Articles producció científica> Química Analítica i Química Orgànica

An overview of multivariate qualitative methods for food fraud detection

  • Identification data

    Identifier: imarina:5132619
    Authors:
    Pilar Callao, MRuisanchez, Itziar
    Abstract:
    Multivariate qualitative methods are an analytical strategy for addressing problems related to food fraud that cannot be solved with just one variable. Some examples are sample authentication since the required response is complex in nature and sample adulteration, when knowing the concentration of adulterant is not looked for. Establishing a multivariate qualitative method involves several steps: data collection, pre-treatment, exploration techniques, classification techniques, and method validation. When more than one data source is available, data fusion can be apply to improve the results of a single technique. This review describes the state of the art of multivariate qualitative analysis for determining food fraud, and differentiates between authentication and adulteration. All the mentioned steps are discussed and, as example, recently published papers are commented
  • Others:

    Author, as appears in the article.: Pilar Callao, M; Ruisanchez, Itziar
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
    Keywords: Validation Multivariate qualitative method Food authentication Food adulteration Data fusion Classification
    Abstract: Multivariate qualitative methods are an analytical strategy for addressing problems related to food fraud that cannot be solved with just one variable. Some examples are sample authentication since the required response is complex in nature and sample adulteration, when knowing the concentration of adulterant is not looked for. Establishing a multivariate qualitative method involves several steps: data collection, pre-treatment, exploration techniques, classification techniques, and method validation. When more than one data source is available, data fusion can be apply to improve the results of a single technique. This review describes the state of the art of multivariate qualitative analysis for determining food fraud, and differentiates between authentication and adulteration. All the mentioned steps are discussed and, as example, recently published papers are commented
    Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Nutrição Medicina veterinaria Medicina ii Materiais Interdisciplinar Geociências Food science & technology Food science Farmacia Ensino Engenharias iii Engenharias ii Engenharias i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biotechnology & applied microbiology Biotechnology Biodiversidade Astronomia / física Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
    ISSN: 09567135
    Author's mail: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
    Author identifier: 0000-0003-2691-329X 0000-0002-7097-3583
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0956713517305674
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Food Control. 86 283-293
    APA: Pilar Callao, M; Ruisanchez, Itziar (2018). An overview of multivariate qualitative methods for food fraud detection. Food Control, 86(), 283-293. DOI: 10.1016/j.foodcont.2017.11.034
    Article's DOI: 10.1016/j.foodcont.2017.11.034
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Biotechnology,Biotechnology & Applied Microbiology,Food Science,Food Science & Technology
    Validation
    Multivariate qualitative method
    Food authentication
    Food adulteration
    Data fusion
    Classification
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Nutrição
    Medicina veterinaria
    Medicina ii
    Materiais
    Interdisciplinar
    Geociências
    Food science & technology
    Food science
    Farmacia
    Ensino
    Engenharias iii
    Engenharias ii
    Engenharias i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biotechnology & applied microbiology
    Biotechnology
    Biodiversidade
    Astronomia / física
    Administração, ciências contábeis e turismo
    Administração pública e de empresas, ciências contábeis e turismo
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