Electrochemical evaluation of naproxen through Au@f-CNT/GO nanocomposite in environmental water and biological samples

The cytotoxic dosage of exposed drug waste is frequently discharging on aquatic surfaces via wastewater treatment plants and pharma industries. Early detection of these drug wastes with a reliable and accurate are in great need. In this report, a noble metal effectively doped on oxidized one-dimensional (1D) single-walled carbon nanotube and abundant oxygen functional groups presenting two-dimensional (2D) graphene oxide on its surface, and hydrophobic cavities are the promising selector towards electrochemical oxidation of Naproxen (NPZ). A hybrid nanocomposite Au@f-CNT/GO was engineered by the ultrasound-assist sonication method and employed for the ultra-quantification of the therapeutic drug NPZ. In addition, various physicochemical and analytical techniques were utilized to confirm the successful formation of composite and principal detection of NPZ. Au@f-CNT/GO fabricated glassy carbon electrode exhibits a low resistance and higher electrocatalytic activity toward NPZ sensing. In addition, under the optimized condition, the sensor demonstrates an acceptable linear range of 100 nM - 15.6 mu M, a lower limit of detection of 14 nM (S/N = 3), and higher sensitivity of 1.7484 mu A mu M-1 cm(2). Furthermore, the proposed sensor has high selectivity, stability, reproducibility, and repeatability. Moreover, real sample analysis shows appreciable recovery results of 96 to 99% which strongly suggests that the proposed sensor has potential applicability for the sensitive detection of NPZ in the various water and biological samples. (C) 2021 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.

Automated summary

A novel nanocomposite Au@f-CNT/GO for ultra-quantification of therapeutic drug NPZ was developed and confirmed by various physicochemical and analytical techniques. The sensor exhibited a good linear range, low detection limit, and high sensitivity under optimized conditions.