Simultaneous determination of cholesterol, ascorbic acid and uric acid as three essential biological compounds at a carbon paste electrode modified with copper oxide decorated reduced graphene oxide nanocomposite and ionic liquid

In this study, we suggested first analytical sensor and especially electrochemical sensor for simultaneous determination of Cholesterol, ascorbic acid and uric acid. [Display omitted] In this article, we report the simultaneous determination cholesterol (CL), ascorbic (AA) acid and uric acid (UA) at...

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Published in:Journal of colloid and interface science Vol. 560; pp. 208 - 212
Main Authors: Karimi-Maleh, Hassan, Arotiba, Omotayo A.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 15-02-2020
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Summary:In this study, we suggested first analytical sensor and especially electrochemical sensor for simultaneous determination of Cholesterol, ascorbic acid and uric acid. [Display omitted] In this article, we report the simultaneous determination cholesterol (CL), ascorbic (AA) acid and uric acid (UA) at a carbon paste electrode (CPE) modified with copper oxide decorated reduced graphene (CuO-rGR), with 1-methyl-3-octylimidazolium tetrafluoroborate (1M3OIDTFB) as a binder. The electrode, CuO-rGR/1M3OIDTFB/CPE, showed remarkable sensitivities towards the determination of the analytes, and well defined and clearly separated oxidation peaks were obtained during their simultaneous analysis in a buffer solution at pH 7.4. The differences observed between their peaks potentials are as follows: 430 mV (between CL and AA), 270 mV (between AA and UA) and 700 mV (between CL and UA). The morphologies and structure properties of the CuO-rGR were investigated by FESEMD and EDAX methods. The CuO-rGR/1M3OIDTFB/CPE displayed linear response in the concentration ranges 0.04–300.0 μM, 0.04–240.0 μM and 0.4–400.0 μM for CL, AA and UA with the detection limits 9.0 nM, 9.0 nM and 0.08 μM, respectively. The CuO-rGR/1M3OIDTFB/CPE displayed high performance for the determination of CL, AA and UA in real samples.
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ISSN:0021-9797
1095-7103
DOI:10.1016/j.jcis.2019.10.007