期刊
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
卷 656, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.colsurfa.2022.130299
关键词
Metal tungstate; N-rGO; Furazolidone; Electrochemical sensing; Antibiotic drug
Pharmaceutical waste disposal, especially antibiotic drug contaminants, is a global concern due to its adverse effects on ecosystems and human health. In this study, the researchers synthesized a CoWO4/N-rGO nanocomposite and used it for electrochemical detection of the antibiotic drug Furazolidone. The CoWO4/N-rGO modified electrode showed excellent electrocatalytic activity towards Furazolidone, and the method was successfully applied for detecting Furazolidone in real samples.
Pharmaceutical waste disposal, especially antibiotic drug contaminants, is a current topic to investigate in global concern. However, it is critical to recognize and detect due to its adverse effects on ecosystems and human health caused by excessive usage and poor management. In this work, the Cobalt tungstate/Nitrogen-doped reduced graphene oxide (CoWO4/N-rGO) nanocomposite was synthesized through coprecipitation and ultrasonication method and used for electrochemical detection of Furazolidone (Fz) antibiotic drug. The physicochemical properties of as-prepared CoWO4/N-rGO nanocomposite have been investigated by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, Scanning electron microscopy/Energy-dispersive X-ray spectroscopy (SEM-EDX) and Transmission electron mi-croscopy (TEM). The electrochemical behavior of the CoWO4/N-rGO modified electrode was explored by Cyclic voltammetry (CV) and Differential pulse voltammetry (DPV) analysis. From the electrochemical analysis, the CoWO4/N-rGO modified electrode displayed an excellent electrocatalytic activity towards Fz and resulted in good reproducibility, high selectivity and long-term stability. The detection limit of Fz was found to be 0.022 mu M along with a linear dynamic range of 0.09-799 mu M. The proposed system is effectively applied for detecting Fz in real samples such as human urine and wastewater.
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