Articles producció científica> Química Analítica i Química Orgànica

An overview of multivariate qualitative methods for food fraud detection

  • Datos identificativos

    Identificador: imarina:5132619
    Autores:
    Pilar Callao, MRuisanchez, Itziar
    Resumen:
    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
  • Otros:

    Autor según el artículo: Pilar Callao, M; Ruisanchez, Itziar
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
    Palabras clave: Validation Multivariate qualitative method Food authentication Food adulteration Data fusion Classification
    Resumen: 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
    Áreas temáticas: 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
    Direcció de correo del autor: mariapilar.callao@urv.cat itziar.ruisanchez@urv.cat
    Identificador del autor: 0000-0003-2691-329X 0000-0002-7097-3583
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0956713517305674
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Food Control. 86 283-293
    Referencia de l'ítem segons les normes 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
    DOI del artículo: 10.1016/j.foodcont.2017.11.034
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2018
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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
  • Documentos:

  • Cerca a google

    Search to google scholar