Mariam SabarSP19-R06-002Dr. Sara RiazLHR TP 65062026-02-202020-02-20https://repository.cuilahore.edu.pk/handle/123456789/1969Dopaminergic neurons are the source of production of neurotransmitter called as dopamine (DA). It serves as chemical carrier in hormonal, renal, cardiovascular and central nervous system. The behavior of brain related with motivation and reward is controlled by dopamine in humans. The irregular level of dopamine results in many neural diseases which includes Alzheimer’s disease, less attention hyperactivity disease, Parkinson’s disease, schizophrenia as well as restless legs syndrome. It also gives information about probability of drug addiction. For that reason, an accurate method for the detection of dopamine is necessary. Here we described a material consisting of molybdenum disulfide nanosheets (MoS2 NSs) which were deposited on a Carbon Cloth (CC) electrode that is well adapted for sensitive and selective detection of level of dopamine. The molybdenum nanosheets deposited on CC was made by hydrothermal method. The composite was characterized with various characterization techniques like Scanning electron microscope (SEM), Cyclic Voltammetry, Fourier transform infrared spectroscopy (FTIR), Amperometric i-t method and electrochemical impedance spectroscopy. The composite represents excellent electrochemical properties like more electrochemically active surface, large capacitance current, more conductivity and more porosity as shown by different electrochemical studies. The carbon cloth electrode shows good electrocatalytic ability for dopamine oxidation. The electrode operated best at working potential as low as -0.2 V (vs. Ag/AgCl). It responds linearly to dopamine within 0.25mM to 4mM concentration. The sensor has good selectivity, better stability, repeatability and reproducibility.enDepartment of ChemistryChemistrySP19Dr. Sara RiazMolybdenum disulfideCarbon ClothDopamineElectrochemical StudiesA Non-Enzymatic Dopamine Sensor Based on MoS2 Nanosheets Modified Carbon Cloth (CC) ElectrodeThesis