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An amino functionalized magnetite nanoparticles and ionic liquid based electrochemical sensor for the detection of acetaminophen

Abstract

Acetaminophen (AMP) is a pain reliever (painkiller) and a fever reducer. It is also used for arthritis, colds, muscle aches, headache worldwide. Because of its increase used in the past several decades, among painkillers, acetaminophen is now present at higher concentrations in pharmaceutical samples, thus necessitating its monitoring. A novel composite electrode has been fabricated by using the multi walled carbon nanotubes (MWCNTs), amino group functionalized magnetite nanoparticles (NH2-Fe3O4 NPs) and 1-ethyl-3-methylimidazolium tetrafluoroborate ionic liquid (IL) for the sensitive electrochemical detection of AMP. The synthesized functionalized magnetite nanoparticles were characterized by Fourier transform infrared spectroscopy (FTIR) and the fabricated sensor by surface morphology, elemental composition was analyzed by transmission electron microscopy (TEM) and electron dispersion x-ray spectroscopy (EDX). In addition, various optimal parameters such as effect of pH, effect of deposition time, effect of sweep rate, effect of potential and time and interferents were also successfully monitored. The fabricated sensor enhanced the peak currents over 50 times greater than the pure glassy carbon electrode in cyclic voltammetry (CV). Differential pulse voltammetry (DPV) gave a selective determination of AMP without any interference via the standard addition process. The proposed electrochemical sensor showed good concurrence with previously reported methods and was effectively employed for the quantification of acetaminophen (AMP) in various pharmaceutical samples.

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Publication details

The article was received on 14 Aug 2019, accepted on 05 Nov 2019 and first published on 06 Nov 2019


Article type: Paper
DOI: 10.1039/C9AY01743G
Anal. Methods, 2019, Accepted Manuscript

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    An amino functionalized magnetite nanoparticles and ionic liquid based electrochemical sensor for the detection of acetaminophen

    R. Chokkareddy, N. Thondavada, R. GG and N. K. Bhajanthri, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C9AY01743G

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