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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9273

    Título
    The inversion of multiresponse partial least squares models, a useful tool to improve analytical methods in the framework of analytical quality by design
    Autor
    Ortiz Fernández, Mª CruzAutoridad UBU Orcid
    Sarabia Peinador, Luis AntonioAutoridad UBU Orcid
    Sánchez Pastor, Mª SagrarioAutoridad UBU Orcid
    Publicado en
    Analytica Chimica Acta. 2023, V. 1276, 341620
    Editorial
    Elsevier
    Fecha de publicación
    2023-10-02
    ISSN
    0003-2670
    DOI
    10.1016/j.aca.2023.341620
    Resumen
    Analytical Quality by Design (AQbD) is the adaptation of Quality by Design (QbD) when it is applied to the development of an analytical method. The main idea is to develop the analytical method in such a way that the desired quality of the Critical Quality Attributes (CQAs), stated via the analytical target profile (ATP), is maintained while allowing some variation in the Control Method Parameters (CMPs). The paper presents a general procedure for selecting factor levels in the CMPs to achieve the desired responses, characterized by the CQAs, when liquid chromatographic methods are to be used for the simultaneous determination of several analytes. In such a case, the CMPs are usually the composition of the ternary mobile phase, its flow rate, column temperature, etc., while typical CQAs refer to the quality of the chromatograms in terms of the resolution between each pair of consecutive peaks, initial and final chromatographic time, etc. The analytical target profile in turn defines the desired characteristics for the CQAs, the reason for the whole approach. The procedure consists of four steps. The first is to construct a D-optimal combined design (mixture-process design) to select the domain and levels of the CMPs. The second step is to fit a PLS2 model to predict the analytical responses expressed in the ATP (the good characteristics of the chromatogram) as a function of the CMPs. The third step is the inversion of the PLS2 model to obtain the conditions necessary to obtain the preset ATP in the corresponding CQAs. The inversion is performed computationally in order to estimate the Pareto front of these responses, namely, a set of experimental conditions to perform the chromatographic determination for which the desired critical quality attributes are met. The fourth final step is to obtain the Method Operable Design Region (MODR), that is, the region where the CMPs can vary while maintaining the quality of the CQAs. The procedure has been applied to some cases involving different analytes, all of which are regulated by the European Union due to their toxicity to human health, namely five bisphenols and ten polycyclic aromatic hydrocarbons.
    Palabras clave
    Analytical quality by desing
    Partial least squares inversion
    Liquid chromatography
    Bisphenols
    Polycyclic aromatic hydrocarbons
    Method operable desing region
    Materia
    Química analítica
    Chemistry, Analytic
    Matemáticas
    Mathematics
    URI
    http://hdl.handle.net/10259/9273
    Versión del editor
    https://doi.org/10.1016/j.aca.2023.341620
    Aparece en las colecciones
    • Artículos UIC 237
    • Artículos Q&C
    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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    Nombre:
    Ortiz-aca_2023.pdf
    Tamaño:
    5.500Mb
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