A voltammetric sensor based on praseodymium oxide nanoparticles immobilized on tetrahedral boronate esters for favipiravir used in the treatment of COVID-19
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引用次数: 0
Abstract
Background
This research aims to develop a novel electrochemical sensor strategy from the nanocomposite obtained by incorporating praseodymium oxide nanoparticles (Pr6O11NPs) into tetrahedral boronate esters (BE1N) and to use this sensor for the accurate and sensitive detection of Favipiravir drug used in the treatment of COVID-19.
Method
BE1N, which our group previously synthesized, and Pr6O11NPs were subjected to sonication in chloroform to be completely catalyzed, and conductive Pr6O11NPs/BE1N nanocomposite suspension was obtained. Pr6O11NPs/BE1N nanocomposite suspension was immobilized on the surface of the polished glassy carbon electrode (GCE) by the drop drying method, and a working electrode defined as Pr6O11NPs/BE1N/GCE was obtained for electrochemical experiments.
Significant findings
Pr6O11NPs/BE1N/GCE was characterized and used to detect Favipiravir using the square wave voltammetry technique. Under optimal conditions, Pr6O11NPs/BE1N/GCE provided an LOD of 0.035 nM in a linear range of 1.0 nM to 20 μM for Favipiravir. Additionally, the nanovoltammetric sensor exhibited highly effective repeatability, reproducibility, and stability while demonstrating negligible performance interference against interfering species. Besides, it was confirmed that the proposed nanovoltammetric sensor could be used for the sensitive detection of Favipiravir in real samples such as pharmaceutical tablets, urine, and human blood serum.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.