Author, as appears in the article.: Ruisánchez, I.; Obisesan, K.A.; Jiménez-Carvelo, A.M.; Cuadros-Rodriguez, L.; Callao, M.P.
Department: Química Analítica i Química Orgànica
URV's Author/s: RUISANCHEZ CAPELASTEGUI, MARÍA ICIAR; Obisesan, K.A.; Jiménez-Carvelo, A.M.; Cuadros-Rodriguez, L.; CALLAO LASMARIAS, MARÍA PILAR
Keywords: authentication Data Fusion Liquid Chromatography
Abstract: 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.
Research group: Grup de Quimiometria, Qualimetria i Nanosensors
Thematic Areas: Química Química Chemistry
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0039-9140
Author identifier: 0000-0002-7097-3583; n/a; n/a; n/a; 0000-0003-2691-329X
Record's date: 2017-05-18
Last page: 418
Journal volume: 170
Papper version: info:eu-repo/semantics/submittedVersion
Link to the original source: http://www.sciencedirect.com/science/article/pii/S0039914017304563
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1016/j.talanta.2017.04.035
Entity: Universitat Rovira i Virgili
Journal publication year: 2017
First page: 413
Publication Type: Article Artículo Article
Repositori URV