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[Display omitted] • An electrochemical aptasensor was designed to detect Acinetobacter baumannii in urine samples. • This aptasensor can detect Acinetobacter baumannii faster compared to the conventional method. • The stability of this aptasensor for 30 days was acceptable. Acinetobacter baumannii (A. baumannii) is a gram-negative bacterium that is responsible for causing a range of infections, including pneumonia, meningitis, and bloodstream infections and the detection of this bacterium is crucial for timely diagnosis and treatment of infections. The purpose of this work was to design and manufacture an electrochemical biosensor based on carbon nanofibers (CNFs), gold nanoparticles (AuNPs), and aptamer that could detect A. baumannii in urine samples. At first, polyacrylonitrile (PAN) polymer was electrospun and CNFs were formed during two stages of heat treatment including stabilization and carbonization, and Raman spectroscopy and X-ray diffraction (XRD) were used to characterize it. Then, these CNFs were used to modify the surface of the screen-printed carbon electrode (SPCE), and AuNPs were placed on the SPCE modified with CNFs using the electrodeposition method. Field emission scanning electron microscopy (FESEM) and energy dispersive X-Ray spectroscopy (EDS) were used to study the surface morphology of the modified electrode to determine the carbon and gold elements, respectively. Then the aptamer related to A. baumannii was placed on this modified electrode using a simple and cost-effective process and characterized by the cyclic voltammetry (CV) technique. Next, the spiked A. baumannii in urine samples was detected by this aptasensor in the range of 101 to 106 cfu mL−1 and limit of detection (LOD) to 0.681 cfu mL−1 with differential pulse voltammetry (DPV) technique. Salmonella typhimurium, Staphylococcus aureus and E. Coli were used to perform the selectivity test. In addition, its repeatability was checked and its stability for 30 days was more than 96 %. Finally, the results of this aptasensor were compared with the conventional method of bacterial culture, and this aptasensor was able to detect A. baumannii in a less time and with more sensitivity. [ABSTRACT FROM AUTHOR]

[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]