Articles producció científica> Química Analítica i Química Orgànica

HPLC-UV and HPLC-CAD chromatographic data fusion for the authentication of the geographical origin of palm oil

  • Identification data

    Identifier: imarina:5130988
    Authors:
    Obisesan, Kudirat AbidemiJimenez-Carvelo, Ana M.Cuadros-Rodriguez, LuisRuisanchez, ItziarCallao, M. Pilar
    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.
  • Others:

    Author, as appears in the article.: Obisesan, Kudirat Abidemi; Jimenez-Carvelo, Ana M.; Cuadros-Rodriguez, Luis; Ruisanchez, Itziar; Callao, M. Pilar;
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
    Keywords: Palm oil Multivariate classification Liquid chromatography Data fusion Authentication multivariate classification liquid chromatography data fusion authentication
    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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0039-9140
    Author's mail: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
    Author identifier: 0000-0003-2691-329X 0000-0002-7097-3583
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/submittedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0039914017304563
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Talanta. 170 413-418
    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
    Article's DOI: 10.1016/j.talanta.2017.04.035
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2017
    Publication Type: Journal Publications
  • Keywords:

    Analytical Chemistry,Biochemistry,Chemistry (Miscellaneous),Chemistry, Analytical,Spectroscopy
    Palm oil
    Multivariate classification
    Liquid chromatography
    Data fusion
    Authentication
    multivariate classification
    liquid chromatography
    data fusion
    authentication
    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
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