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Removing 2,4-dichlorophenol from aqueous environments by heterogeneous catalytic ozonation using synthesized MgO nanoparticles

机译:通过合成的MgO纳米颗粒通过非均相催化臭氧化除去来自含水环境的2,4-二氯苯醇

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2,4-Dichlorophenol (2,4-DCP) is one of the seriously toxic chlorophenol compounds found in agricultural environments, in water disinfected by chlorine, and in outgoing effluents from the pulp and paper industries and paper manufacturing factories. This research studied the feasibility of using MgO nanoparticles (MgO-NPs) as a catalyst in the ozonation process for removing 2,4-DCP from aqueous environments under laboratory conditions. This study was conducted using a laboratoryscale semi-continuous reactor. It studied the effects of critical variables such as solution pH, ozonation time, dose of MgO-NPs and initial 2,4-DCP concentration. A statistical model of response surface model (RSM) was designed and utilized to obtain the optimum experimental conditions. Analysis of the data showed that initial concentration of 2,4-DCP and dose of MgO-NPs had the maximum effect on the response variable (percentage degradation of 2,4-DCP). Moreover, based on analysis of variance on the model, the optimum removal conditions were reaction time of 50 min, pH > 7, initial 2,4-DCP concentration of less than 50 mg/L, and an MgO-NPs dose of 0.3 mg/L. Under these optimum conditions, a removal efficiency of 99.99% was achieved. In addition, results indicated that catalytic ozonation in the presence of MgO-NPs was very efficient at removing 2,4-DCP from aqueous environments.
机译:2,4-二氯苯酚(2,4-DCP)是农业环境中发现的严重毒性氯酚化合物之一,在氯和纸质工业和造纸工厂的出境流出物中消毒。该研究研究了使用MgO纳米颗粒(MgO-NPS)作为臭氧化方法中的催化剂的可行性,用于在实验室条件下从水性环境中除去2,4-DCP。使用实验室Sprale半连续反应器进行该研究。它研究了临界变量如溶液pH,臭氧化时间,MgO-nps和初始2,4-DCP浓度的影响。设计并利用了响应面模型(RSM)的统计模型,以获得最佳的实验条件。数据分析表明,2,4-DCP的初始浓度和MgO-NPS的剂量对响应变量的最大影响(2,4-DCP的百分比降解)。此外,基于对模型的差异分析,最佳去除条件是50分钟的反应时间,pH> 7,初始2,4-DCP浓度小于50mg / L,MgO-NP剂量为0.3mg / l。在这些最佳条件下,达到了99.99%的去除效率。另外,结果表明,在从含水环境中除去2,4-DCP,在MgO-NPS存在下催化臭氧化非常有效。

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