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Monitoring of chlorophylls during the maturation stage of plums by multivariate calibration of RGB data from digital images

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dc.contributor.authorDomínguez Manzano, Jaime
dc.contributor.authorMuñoz de la Peña, Arsenio
dc.contributor.authorDurán Merás, Isabel
dc.contributor.authorMonago Maraña, Olga
dc.date.accessioned2024-05-20T11:17:54Z
dc.date.available2024-05-20T11:17:54Z
dc.date.issued2022-12-22
dc.description.abstractThe methodology developed in this study was based on digital imaging processing of plums harvested in eight different weeks during their ripening process. Mean RGB data, histograms, and matrices of RGB data were used to characterise the ripening stage of the plums, in both qualitative and quantitative approaches, by using classification and quantification chemometric methods. An exploratory analysis of data was performed using principal component analysis (PCA) and parallel factor analysis (PARAFAC) in RGB histograms and matrices data, respectively, showing differences in the colour features since the fourth week of harvesting. In the case of the quantitative approach, high correlation was achieved between the histogram data, using partial least squares (PLS), and total chlorophyll content. In addition, between three-way matrixes and total chlorophyll content, good correlations were obtained applying unfolded-PLS (U-PLS) and N-way-PLS (N-PLS). The most accurate results were obtained on the green channel. Analytical parameters obtained were good, with determination coefficients (R2) higher than 0.91 for all models in the first and second-order multivariate analysis. In addition, relative errors of prediction (REPs) were lower than 12% in all models for the green channel. Therefore, the proposed method was a satisfactory alternative to destructive physiological and biochemical methods in the determination of total chlorophylls in plum samples. In the routine analysis, first-order multivariate calibration with PLS analysis is a good option due to the simplicity of data processing.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.3390/chemosensors11010009
dc.identifier.issneISSN 2227-9040
dc.identifier.urihttps://hdl.handle.net/20.500.14468/11574
dc.journal.titleChemosensors
dc.journal.volume11
dc.language.isoen
dc.publisherMDPI
dc.relation.centerFacultad de Ciencias
dc.relation.departmentCiencias Analíticas
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject.keywordsdigital images
dc.subject.keywordsmultivariate calibration
dc.subject.keywordschlorophylls
dc.subject.keywordsplums
dc.titleMonitoring of chlorophylls during the maturation stage of plums by multivariate calibration of RGB data from digital imageses
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoveryee9ceafc-e763-4814-87ae-e2bb2b43d660
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