Articles producció científica> Química Analítica i Química Orgànica

Establishing time stability for multivariate qualitative methods. Case study: Sudan I and IV adulteration in food spices

  • Identification data

    Identifier: imarina:5132205
    Authors:
    Vera, Dainis NRuisanchez, ItziarPilar Callao, M
    Abstract:
    A multivariate qualitative method using UV-visible spectroscopic data and a PLS-DA chemometric treatment was proposed to identify whether paprika samples were adulterated with Sudan I and Sudan IV dyes, or their mixtures. The method was validated by calculating the main performance parameters (sensitivity and specificity) and determining the stability over time. Three classes were defined: unadulterated samples (class 1), samples adulterated with Sudan I (class 2) and samples adulterated with Sudan IV (class 3). A total of 81 samples belonging to these classes were analyzed. There was also an additional data set consisting of 54 samples adulterated with a mixture of two dyes at two different concentration levels, which were analyzed and predicted with the established models. In addition, all 135 samples were analyzed at different times over a 6-month period to study the model's stability over time. In general, the main performance parameters were very satisfactory. As far as training samples is concerned, sensitivity was 100% for the three classes studied. And specificity was 100% for the unadulterated class and for the adulterated with Sudan IV class, and slightly lower (96%) for the adulterated with Sudan I class. Regarding samples from the additional set, excellent specificities were obtained because no samples were assigned to the unadulterated class. In addition, sensitivity was close to 100% for the Sudan IV class and around 75% for the Sudan I class. All the main performance parameters were maintained throughout the 6 months of the study.
  • Others:

    Author, as appears in the article.: Vera, Dainis N; Ruisanchez, Itziar; Pilar Callao, M
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Callao Lasmarias, María Pilar / Ruisánchez Capelastegui, María Iciar
    Keywords: Time stability Sudan dyes Pls-da Multivariate classification Multivariate calssification Individual and blends adulterants Food adulteration
    Abstract: A multivariate qualitative method using UV-visible spectroscopic data and a PLS-DA chemometric treatment was proposed to identify whether paprika samples were adulterated with Sudan I and Sudan IV dyes, or their mixtures. The method was validated by calculating the main performance parameters (sensitivity and specificity) and determining the stability over time. Three classes were defined: unadulterated samples (class 1), samples adulterated with Sudan I (class 2) and samples adulterated with Sudan IV (class 3). A total of 81 samples belonging to these classes were analyzed. There was also an additional data set consisting of 54 samples adulterated with a mixture of two dyes at two different concentration levels, which were analyzed and predicted with the established models. In addition, all 135 samples were analyzed at different times over a 6-month period to study the model's stability over time. In general, the main performance parameters were very satisfactory. As far as training samples is concerned, sensitivity was 100% for the three classes studied. And specificity was 100% for the unadulterated class and for the adulterated with Sudan IV class, and slightly lower (96%) for the adulterated with Sudan I class. Regarding samples from the additional set, excellent specificities were obtained because no samples were assigned to the unadulterated class. In addition, sensitivity was close to 100% for the Sudan IV class and around 75% for the Sudan I class. All the main performance parameters were maintained throughout the 6 months of the study.
    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/S0956713518302202
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Food Control. 92 341-347
    APA: Vera, Dainis N; Ruisanchez, Itziar; Pilar Callao, M (2018). Establishing time stability for multivariate qualitative methods. Case study: Sudan I and IV adulteration in food spices. Food Control, 92(), 341-347. DOI: 10.1016/j.foodcont.2018.04.057
    Article's DOI: 10.1016/j.foodcont.2018.04.057
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Biotechnology,Biotechnology & Applied Microbiology,Food Science,Food Science & Technology
    Time stability
    Sudan dyes
    Pls-da
    Multivariate classification
    Multivariate calssification
    Individual and blends adulterants
    Food adulteration
    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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