Research output: Contribution to journal › Article › peer-review
The present study of nanoelectrochemical sensors prepared by directed electrochemical nanowire assembly (DENA) is defined by the requirements of electrochemical analysis, where the transducer function of metallic nanowires is synergetically combined with their electrochemical catalytic activity with respect to a particular analyte. We show for the first time that this technique can be employed for metals (Pd, Au) and their bimetallic compositions to create various multicomponent sensor nanomaterials on a single chip without the use of multistep lithography for the spatially resolved analysis of solutions. The nanostructures of various compositions can be individually addressed when used in liquid media, so that the particular surface properties of the individual nanoarray elements can be used for the electrochemical analysis of specific analytes. The sensor application of these devices in electrolytes and cell culture conditions has been demonstrated for the first time. As an example, the Pd-Au nanowires prepared by DENA were used for a non-enzymatic analysis of H2O2 with a linear concentration interval of 10−6–10−3 M, sensitivity of 18 μA M−1, and detection limit of 3 × 10−7 M at as low absolute value of the detection potential as − 0.05 V. This sensor was also proven for the detection of hydrogen peroxide in HL-1 cell culture, demonstrating good biocompatibility and support for the cell culture conditions. Using various DENA-grown electrochemical compositions on a single chip, a novel multisensor platform is proposed for the determination of various analytes in electrolyte solutions for biocompatible sensor arrays, flexible multianalyte environmental and technological process monitoring, and healthcare areas. [Figure not available: see fulltext.].
Original language | English |
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Pages (from-to) | 1023-1035 |
Number of pages | 13 |
Journal | Journal of Solid State Electrochemistry |
Volume | 22 |
Issue number | 4 |
DOIs | |
State | Published - 1 Apr 2018 |
ID: 33199014