AI Article Synopsis

  • The study aimed to create a biosensor for detecting epinephrine using a poly-thiophene derivative and an enzyme called tyrosinase as the recognition element.
  • The differential pulse voltammetry (DPV) technique was found to be the most effective for analysis, showing a wide linear detection range and low detection limits, while the chronoamperometry (CA) technique had less favorable performance.
  • The developed biosensor demonstrated high sensitivity, stability, and selectivity, effectively distinguishing epinephrine from interfering substances and successfully analyzing a pharmaceutical sample.

Article Abstract

The main goal of the presented study was to design a biosensor-based system for epinephrine (EP) detection using a poly-thiophene derivative and tyrosinase as a biorecognition element. We compared two different electroanalytical techniques to select the most prominent technique for analyzing the neurotransmitter. The prepared biosensor system exhibited good parameters; the differential pulse (DPV) technique presented a wide linear range (1-20 μM and 30-200 μM), with a low detection limit (0.18 nM and 1.03 nM). In the case of chronoamperometry (CA), a high signal-to-noise ratio and lower reproducibility were observed, causing a less broad linear range (10-200 μM) and a higher detection limit (125 nM). Therefore, the DPV technique was used for the calculation of sensitivity (0.0011 μA mM cm), stability (49 days), and total surface coverage (4.18 × 10 mol cm). The biosensor also showed very high selectivity in the presence of common interfering species ( ascorbic acid, uric acid, norepinephrine, dopamine) and was successfully applied for EP determination in a pharmaceutical sample.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446417PMC
http://dx.doi.org/10.1039/d2ra04045jDOI Listing

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