Electrochemical oxidation (EO) of direct blue 86 dye (DB 86) was explored in a laboratory-scale reactor using mixed-metal oxide (MMO) coated Ti electrode as anode and stainless steel as a cathode. Batch experiments were conducted to optimise the operating conditions, i.e., pH, current density, dye concentration and electrolysis time corresponding to maximum dye and COD removals. At the optimum condition (pH = 5; CD = 15 mA/cm²; DC = 50 mg/l and t = 105 minutes), the maximum dye (98.03%) and COD (95%) removal were obtained. Micro-pillar morphology of degraded dye powder compared to the polymeric structure of virgin dye observed from FESEM images demonstrated splintering of its bonding structure. Absconding of Cu, S, N and Na peaks in EDX analysis evidently demonstrated the defragmentation of their associated bonds. LC-MS spectroscopy was performed to assess its degradation pathway and reaction intermediates. The study depicted the possible degradation pathway and revealed complete mineralization of DB 86, leaving no intermediates in the treated effluent. The artificial neural network (ANN) model exhibited the best statistical fit (R² = 0.9691; RMSE = 0.0583; MAPE= 7.41; IA= 0.99; MSRE = 0.0084) than the support vector regression (SVR) & multi linear regression (MLR) models for predicting the dye and COD removals. The energy and operational cost of the treatment process was estimated as 5.61 kWhm⁻³ and 1.29 $m⁻³, respectively. The study demonstrated that EO process with MMO coated Ti electrodes could be used for the removal of DB 86 from the textile wastewater.

在实验室规模的反应器中探索了直接蓝 86 染料 (DB 86) 的电化学氧化 (EO)，使用混合金属氧化物 (MMO) 涂层的钛电极作为阳极，不锈钢作为阴极。进行批量实验以优化操作条件，即与最大染料和 COD 去除相对应的 pH、电流密度、染料浓度和电解时间。在最佳条件下（pH = 5；CD = 15 mA/cm ²; DC = 50 mg/l 和 t = 105 分钟），获得了最大的染料 (98.03%) 和 COD (95%) 去除率。与从 FESEM 图像观察到的原始染料的聚合物结构相比，降解染料粉末的微柱形态表明其键合结构发生了分裂。在 EDX 分析中，Cu、S、N 和 Na 峰的潜逃显然证明了它们相关键的碎片化。进行 LC-MS 光谱以评估其降解途径和反应中间体。该研究描述了可能的降解途径并揭示了 DB 86 的完全矿化，在处理后的流出物中没有留下中间体。人工神经网络 (ANN) 模型表现出最佳统计拟合 (R ² = 0.9691; 均方根误差 = 0.0583；MAPE=7.41；IA = 0.99；MSRE = 0.0084) 比支持向量回归 (SVR) 和多元线性回归 (MLR) 模型预测染料和 COD 去除率。处理过程的能源和运营成本估计分别为 5.61 kWhm ^-3和 1.29 $m ^-3。该研究表明，使用 MMO 涂层钛电极的 EO 工艺可用于从纺织废水中去除 DB 86。