Abstract

Nanotechnology refers to technology that studies the performance and usage of materials with a structure size of 0.1 to 100 nanometers. Due to the special size of this material, it determines that this material has many more special properties than ordinary materials, such as size effect, surface effect, etc., so its application market can be said to be very broad. At present, the application of nanomaterials in daily production and life has aroused widespread concern, especially the two major blocks of biology and medicine. How to combine different properties such as magnetism and catalytic properties to form multifunctional nanomaterials and how to use the material more efficiently in the field of biology has become a research direction of experts. Machine learning can realize the automatic identification of non-good wood, which effectively avoids the impact of visual fatigue or other subjective factors in the manual identification process, and machine learning has a more accurate positioning of the standard of non-good wood, thereby improving the wood's quality. Usage rate. In this paper, the fuzzy analytic hierarchy process is mainly used to study the catalytic performance of nanocomposites on glucose oxidation. Compared with glassy carbon bare electrode (GCE) and IL-GR / GCE, $N{i}_3{S}_2$/ IL-GR / GCE showed significant electrocatalytic activity for glucose oxidation. The linear range is 0 ∼ 1000 μM, and the detection limit is 0.162 μM (S / N = 4). The results showed that the current response of glucose did not change significantly, proving that $N{i}_3{S}_2$/ IL-GR / GCE has a strong anti-interference ability.

摘要

纳米技术是指研究结构尺寸为0.1～100纳米的材料的性能和用途的技术。由于这种材料的特殊尺寸，决定了这种材料比普通材料具有更多的特殊性能，比如尺寸效应、表面效应等，所以它的应用市场可以说是非常广阔的。目前，纳米材料在日常生产生活中的应用引起了广泛关注，尤其是生物和医学两大板块。如何将磁性、催化等不同性质结合形成多功能纳米材料，以及如何在生物学领域更高效地利用该材料，已成为专家们的研究方向。机器学习可以实现对不良木材的自动识别，有效避免人工识别过程中视觉疲劳或其他主观因素的影响，机器学习对不良木材的标准定位更加准确，从而提高木材的质量。使用率。本文主要采用模糊层次分析法研究纳米复合材料对葡萄糖氧化的催化性能。与玻碳裸电极（GCE）和IL-GR/GCE相比，$N{\mathrm{一世}}_3{秒}_2$/IL-GR/GCE 对葡萄糖氧化表现出显着的电催化活性。线性范围为0 ∼ 1000 μM，检出限为0.162 μM（S/N=4）。结果表明，当前葡萄糖的响应没有显着变化，证明$N{\mathrm{一世}}_3{秒}_2$/IL-GR/GCE 具有很强的抗干扰能力。