In this paper, the experimental design methodology was employed for modeling and optimizing the operational parameters of the photocatalytic degradation of a binary dye solution using a fixed photocatalytic compound. The compound used was modified graphite electrode (GE) with graphene oxide (GO) on which TiO₂ nanoparticles were immobilized. GO nanoparticle was deposited on graphite electrode (GO-GE) using electrochemical approach. TiO₂ nanoparticles were immobilized on GO-GE by solvent evaporation method. A binary solution containing mixture of methylene blue (MB) and acid red 14 (AR14) was chosen as dye model. The degradation intermediates were detected and analyzed using gas chromatography. Effect of different factors on the photocatalytic decolorization efficiency was investigated and optimized using response surface methodology (RSM). The obtained results indicated that the prepared TiO₂-GO-CE can decolorize MB with high efficiency (93.43%) at pH 11, dye concentration of 10 mg/L and 0.04 g of immobilized TiO₂ on the GO fabricated plates after 120 min of photocatalytic process. It was demonstrated that by modifying GE with GO the stability of the electrode was remarkably enhanced. The ANOVA results (R² = 0.97 and P value <0.0001 for MB, R² = 0.96 and P value <0.0001 for AR14) and numerical optimization showed that it is possible to make good prediction on decoloration behavior and save time and energy with less number of experiments using design of experiments (DoE) like the RSM.

Wastewater treatment process

中文翻译：

---

氧化石墨烯和TiO2修饰的石墨电极对二元染料溶液光催化脱色的建模和优化。

在本文中，实验设计方法用于建模和优化使用固定的光催化化合物对二元染料溶液进行光催化降解的操作参数。所使用的化合物是带有氧化石墨烯（GO）的改性石墨电极（GE），其上固定有TiO ₂纳米颗粒。使用电化学方法将GO纳米颗粒沉积在石墨电极（GO-GE）上。二氧化钛₂通过溶剂蒸发法将纳米颗粒固定在GO-GE上。选择包含亚甲基蓝（MB）和酸性红14（AR14）混合物的二元溶液作为染料模型。使用气相色谱法检测并分析了降解中间体。研究了不同因素对光催化脱色效率的影响，并使用响应表面方法（RSM）进行了优化。所得结果表明，制备的TiO ₂ -GO-CE在pH值为11时，经过120 min的氧化处理后，可以在MB制备的板上高效脱色MB（93.43％），染料浓度为10 mg / L，固定化的TiO _2为0.04 g 。光催化过程。已经证明，通过用GO修饰GE，电极的稳定性显着提高。方差分析结果（R² = 0.97，P值<0.0001 MB，R ² = 0.96和P值<0.0001 AR14）和数值优化表明，它有可能使上脱色行为和节省时间和精力良好预测具有较少的使用设计实验数RSM之类的实验（DoE）。

废水处理工艺