Autor segons l'article: Obisesan, Kudirat Abidemi; Jimenez-Carvelo, Ana M.; Cuadros-Rodriguez, Luis; Ruisanchez, Itziar; Callao, M. Pilar;
Departament: Química Analítica i Química Orgànica
Autor/s de la URV: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
Paraules clau: Palm oil Multivariate classification Liquid chromatography Data fusion Authentication multivariate classification liquid chromatography data fusion authentication
Resum: 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.
Àrees temàtiques: Zootecnia / recursos pesqueiros Spectroscopy Saúde coletiva Química Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Interdisciplinar Geociências General medicine General chemistry Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Chemistry, analytical Chemistry (miscellaneous) Biotecnología Biodiversidade Biochemistry Astronomia / física Analytical chemistry Administração pública e de empresas, ciências contábeis e turismo
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0039-9140
Adreça de correu electrònic de l'autor: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
Identificador de l'autor: 0000-0003-2691-329X 0000-0002-7097-3583
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0039914017304563
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Talanta. 170 413-418
Referència de l'ítem segons les normes APA: Obisesan, Kudirat Abidemi; Jimenez-Carvelo, Ana M.; Cuadros-Rodriguez, Luis; Ruisanchez, Itziar; Callao, M. Pilar; (2017). HPLC-UV and HPLC-CAD chromatographic data fusion for the authentication of the geographical origin of palm oil. Talanta, 170(), 413-418. DOI: 10.1016/j.talanta.2017.04.035
DOI de l'article: 10.1016/j.talanta.2017.04.035
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Tipus de publicació: Journal Publications
Repositori URV