Articles producció científica> Química Analítica i Química Orgànica

Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies

  • Datos identificativos

    Identificador: imarina:5132206
    Handle: http://hdl.handle.net/20.500.11797/imarina5132206
  • Autores:

    Miaw C., Sena M., Souza S., Callao M., Ruisanchez I.
  • Otros:

    Autor según el artículo: Miaw C., Sena M., Souza S., Callao M., Ruisanchez I.
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Callao Lasmarias, María Pilar / Ruisanchez Capelastegui, María Iciar
    Palabras clave: Simca Pls-da One-class classification Multiclass classification Fruit nectar Food adulteration pls-da one-class classification multiclass classification fruit nectar food adulteration
    Resumen: There is no any doubt about the importance of food fraud control, as it has implications in food safety and in consumer health. Focusing on fruit beverages, some types of adulterations have been detected more frequently, such as substitution with less expensive fruits. A methodology based on attenuated total reflectance Fourier-transform mid-infrared spectroscopy (ATR-FTIR) and multivariate classification was applied to detect whether grape nectars were adulterated by substitution with apple juice or cashew juice. A total of 126 samples were obtained and analyzed. Two strategies were proposed: one-class and multiclass approaches. Soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA) and partial least squares density modeling (PLS-DM) were used to build the models. Among them, PLS-DA presented the best performance with a sensitivity and specificity of nearly 100%. The multiclass strategy was preferred if the adulterants to be studied are known because it provides additional information
    Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Odontología Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências Food science & technology Food science Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, applied Biotecnología Biodiversidade Astronomia / física Analytical chemistry Administração pública e de empresas, ciências contábeis e turismo
    ISSN: 03088146
    Direcció de correo del autor: itziar.ruisanchez@urv.cat mariapilar.callao@urv.cat
    Identificador del autor: 0000-0002-7097-3583 0000-0003-2691-329X
    Fecha de alta del registro: 2023-02-18
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0308814618309671
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Food Chemistry. 266 254-261
    Referencia de l'ítem segons les normes APA: Miaw C., Sena M., Souza S., Callao M., Ruisanchez I. (2018). Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies. Food Chemistry, 266(), 254-261. DOI: 10.1016/j.foodchem.2018.06.006
    DOI del artículo: 10.1016/j.foodchem.2018.06.006
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2018
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Analytical Chemistry,Chemistry, Applied,Food Science,Food Science & Technology,Medicine (Miscellaneous),Nutrition & Dietetics
    Simca
    Pls-da
    One-class classification
    Multiclass classification
    Fruit nectar
    Food adulteration
    pls-da
    one-class classification
    multiclass classification
    fruit nectar
    food adulteration
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Odontología
    Nutrition & dietetics
    Nutrição
    Medicine (miscellaneous)
    Medicina veterinaria
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    Food science & technology
    Food science
    Farmacia
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Chemistry, applied
    Biotecnología
    Biodiversidade
    Astronomia / física
    Analytical chemistry
    Administração pública e de empresas, ciências contábeis e turismo
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