- Hittite Journal of Science and Engineering
- Volume:10 Issue:3
- Electrochemical Dopamine Detection Using Palladium/Carbon Nano Onion Hybrids
Electrochemical Dopamine Detection Using Palladium/Carbon Nano Onion Hybrids
Authors : Hasan Hüseyin IPEKCI
Pages : 201-209
Doi:10.17350/HJSE19030000308
View : 50 | Download : 49
Publication Date : 2023-09-30
Article Type : Research Paper
Abstract :In the given study, palladium-decorated carbon nano-onion nanostructures insert ignore into journalissuearticles values(Pd/CNO); were used as an electrochemical catalyst for detecting dopamine insert ignore into journalissuearticles values(DA);. The physicochemical properties of the Pd/SO3H/CNO-based catalysts were studied by transmission electron microscopy insert ignore into journalissuearticles values(TEM);, scanning electron microscopy insert ignore into journalissuearticles values(SEM);, X-ray diffraction insert ignore into journalissuearticles values(XRD);, and X-ray photoelectron spectroscopy insert ignore into journalissuearticles values(XPS); methods. Pd/SO3H/CNO inks were dropped cast on a glassy carbon electrode insert ignore into journalissuearticles values(GCE); to prepare the electrochemical DA sensors. The sensor performance was performed using cyclic voltammetry insert ignore into journalissuearticles values(CV);, differential pulse voltammetry insert ignore into journalissuearticles values(DPV);, and electrochemical impedance spectroscopy insert ignore into journalissuearticles values(EIS);. The electroanalytical results indicated a LOD value of 2.44 M and the linear range of the sensors were found to be between 10 and 400 M DA. The enhanced electrocatalytic activity toward DA is attributed to the high active surface area, conductivity of CNO and the high electrocatalytic property of Pd. The results suggest that Pd/SO3H/CNO nanostructures can be used to detect electrochemical DA sensors with high selectivity, sensitivity, and low LOD.Keywords : Carbon nano onion, palladium, electrochemical sensor, dopamine, differential pulse voltammetry