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.
No comments:
Post a Comment