Nanotechnology is the study of materials whose structures are between 0.1 and 100 nanometers in size, and their applications. The size effect, surface effect, and other unique characteristics of this material mean that it has a wide range of potential uses beyond those of more conventional materials. The increasing usage of nanoparticles in today’s industries and lifestyles has sparked growing concern, particularly in the fields of biology and medicine. Researchers are now focusing on how to create multifunctional nanomaterials with features like magnetism and catalytic capabilities, and how to apply these materials more effectively in the field of biology. In addition to enhancing the quality of the wood, automatic detection of subpar wood is possible due to machine learning, which eliminates the possibility of human error due to eye tiredness or other subjective elements in the manual identification process. A measure of frequency of use. In this research, we focus on the application of the fuzzy analytic hierarchy approach to the investigation of nanocomposites and their catalytic performance in the oxidation of glucose. When comparing Ni₃S₂/IL-GR/GCE to glassy carbon bare electrode (GCE) and IL-GR/GCE, the latter has demonstrated much greater electrocatalytic activity for glucose oxidation. Using a sensitivity of S/N = 4, the linear range is from 0 to 1000 µm, and the detection limit is 0.162 µm. Ni₃S₂/ILGR/GCE was shown to have a high level of anti-interference since the glucose current response was not considerably altered.

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