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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4379

    Título
    A Chronoamperometric Screen Printed Carbon Biosensor Based on Alkaline Phosphatase Inhibition for W(VI) Determination in Water, Using 2-Phospho-L-Ascorbic Acid Trisodium Salt as a Substrate
    Autor
    Alvarado Gámez, Ana Lorena
    Alonso Lomillo, Mª AsunciónAutoridad UBU Orcid
    Domínguez Renedo, OlgaAutoridad UBU Orcid
    Arcos Martínez, JuliaAutoridad UBU Orcid
    Publicado en
    Sensors, 2015, V. 15, n. 2, p. 2232-2243
    Editorial
    MDPI
    Fecha de publicación
    2015-02
    Résumé
    This paper presents a chronoamperometric method to determine tungsten in water using screen-printed carbon electrodes modified with gold nanoparticles and cross linked alkaline phosphatase immobilized in the working electrode. Enzymatic activity over 2-phospho-L-ascorbic acid trisodium salt, used as substrate, was affected by tungsten ions, which resulted in a decrease of chronoamperometric current, when a potential of 200 mV was applied on 10 mM of substrate in a Tris HCl buffer pH 8.00 and 0.36 M of KCl. Calibration curves for the electrochemical method validation, give a reproducibility of 5.2% (n = 3), a repeatability of 9.4% (n = 3) and a detection limit of 0.29 ± 0.01 μM. Enriched tap water, purified laboratory water and bottled drinking water, with a certified tungsten reference solution traceable to NIST, gave a recovery of 97.1%, 99.1% and 99.1% respectively (n = 4 in each case) and a dynamic range from 0.6 to 30 μM. This study was performed by means of a Lineweaver–Burk plot, showing a mixed kinetic inhibition.
    Palabras clave
    alkaline phosphatase
    chronoamperometry
    2-phospho-L-ascorbic acid trisodium salt
    screen printed carbon electrode
    tungsten
    Materia
    Chemistry, Analytic
    Química analítica
    URI
    http://hdl.handle.net/10259/4379
    Versión del editor
    http://dx.doi.org/10.3390/s150202232
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    Attribution 4.0 International
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution 4.0 International
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    Nombre:
    Alvarado-Sensors_2015.pdf
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    704.6Ko
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