio. 2016.04.011
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Cortés López, V.; Ortiz Sánchez, MC.; Aleixos Borrás, MN.; Blasco Ivars, J.; Cubero García, S.; Talens Oliag, P. (2016). A new internal quality index for mango and its predicción by external visible and near-infrared reflection spectroscopy. Postharvest Biology and Technology. (118):148-158. doi:10.1016/j.postharvbio. 2016.04.011 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion https://dx.doi.org/10.1016/j.postharvbio.2016.04.011 es_ES
dc.description.upvformatpinicio 148 es_ES
dc.description.upvformatpfin 158 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.issue 118 es_ES
dc.relation.senia 311533 es_ES
dc.contributor.funder Generalitat Valenciana (GV)
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
dc.contributor.funder Ministerio de Educación y Ciencia (MEC)


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