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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4833

    Título
    Dual range lactate oxidase-based screen printed amperometric biosensor for analysis of lactate in diversified samples
    Autor
    Cunha Silva, HugoAutoridad UBU Orcid
    Arcos Martínez, JuliaAutoridad UBU Orcid
    Publicado en
    Talanta. 2018, V. 188, p. 779-787
    Editorial
    Elsevier
    Fecha de publicación
    2018-10
    ISSN
    0039-9140
    DOI
    10.1016/j.talanta.2018.06.054
    Résumé
    Lactate concentration is studied as an indicator of physical performance in sports activities, and is also analyzed in health care applications, as well as in the food and cosmetic industries. This organic acid is routinely determined in different concentration ranges, depending on the type of samples for analysis. This paper describes the development of a screen-printed lactate oxidase (LOx) based biosensor to determine lactate in broad concentration range. The Cu-MOF (copper metallic framework) crosslinking of 0.25U LOx in a chitosan layer, allows to determine the enzymatic product generated on a platinum modified working electrode, at 0.15 V (vs SPE Ag/AgCl). The biosensor responds linearly in two different concentration ranges: a first catalysis range of 14.65 µA mM−1, from 0.75 µM to 1 mM, followed by a saturation zone from 1 to 4 mM, after which a substrate enzymatic inhibition of 0.207 µA mM−1, is observed up to 50 mM. These two ranges of analysis would allow the biosensor to be used for the determination of lactate in different types of samples, with low and high content of lactate. The method reproducibility was kept below 7% and a limit of detection of 0.75 µM was obtained. The device was successfully used in the determination of lactate in sweat and saliva, as a low cost noninvasive analysis, and also in wine samples.
    Palabras clave
    Lactate oxidase
    Dual range biosensor
    Noninvasive analysis
    Sweat
    Saliva
    Wine
    Materia
    Química analítica
    Chemistry, Analytic
    URI
    http://hdl.handle.net/10259/4833
    Versión del editor
    https://doi.org/10.1016/j.talanta.2018.06.054
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    Silva-Talanta_2018.pdf
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