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Visible and near-infrared diffuse reflectance spectroscopy for fast qualitative and quantitative assessment of nectarine quality

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Visible and near-infrared diffuse reflectance spectroscopy for fast qualitative and quantitative assessment of nectarine quality

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dc.contributor.author Cortes-Lopez, Victoria es_ES
dc.contributor.author Blasco Ivars, José es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.contributor.author Cubero García, Sergio es_ES
dc.contributor.author Talens Oliag, Pau es_ES
dc.date.accessioned 2018-10-15T04:33:47Z
dc.date.available 2018-10-15T04:33:47Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1935-5130 es_ES
dc.identifier.uri http://hdl.handle.net/10251/110348
dc.description.abstract [EN] Visible and near-infrared spectroscopy has been widely used as a non-invasive and rapid-assessment technique for the quality control of agricultural products. In this study, 325 samples of nectarines representing two commercial varieties, cv. 'Big Top' and cv. 'Magique', were analysed by visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR). The spectral data were pre-treated and analysed to predict the internal quality of the samples and to discriminate between the two varieties. Good prediction of the internal quality of the samples, using partial least-squares regressions, was observed for both (R (2) (P) of 0.909 and 0.927 and RMSEP of 0.235 and 0.238 for cv. Big Top and Magique, respectively). Discriminant models, using linear discriminant and partial least-squares discriminant analyses, were built to classify the nectarines. Both methods provided good results with rates of 97.44 and 100% of correctly classified samples. The results indicated that visible and near-infrared techniques can be useful and simple methods for quality control and for the correct identification of nectarines in commercial lines as an alternative to the slower and less accurate manual classification. es_ES
dc.description.sponsorship This work was partially funded by the Generalitat Valenciana through project AICO/2015/122 and by the INIA and FEDER funds through projects RTA2012-00062-C04-01 and 03, and RTA2015-00078-00-00. Victoria Lopez Cortes thanks the Spanish Ministry of Education, Culture and Sports for the FPU grant (FPU13/04202). The authors are also grateful to Fruits de Ponent (Lerida) for providing the fruit. en_EN
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Food and Bioprocess Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fruit quality es_ES
dc.subject Spectroscopy es_ES
dc.subject Nectarine es_ES
dc.subject Chemometrics es_ES
dc.subject Prediction es_ES
dc.subject Discrimination es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.title Visible and near-infrared diffuse reflectance spectroscopy for fast qualitative and quantitative assessment of nectarine quality es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11947-017-1943-y es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GV//AICO/2015/122/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2015-00078-00-00/ES/Sistemas no destructivos para la determinación automática de la calidad interna de frutas en línea utilizando métodos ópticos e información espectral/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-03/ES/Nuevas técnicas de inspección basadas en visión por computador multiespectral para la estimación de propiedades y determinación automática de la calidad y sanidad de la producción agroalimentaria en líneas de inspección y manipulación (VIS-DACSA)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//AICO%2F2015%2F122/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/INIA//RTA2015-00078-00-00/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F04202/ES/FPU13%2F04202/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-01/ES/Nuevas técnicas de inspección basadas en espectrometría para la estimación de propiedades y determinación automática de la calidad interna y sanidad de productos agroalimentarios aplicadas a líneas de inspección y manipulación (SPEC-DACSA)/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica 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 Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària es_ES
dc.description.bibliographicCitation Cortes-Lopez, V.; Blasco Ivars, J.; Aleixos Borrás, MN.; Cubero García, S.; Talens Oliag, P. (2017). Visible and near-infrared diffuse reflectance spectroscopy for fast qualitative and quantitative assessment of nectarine quality. Food and Bioprocess Technology. 10(10):1755-1766. https://doi.org/10.1007/s11947-017-1943-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11947-017-1943-y es_ES
dc.description.upvformatpinicio 1755 es_ES
dc.description.upvformatpfin 1766 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 10 es_ES
dc.relation.pasarela S\342378 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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