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Simultaneous determination of isoproterenol, acetaminophen, folic acid, propranolol and caffeine using a sensor platform based on carbon black, graphene oxide, copper nanoparticles and PEDOT:PSS. | LitMetric

AI Article Synopsis

  • The study focused on using carbon black, graphene oxide, copper nanoparticles, and PEDOT:PSS as electrode materials for detecting multiple substances simultaneously, including isoproterenol and caffeine.
  • The surface of the electrodes was thoroughly characterized using techniques like SEM and EDS, revealing fast electron transfer and a large electroactive area.
  • Square-wave voltammetry was used to successfully identify and quantify these compounds in urine and serum, demonstrating the sensor's effectiveness with high recovery rates close to 100%.

Article Abstract

We explored the use of carbon black (CB), graphene oxide (GO), copper nanoparticles (CuNPs) and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) as electrode materials for the simultaneous determination of isoproterenol, acetaminophen, folic acid, propranolol and caffeine. The designed nanostructured surface was widely characterized by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), contact angle measurements and electrochemistry. From electrochemical characterization assays carried out towards the potassium ferricyanide redox probe, fast electron transfer kinetics and a considerably higher electroactive surface area were observed for the modified electrodic surface based on CB, GO, CuNPs and PEDOT:PSS film. Using square-wave voltammetry (SWV), well defined and resolved anodic peaks were detected for isoproterenol, acetaminophen, folic acid, propranolol and caffeine, with peak-to-peak potential separation not less than 170 mV. Then, the SWV technique was explored for the simultaneous determination of quinary mixtures of these analytes, resulting in analytical curves with linear ranges and limits of detection at micromolar concentration levels. The practical viability of the proposed voltammetric sensor was illustrated in the analysis of human body fluid samples. The proposed sensor showed good repeatability and a successful application using urine and serum matrices, with recoveries close to 100%.

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Source
http://dx.doi.org/10.1016/j.talanta.2018.02.066DOI Listing

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