纳米氧化锌光催化甲基橙的二元非线性曲线拟合模型的建立及应用

Binary Nonlinear Curve Fitting Model Establishment and Application of Photocatalytic Methyl Orange by Nano-zinc Oxide

为了研究纳米氧化锌光催化降解染料废水的作用,选用甲基橙溶液作为模拟污染物,通过测试甲基橙溶液在光照前后的吸光度来考察纳米氧化锌的光催化效率。使用二元非线性模型对纳米氧化锌光催化甲基橙实验数据进行拟合,对纳米氧化锌光催化甲基橙降解率进行修正。采用溶胶凝胶法制备纳米氧化锌,以20mg/L的甲基橙溶液作为模拟污染物,通过测试紫外光照射前后甲基橙溶液的吸光度来考察纳米氧化锌的光催化性能,对得到的实验数据进行数学拟合。结果表明,甲基橙溶液在紫外光照射下会自行分解,且自身降解符合二元非线性方程。该算法可以实现最优拟合。通过使用此二元非线性公式,可以达到修正纳米氧化锌光催化甲基橙实验数据的目的,氧化锌催化甲基橙降解率计算结果更精确。

In order to study the nano-zinc oxide photocatalytic degradation of dye wastewater role, the selection of methyl orange solution as simulation of pollutants, the test of methyl orange solution absorbance before and after the light examines the photoeatalytic efficiency of nano-zinc oxide. The paper uses the binary non-linear fitting model to fit the data of nano-zinc oxide photocatalytic experiment, amending the degradation rate of nano-zine oxide photoeatalytic methyl orange. The nano-zinc oxide is prepared by sol-gel. Taking 20mg/L methyl orange solution as simulation of pollutants and records the absorbanee of the test before and after UV irradiation of methyl orangesolution to examine the photocatalytic properties of nano-zinc oxide. The results show that the methyl orange solution would be self-decomposition under UV light and the experimental datas obtained fits mathematical and the results indicate that the methyl orange solution degradation is in line with the binary nonlinear equations. The numerical simulation results indicate that the algorithm can achieve the optimum fitting. The purpose of amending the data of nano-zinc oxide photocatalytic experiment can be achieved through the use of this binary non- linear formula and the results of the degradation rate that zinc Oxide Catalyst methyl orange is more precise.