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

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