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Detection of several common adulterants in raw milk by MID-infrared spectroscopy and one-class and multi-class multivariate strategies

  • Datos identificativos

    Identificador: PC:2713
    Autores:
    Ruisánchez, I.Gondim, C.D.S.Junqueira, R.G.Souza, S.V.C.D.Callao, M.P.
    Resumen:
    Filiació URV: SI
  • Otros:

    Autor según el artículo: Ruisánchez, I.; Gondim, C.D.S.; Junqueira, R.G.; Souza, S.V.C.D.; Callao, M.P.
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: RUISANCHEZ CAPELASTEGUI, MARÍA ICIAR; Gondim, C.D.S.; Junqueira, R.G.; Souza, S.V.C.D.; CALLAO LASMARIAS, MARÍA PILAR
    Palabras clave: Milk adulteration Adulterant detection
    Resumen: A sequential strategy was proposed to detect adulterants in milk using a mid-infrared spectroscopy and soft independent modelling of class analogy technique. Models were set with low target levels of adulterations including formaldehyde (0.074 g.L−1), hydrogen peroxide (21.0 g.L−1), bicarbonate (4.0 g.L−1), carbonate (4.0 g.L−1), chloride (5.0 g.L−1), citrate (6.5 g.L−1), hydroxide (4.0 g.L−1), hypochlorite (0.2 g.L−1), starch (5.0 g.L−1), sucrose (5.4 g.L−1) and water (150 g.L−1). In the first step, a one-class model was developed with unadulterated samples, providing 93.1% sensitivity. Four poorly assigned adulterants were discarded for the following step (multi-class modelling). Then, in the second step, a multi-class model, which considered unadulterated and formaldehyde-, hydrogen peroxide-, citrate-, hydroxide- and starch-adulterated samples was implemented, providing 82% correct classifications, 17% inconclusive classifications and 1% misclassifications. The proposed strategy was considered efficient as a screening approach since it would reduce the number of samples subjected to confirmatory analysis, time, costs and errors.
    Grupo de investigación: Grup de Quimiometria, Qualimetria i Nanosensors
    Áreas temáticas: Química Química Chemistry
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0308-8146
    Identificador del autor: ; 0000-0003-0889-6596; n/a; n/a;
    Fecha de alta del registro: 2017-04-20
    Página final: 75
    Volumen de revista: 230
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: http://www.sciencedirect.com/science/article/pii/S0308814617303874
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1016/j.foodchem.2017.03.022
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2017
    Página inicial: 68
    Tipo de publicación: Article Artículo Article
  • Palabras clave:

    Llet -- Adulteració i inspecció
    Espectroscòpia infraroja
    Milk adulteration
    Adulterant detection
    Química
    Química
    Chemistry
    0308-8146
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