Thick nanoporous matrices of polystyrene nanoparticles and their potential for electrochemical biosensing

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Publikace nespadá pod Lékařskou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.

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SOPOUŠEK Jakub HUMLÍČEK Josef HLAVÁČEK Antonín HORÁČKOVÁ Veronika SKLÁDAL Petr LACINA Karel

Rok publikování 2021
Druh Článek v odborném periodiku
Časopis / Zdroj Electrochimica Acta
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www https://www.sciencedirect.com/science/article/pii/S0013468620320004?via%3Dihub
Doi http://dx.doi.org/10.1016/j.electacta.2020.137607
Klíčová slova Nanopores; Nanoparticles; Multilayers; Thin film interference; Electrochemical impedance; Biosensing
Popis Solid-state nanopores with diameter in units of nanometer can be formed by assembling spherical nanoparticles in a dense arrangement. In the current work, the properties of multi-layered highly ordered assemblies of polystyrene nanoparticles were studied, and their feasibility for electrochemical biosensing was probed. These thick matrices were built using a step-by-step deposition technique. Each individual layer of NPs exhibited distinct color which was caused by the thin film interference effect (a color of specific wavelength was characteristic for matrix of specific thickness). The electrochemical characteristics of matrices were investigated with impedance spectroscopy. The impedance spectra of multi-layered matrices exhibited formation of an additional semicircle (RC component additional to the one in a common Randles equivalent circuit). Further, model biosensing based on nanopore blocking was performed using human serum albumin as an antigen and the corresponding monoclonal antibody as an analyte (serology format). Resulting data disfavored the direct employment of the multi-layered matrices for biosensing purposes as the efficiency decreased with increasing thickness of matrices. However, the data revealed highly valuable information about the diffusion and redox processes in the thick nanoporous matrices. (C) 2020 Elsevier Ltd. All rights reserved.
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