Suppr超能文献

光催化过氧酮工艺在石化废水处理中的应用。

Application of photocatalytic proxone process for petrochemical wastewater treatment.

作者信息

Aghazadeh Mehrab, Hassani Amir Hessam, Borghei Mehdi

机构信息

Department of Environmental Sciences and Engineering, Faculty of Art and Architecture, Islamic Azad University, West Tehran Branch, Tehran, Iran.

Faculty of Natural Resources and Environment, Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

出版信息

Sci Rep. 2023 Aug 5;13(1):12738. doi: 10.1038/s41598-023-40045-4.

Abstract

Industrial wastewaters are different from sanitary wastewaters, and treatment complications due to their unique characteristics, so biological processes are typically disrupted. High chemical oxygen demand, dye, heavy metals, toxic organic and non-biodegradable compounds present in petroleum industry wastewater. This study intends to optimize the photocatalytic proxone process, utilizing a synthesized ZnO-FeO nanocatalyst, for petroleum wastewater treatment. The synthesis of ZnO-FeO was done by air oxidation and layer-by-layer self-assembly method and XRD, SEM, EDAX, FT-IR, BET, DRS, and VSM techniques were used to characterize the catalyst. Central composite design (CCD) method applied to investigated the effect of pH (4-8), reaction time (30-60 min), ozone gas concentration (1-2 mg/L-min), hydrogen peroxide concentration (2-3 mL/L) and the amount of catalyst (1-0.5 g/L) on the process. In the optimal conditions, biological oxygen demand (BOD) and total petroleum hydrocarbon (TPH) removal, reaction kinetic, and synergistic effect mechanisms on the process were studied. Based on the ANOVA, a quadratic model with R = 0.99, P-Value = 0.0001, and F-Value = 906.87 was proposed to model the process. Based on the model pH = 5.7, ozone concentration = 1.8 mg/L-min, hydrogen peroxide concentration = 2.5 mL/L, reaction time = 56 min, and the catalyst dose = 0.7 g/L were proposed as the optimum condition. According to the model prediction, an efficiency of 85.3% was predicted for the removal of COD. To evaluate the accuracy of the prediction, an experiment was carried out in optimal conditions, and experimentally, a 52% removal efficiency was obtained. Also, at the optimum condition, BOD and TPH removal were 91.1% and 89.7% respectively. The reaction kinetic follows the pseudo-first-order kinetic model (R = 0.98). Also, the results showed that there is a synergistic effect in this process. As an advanced hybrid oxidation process, the photocatalytic proxone process has the capacity to treat petroleum wastewater to an acceptable standard.

摘要

工业废水与生活污水不同,因其独特特性会导致处理过程出现复杂情况,所以生物处理工艺通常会受到干扰。石油工业废水中存在高化学需氧量、染料、重金属、有毒有机物和不可生物降解的化合物。本研究旨在利用合成的ZnO-FeO纳米催化剂优化光催化过氧乙酸工艺,用于石油废水处理。通过空气氧化和层层自组装法合成ZnO-FeO,并采用XRD、SEM、EDAX、FT-IR、BET、DRS和VSM技术对催化剂进行表征。应用中心复合设计(CCD)方法研究pH值(4 - 8)、反应时间(30 - 60分钟)、臭氧气体浓度(1 - 2毫克/升·分钟)、过氧化氢浓度(2 - 3毫升/升)和催化剂用量(1 - 0.5克/升)对该工艺的影响。在最佳条件下,研究了生物需氧量(BOD)和总石油烃(TPH)的去除、反应动力学以及该工艺的协同作用机制。基于方差分析,提出了一个二次模型,R = 0.99,P值 = 0.0001,F值 = 906.87,用于模拟该工艺。基于该模型,建议pH值 = 5.7、臭氧浓度 = 1.8毫克/升·分钟、过氧化氢浓度 = 2.5毫升/升、反应时间 = 56分钟和催化剂剂量 = 0.7克/升为最佳条件。根据模型预测,COD去除效率预计为85.3%。为评估预测的准确性,在最佳条件下进行了实验,实验得到的去除效率为52%。此外,在最佳条件下,BOD和TPH的去除率分别为91.1%和89.7%。反应动力学遵循准一级动力学模型(R = 0.98)。而且,结果表明该过程存在协同作用。作为一种先进的混合氧化工艺,光催化过氧乙酸工艺有能力将石油废水处理到可接受的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbe4/10404288/9b714d98e496/41598_2023_40045_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验