RESEARCH ARTICLE


Fast and Facile Voltammetric Detection of Acetaminophen at Poly (DL-phenylalanine) Modified Dysprosium-Copper Oxide Nanoparticle/Carbon Composite Paste Electrode



Shankar A. Itagi2, Jamballi G. Manjunatha1, *, Madikeri M. Charithra1, Puttaswamappa Mallu2, *, Shadakshari Sandeep2, Chimatahalli S. Karthik2, Girish Tigari1, Donnankatte N. Varun2
1 Department of Chemistry, FMKMC College, Madikeri, Mangalore University Constituent College, Karnataka, India
2 Department of Chemistry, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysuru 570 006, Karnataka, India


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Creative Commons License
© 2021 Itagi et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Chemistry, FMKMC College, Madikeri, Mangalore University Constituent College, Karnataka, India; Tel: +91- 08272228334; E-mail: manju1853@gmail.com


Abstract

Introduction:

The voltammetric sensing of Acetaminophen (AN) using modified Dysprosium Copper Oxide (DyCuO) Nanoparticles (NP) mixed Carbon Paste Electrode (MCPE) was successfully developed.

Methods:

The modification of bare NPMCPE was achieved by the polymerisation of DL-Phenylalanine (DLPA). The electroanalysis of the AN was achieved by utilizing the Cyclic voltammetry (CV) approaches. The crystallographic nature of the nanoparticle was studied via X-ray Powder Diffraction (XRD) technique. The surface morphology and electrochemical feature of the prepared electrode were evaluated by Field Emission Scanning Electron Microscopy (FE-SEM) and Electrochemical Impedance Spectroscopy (EIS) techniques.

Results:

The modified sensor exhibited an excellent electrocatalytic activity towards the electroanalysis of the AN. Several aspects, such as the number of polymerisation cycles, variation of pH, and the impact of scan rate were investigated in 0.2 M supporting electrolyte (pH 7) at a sweep rate of 0.1 Vs-1. The suggested sensor shows a very low detection limit (11.95×10-8 M) with a linear range of 2.0 to 50.0 µM, which exhibits excellent sensitivity.

Conclusion:

The stable and reusable sensor was applied for the estimation of AN in the tablet sample. Thus, P(DLPA)MNPMCPE was utilized as the most capable sensor for the voltammetric detection of AN.

Keywords: Acetaminophen, Dysprosium copper oxide nanoparticles, Carbon paste electrode, Voltammetric studies, Dopamine, Electrochemical sensor.