The influence of the concentration of the catalyst zinc oxide (0.01-0.3 g∙L^–1) and the initial concentration of the azo dye Solophenyl Brown AGL (SB AGL, 5-75) on the efficiency of its photocatalytic degradation was studied. Almost complete degradation of the pollutant is achieved at a natural pH and catalyst content of 0.05 g∙L^–1. The results of kinetic studies correspond to the Langmuir–Hinshelwood model. The efficiency of predicting the yield of photocatalytic degradation of SB AGL using a three-layer neural network with four input neurons, eight hidden neurons, and one output neuron is shown. The treatment of industrial wastewater containing two textile dye, Solophenyl Brown AGL and Cibacete Brown JNH, using a hybrid process (adsorption/solar photocatalysis) was successfully achieved.

研究了催化剂氧化锌的浓度 (0.01-0.3 g∙L ^–1 ) 和偶氮染料 Solophenyl Brown AGL (SB AGL, 5-75) 的初始浓度对其光催化降解效率的影响。在自然 pH 值和催化剂含量为 0.05 g∙L ^{–1 的情况}下，污染物几乎完全降解. 动力学研究的结果对应于 Langmuir-Hinshelwood 模型。显示了使用具有四个输入神经元、八个隐藏神经元和一个输出神经元的三层神经网络预测 SB AGL 光催化降解产量的效率。使用混合工艺（吸附/太阳能光催化）成功处理含有两种纺织染料 Solophenyl Brown AGL 和 Cibacete Brown JNH 的工业废水。