Articles producció científica> Química Analítica i Química Orgànica

Determining performance parameters in qualitative multivariate methods using probability of detection (POD) curves. Case study: Two common milk adulterants

  • Identification data

    Identifier: PC:2645
    Authors:
    Callao, M.P.Gondim, C.D.S.Junqueira, R.G.de Souza, S.V.C.Ruisánchez, I.
    Abstract:
    DOI: 10.1016/j.talanta.2016.12.065 URL: http://www.sciencedirect.com/science/article/pii/S0039914016310128 Filiació URV: SI Memòria
  • Others:

    Author, as appears in the article.: Callao, M.P.; Gondim, C.D.S.; Junqueira, R.G.; de Souza, S.V.C.; Ruisánchez, I.
    Department: Química Analítica i Química Orgànica
    URV's Author/s: CALLAO LASMARIAS, MARÍA PILAR; Gondim, C.D.S.; Junqueira, R.G.; de Souza, S.V.C.; RUISANCHEZ CAPELASTEGUI, MARÍA ICIAR
    Keywords: Milk adulteration SIMCA Method validation
    Abstract: A strategy for determining performance parameters of two–class multivariate qualitative methods was proposed. As case study, multivariate classification methods based on mid-infrared (MIR) spectroscopy coupled with the soft independent modelling of class analogy (SIMCA) technique for detection of hydrogen peroxide and formaldehyde in milk were developed. From the outputs (positive/negative/inconclusive) of the samples, which were unadulterated and adulterated at target value, the main performance parameters were obtained. Sensitivity and specificity values for the unadulterated and adulterated classes were satisfactory. Inconclusive ratios 12% and 21%, respectively, for hydrogen peroxide and formaldehyde were obtained. To evaluate the performance parameters related to concentration, Probability of Detection (POD) curves were established, estimating the decision limit, the capacity of detection and the unreliability region. When inconclusive outputs were obtained, two additional concentration limits were defined: the decision limit with inconclusive outputs and the detection capability with inconclusive outputs. The POD curves showed that for concentrations below 3.7 g L−1 of hydrogen peroxide and close to zero of formaldehyde, the chance of giving a positive output (adulterated sample) was lower than 5%. For concentrations at or above 11.3 g L−1 of hydrogen peroxide and 10 mg L−1 of formaldehyde, the probability of giving a negative output was also lower than 5%.
    Research group: Grup de Quimiometria, Qualimetria i Nanosensors
    Thematic Areas: Chemistry Química Química
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0039-9140
    Author identifier: 0000-0003-2691-329X ; 0000-0003-0889-6596; n/a; n/a; 0000-0002-7097-3583
    Record's date: 2017-03-21
    Last page: 30
    Journal volume: 168
    Papper version: info:eu-repo/semantics/submittedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0039914016310128?via%3Dihub
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1016/j.talanta.2016.12.065
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2017
    First page: 23
    Publication Type: Article Artículo Article
  • Keywords:

    Anàlisi multivariable
    Llet -- Adulteració i inspecció
    Milk adulteration
    SIMCA
    Method validation
    Chemistry
    Química
    Química
    0039-9140
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