Dopamine (DA) is a very important drug, however, excessive use can lead to DA becoming a micropollutant in water environments, which is an unfortunate consequence. The accurate determination of dopamine content is of great significance and has also attracted high attention from people. In this work, an electrochemical sensor (MOFCN) based on carbon nanotubes (CNTs) modified copper-based metal–organic framework (Cu-MOF) was developed using the hydrothermal method for sensitive detection of dopamine. The Cu-MOF, which are surrounded by CNTs, provide a favorable surface for the full utilization of the excellent conductivity property of carbon nanotube. The surface area of MOFCN is bigger than that of original Cu-MOF. The electrochemical sensing functions of the prepared MOFCN were evaluated by cyclic voltammogram (CV), electrochemical impedance spectroscopy (EIS) and differential pulse voltammetry (DPV) techniques. Under optimal conditions, there was a good linear relationship between peak current and DA concentration in the range of 0.5 to 100 µM with a detection limit (LOD) as low as 0.13 µM. The current modified MOFCN sensor was employed to quantify trace DA concentrations in actual water sample, reaching satisfactory recovery rates ranging from 97.5 % to 105 %. The interference effect on the determination of DA showed the excellent selectivity of MOFCN using the DPV technique. A comprehensive investigation was undertaken into the kinetics and underlying mechanisms of the electrochemical reaction. The transfer of electrons and hydrogen ions facilitates the transformation of DA into dopaminoquinones (DQ), a process that is accelerated by the augmented availability of active sites in the designed sensor. The present study proposes a method for the precise and efficient analysis, which proves that the proposed sensor is highly effective for detecting DA in Environmental water samples.
Read full abstract