Autor según el artículo: Ruisánchez, I.; Obisesan, K.A.; Jiménez-Carvelo, A.M.; Cuadros-Rodriguez, L.; Callao, M.P.
Departamento: Química Analítica i Química Orgànica
Autor/es de la URV: RUISANCHEZ CAPELASTEGUI, MARÍA ICIAR; Obisesan, K.A.; Jiménez-Carvelo, A.M.; Cuadros-Rodriguez, L.; CALLAO LASMARIAS, MARÍA PILAR
Palabras clave: authentication Data Fusion Liquid Chromatography
Resumen: Data fusion combined with a multivariate classification approach (partial least squares-discriminant analysis, PLS-DA) was applied to authenticate the geographical origin of palm oil. Data fusion takes advantage of the synergistic effect of information collected from more than one data source. In this study, data from liquid chromatography coupled to two detectors –ultraviolet (UV) and charged aerosol (CAD)– was fused by high- and mid-level data fusion strategies. Mid-level data fusion combines a few variables from each technique and then applies the classification technique. Principal component analysis and interval partial least squares were applied to obtain the variables selected. High-level data fusion combines the PLS-DA classification results obtained individually from the chromatographic technique with each detector. Fuzzy aggregation connective operators were used to make the combinations. Prediction rates varied between 73% and 98% for the individual techniques and between 87% and 100% and 93% and 100% for the mid- and high-level data fusion strategies, respectively.
Grupo de investigación: Grup de Quimiometria, Qualimetria i Nanosensors
Áreas temáticas: Química Química Chemistry
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0039-9140
Identificador del autor: 0000-0002-7097-3583; n/a; n/a; n/a; 0000-0003-2691-329X
Fecha de alta del registro: 2017-05-18
Página final: 418
Volumen de revista: 170
Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
Enlace a la fuente original: http://www.sciencedirect.com/science/article/pii/S0039914017304563
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1016/j.talanta.2017.04.035
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Página inicial: 413
Tipo de publicación: Article Artículo Article
Repositori URV