SYNTHESIS, CHARACTERIZATION OF CuO NPs USING GREEN SYNTHESIS AND ITS APPLICATION AS A SELECTIVE NON-ENZYMATIC GLUCOSE BIOSENSOR

Biosensors development has become very important by using NPs showing enzyme mimic properties. In this study, it was aimed to synthesize CuO nanoparticles (NPs) by green synthesis method and to use to determine the amount of glucose in some food samples. CuO nanoparticles were synthesized by using Fig (Ficus carica) fruits by green synthesis method and it was used to determine the glucose amount in some food samples. The resulting CuO NPs were characterized by FT-IR, XRD and SEM analyzes. From the results, it was determined that the CuO NPs were symmetrical, spherical and in the range of 20-66 nm. Then, CuO NPs were used to detect glucose levels in different types of foods samples as non-enzymatically. The high accuracy results were observed with CuO NPs having enzyme mimic properties. In the new targeted method, the glucose oxidase (GOx) enzyme with CuO NPs mimicking peroxidase was used to develop a spectrophotometric method for the determination of highly sensitive and stable - enzymatic glucose in different foods. The developed method was found to be highly linear in the 0.25-2 g/L glucose range. The optimum operating parameters of the biosensor were, respectively, temperature, (40°C), pH (4.0) and H2O2 concentration (12.5 mM). It was observed that this method showed a high selectivity to glucose.