Molecularly imprinted electrochemical sensor based on carbon nanofibers for Amiodarone determination.

[Display omitted] • A molecularly imprinted electrochemical sensor accurately measures Amiodarone, a drug with a narrow therapeutic window. • The sensor successfully determines Amiodarone concentrations, potential for pharmaceutical analysis and clinical applications. • The optimized sensor exhibits linearity, reproducibility, precision, and accuracy in Amiodarone detection. • The imprinted electrochemical sensor provides efficient quantification of Amiodarone in real samples. Amiodarone, a drug associated with significant cardiac, pulmonary, hepatic, and neurological complications, requires accurate measurement due to its narrow therapeutic window. However, the current analysis methods are time-consuming, complex, and expensive. Thus, there is a pressing need to develop a cost-effective and rapid solution for Amiodarone determination. In this study, a molecularly imprinted electrochemical sensor was designed, fabricated, and evaluated to detect Amiodarone precisely. The research involved the synthesis of magnetic nanoparticles coated with silica and the subsequent synthesis of a molecularly imprinted polymer. Carbon nanofibers were then prepared through electrospinning in a polyacrylonitrile furnace, onto which the molecularly imprinted polymer was placed. Multiple concentrations of Amiodarone were successfully determined utilizing this sensor. Following optimization, the designed sensor exhibited desirable traits such as linearity, reproducibility, precision, and accuracy. The sensor detection and quantification limit proved acceptable in whole blood and plasma samples. With its remarkable reproducibility and accurate detection of low concentrations, this molecularly imprinted electrochemical sensor offers a reliable method for quantifying Amiodarone in real samples. Moreover, its swift voltammetric response outperforms existing techniques regarding time efficiency. Overall, the developed sensor presents a valuable advancement and has the potential to benefit pharmaceutical analysis and clinical applications greatly. [ABSTRACT FROM AUTHOR]