MARATTO

article · RSC Advances

β-Cyclodextrin/Zn–Fe layered double hydroxides/graphitic carbon nitride nanomaterials based potentiometric sensor for paroxetine determination in environmental water samples

20241 citationOpen accessBeni Suef University

Abstract

Developing targeted and sensitive analytical techniques for drug monitoring in different specimens are of utmost importance. Herein, a first attempt was made for the determination of paroxetine (Prx<sup>+</sup>) in environmental water samples using a novel, sensitive, selective, stable, accurate and eco-friendly potentiometric sensor based on Zn-Fe layered double hydroxides/graphitic carbon nitride (Zn-Fe LDH/g-C<sub>3</sub>N<sub>4</sub>) nanomaterials with β-cyclodextrin (β-CD) as the sensing ionophore and dibutyl phthalate (DBP) as the plasticizer. The prepared nanomaterial was characterized using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The surface properties of the proposed sensor were characterized by electrochemical impedance spectroscopy (EIS). The sensor exhibited an excellent Nernstian slope of 59.3 ± 0.7 mV decade<sup>-1</sup> covering a wide linear working range of 1.0 × 10<sup>-6</sup> to 1.0 × 10<sup>-2</sup> mol L<sup>-1</sup>, low detection limit of 3.0 × 10<sup>-7</sup> mol L<sup>-1</sup>, low quantification limit of 9.9 × 10<sup>-7</sup> mol L<sup>-1</sup>, long life time, sufficient selectivity, high chemical and thermal stability within a wide pH range of 2.0-9.0. This analytical method was successfully implemented for Prx<sup>+</sup> determination in a pure form, pharmaceutical formulation and different water samples.

Research topics

  • Analytical Chemistry and Sensors
  • Electrochemical sensors and biosensors
  • Gas Sensing Nanomaterials and Sensors

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1039/d4ra03863k

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.