Publicación:
Second-order calibration in combination with fluorescence fibre-optic data modelling as a novel approach for monitoring the maturation stage of plums

Vista sencilla de ítem
dc.contributor.authorDomínguez Manzano, Jaime
dc.contributor.authorMuñoz de la Peña, Arsenio
dc.contributor.authorDurán Merás, Isabel
dc.contributor.authorMuñoz de la Peña, Arsenio
dc.contributor.authorMonago Maraña, Olga
dc.date.accessioned2024-05-20T11:17:49Z
dc.date.available2024-05-20T11:17:49Z
dc.date.issued2020-04-15
dc.description.abstractIn this work, non-destructive autofluorescence of plums was employed to study the chlorophylls’ concentration evolution along the maturation process. For that, excitation-emission matrices (EEMs), containing full fluorescence information, were collected with a fibre-optic, assembled to a spectrofluorometer. Data analysis was performed with several second-order multi-way algorithms, such as parallel factor analysis (PARAFAC), multi-way partial least-squares (N-PLS), unfolded partial least-squares (U-PLS), and multivariate curve resolution-alternating least-squares (MCR-ALS). Firstly, the EEMs of each plum, collected each week along the maturation process, were processed with PARAFAC. Two components were used to model the data and the excitation and emission loadings were obtained. Score values for the first PARAFAC component showed a clear evolution with time, increasing during the first five weeks, and decreasing for the last weeks. Also, the chlorophyll concentrations obtained by HPLC analysis, in the skin and the whole fruit, were compared with those obtained with different algorithms mentioned before. Best results were obtained in the case of skin for all algorithms. Similar correlation coefficients (r) were obtained in all cases (0.899 (PARAFAC); 0.940 (U-PLS); 0.936 (N-PLS) and 0.958 (MCR-ALS)). When the elliptical joint confidence region (EJCR), for the slope and intercept, were calculated, the theoretically expected values of 1 and 0, for the slope and intercept, respectively, were included in all ellipses. However, it was observed that for the skin data and U-PLS and N-PLS algorithms, the EJCR confidence region was smaller than in the other cases.en
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.1016/j.chemolab.2020.103980
dc.identifier.issn0169-7439
dc.identifier.urihttps://hdl.handle.net/20.500.14468/11568
dc.journal.titleChemometrics and Intelligent Laboratory Systems
dc.journal.volume199
dc.language.isoen
dc.publisherElsevier
dc.relation.centerFacultad de Ciencias
dc.relation.departmentCiencias Analíticas
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsFibre-optic
dc.subject.keywordsPlums
dc.subject.keywordsAutofluorescence
dc.subject.keywordsSecond-order algorithms
dc.subject.keywordsdiscriminant-analysis
dc.titleSecond-order calibration in combination with fluorescence fibre-optic data modelling as a novel approach for monitoring the maturation stage of plumses
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationee9ceafc-e763-4814-87ae-e2bb2b43d660
relation.isAuthorOfPublication.latestForDiscoveryee9ceafc-e763-4814-87ae-e2bb2b43d660
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Monago_Marana_Olga_2020_Chem.pdf
Tamaño:
496.83 KB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Artículos y papers