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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/23552

    Título
    Multivariate calibration transfer between two different types of multisensor systems
    Autor
    Khaydukova, María
    Medina Plaza, Cristina
    Rodríguez Méndez, María LuzAutoridad UVA Orcid
    Panchuka, Vitaly
    Kirsanov, Dmitry
    Legin, Andrey Andrey V.
    Año del Documento
    2017
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Sensors and Actuators B, 2017, vol. 246, p. 994–1000
    Abstract
    The most popular sensors in multisensor systems (electronic tongues) are voltammetric and potentiometric ones. Practical application of multisensor systems for evaluation of particular target parameters requires calibration step. Even if both types of sensors (voltammetric and potentiometric) can be sensitive towards the same parameter of an analyte and can be used for its quantification, corresponding multisensor systems cannot operate in the framework of a single unified calibration model interpreting the responses of both systems. This research is dedicated to experimental verification of calibration transfer feasibility between voltammetric and potentiometric multisensor systems. The algorithm of direct standardization suggested earlier in spectroscopy was applied for transformation of potentiometric data into voltammetric format, and vice versa. Such transformations allowed for interpretation of a system response by multivariate regression model built employing the data from another type of multisensor system. For example, concentration of the tartaric acid in the grape musts can be determined with the regression model developed for voltammetric system using the data obtained from potentiometric system. Only 20% decrease in precision was observed for the converted potentiometric data compared to initial voltammetric model.
    Palabras Clave
    Multisensor system
    Electronic tongue
    Calibration transfer
    Revisión por pares
    SI
    DOI
    10.1016/j.snb.2017.02.099
    Patrocinador
    M. Khaydukova acknowledges joint scholarship program of St. Petersburg State University and Bank Santander.
    M. Khaydukova and A. Legin acknowledge partial financial support of this study from St. Petersburg State University research grant #12.37.216.2016.
    D. Kirsanov acknowledges partial financial support of his work by the Government of Russian Federation, Grant 074-U01.
    Financial support by MINECO and FEDER (AGL2015- 67482-R).
    Junta de Castilla y León-FEDER (VA011U16).
    C. Medina-Plaza thanks the University of Valladolid for a PIF UVA scholarship.
    Propietario de los Derechos
    Elsevier
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/23552
    Derechos
    restrictedAccess
    Collections
    • BioEcoUVa - Artículos de revista [187]
    • DEP63 - Artículos de revista [223]
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