Social Determinants of Health Research Center (SDHRC), Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran.
Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran.
Environ Res. 2020 May;184:109367. doi: 10.1016/j.envres.2020.109367. Epub 2020 Mar 12.
The present study investigates the synergistic performance of the sonophotolytic-activated ZnO/persulfate (US/UV/ZnO/PS) process in the decolorization of acid blue 113 (AB113) dye from aqueous solution and its feasibility for the treatment of real textile wastewater. Decolorization of AB113 solution was modeled by central composite design-response surface methodology (CCD-RSM) and artificial neural network (ANN) approaches and optimized by CCD-RSM and genetic algorithm (GA) approaches. Statistical metrics indicated that both CCD-RSM and ANN approaches seemed satisfactory. However, the results of statistical fit measures indicated a relative superiority of CCD-RSM as compared to the ANN approach. The results of optimization of the process parameters by CCD-RSM and GA approaches appeared to be similar as follows: pH = 6.1, reaction time = 25 min, US power density = 300 W/L, ZnO = 0.88 g/L and PS = 2.43 mmol/L. The synergistic effect of the hybrid US/UV/ZnO/PS process in comparison with its individual processes (US, UV, ZnO, and PS) was found to be 54.3%. Quenching experiments discovered that and HO are the main oxidizing radicals in a mildly acidic condition of the reaction solution. The removal efficiency of AB113 in the presence of some anions decreased in the order of bicarbonate > sulfate > phosphate > nitrate > chloride. Further, the reusability feasibility of ZnO showed that the ZnO material retained its photocatalytic property after five successive cycles of reusability test, while Zn ion concentration in the reaction solution was measured to be 2.81 mg/L. The findings also indicated that the integrated process application suppresses extremely chemical and electrical costs. The study of the feasibility of the US/UV/ZnO/PS process in the treatment of real textile wastewater was done by determining COD, TOC and BOD/COD ratio. Results demonstrated that the 96.6 and 97.1% reduction of COD and TOC was achieved after 5 and 7 h reaction time, respectively. The obtained BOD/COD ratio changed from about 0.15 (for non-treated wastewater) to about 0.61 with increasing reaction time from zero to 90 min. In conclusion, the hybrid US/UV/ZnO/PS system can be proposed as a novel and promising approach to be utilized as a pretreatment technique before a biological treatment process to facilitate the biological treatment of recalcitrant textile wastewater.
本研究考察了声光氧化激活 ZnO/过硫酸盐(US/UV/ZnO/PS)工艺在酸性蓝 113(AB113)染料水溶液脱色中的协同性能及其在处理实际纺织废水方面的可行性。采用中心复合设计-响应面法(CCD-RSM)和人工神经网络(ANN)方法对 AB113 溶液的脱色进行建模,并采用 CCD-RSM 和遗传算法(GA)方法对其进行优化。统计指标表明,CCD-RSM 和 ANN 方法似乎都令人满意。然而,统计拟合措施的结果表明,CCD-RSM 方法相对于 ANN 方法具有相对优势。通过 CCD-RSM 和 GA 方法对工艺参数进行优化的结果似乎相似,如下所示:pH=6.1,反应时间=25 分钟,US 功率密度=300 W/L,ZnO=0.88g/L,PS=2.43mmol/L。与各自的工艺(US、UV、ZnO 和 PS)相比,发现杂化 US/UV/ZnO/PS 工艺具有 54.3%的协同效应。在反应溶液的弱酸条件下,发现·HO 和 HO2 是主要的氧化自由基。在存在一些阴离子的情况下,AB113 的去除效率按以下顺序降低:碳酸氢盐>硫酸盐>磷酸盐>硝酸盐>氯化物。此外,ZnO 的可重复使用性可行性表明,ZnO 材料在经过五次重复使用测试后仍保留其光催化性能,而反应溶液中 Zn 离子的浓度测量为 2.81mg/L。研究还表明,集成工艺的应用抑制了极高的化学和电力成本。通过测定 COD、TOC 和 BOD/COD 比值,研究了 US/UV/ZnO/PS 工艺在处理实际纺织废水方面的可行性。结果表明,在 5 和 7 小时的反应时间后,COD 和 TOC 的去除率分别达到了 96.6%和 97.1%。获得的 BOD/COD 比值随着反应时间从 0 增加到 90 分钟而从约 0.15(对于未经处理的废水)变为约 0.61。总之,杂化 US/UV/ZnO/PS 系统可以作为一种新的有前途的方法来作为生物处理之前的预处理技术,以促进难处理的纺织废水的生物处理。