Saad Muhammad, Tahir Hajira
Department of Chemistry, University of Karachi, 75270, Pakistan.
Ultrason Sonochem. 2017 May;36:393-408. doi: 10.1016/j.ultsonch.2016.12.010. Epub 2016 Dec 9.
The contemporary problems concerning water purification could be resolved by using nanosorbents. The present studies emphasis on the synthesis of γ-FeO-activated carbon nanocomposites (γ-FeO-NP-AC) by sol-gel method. The composition and surface morphology of them were studied by FTIR, EDS, SEM and XRD techniques. Moreover they were employed for the selective removal of binary mixture of dyes including reactive red 223 dye (RR) and Malachite Green dye (MG) by ultrasonic assisted adsorption method. Sonication is the act of applying sound energy to agitate particles in the sample. The ultrasonic frequencies (>20kHz) were used to agitate experimental solutions in current studies. The response surface methodology based on 5 factorial central composite design (CCD) was employed to investigate the optimum parameters of adsorption. The optimum operating parameters (OOP) including sonication time, solution pH, amount of adsorbent, concentration of RR and MG were estimated for the selective removal of mixture of dyes. On OOP conditions of RR, the % removal of RR and MG were observed to be 92.12% and 10.05% respectively. While at OOP of MG, the % removal of MG and RR were observed to be 85.32% and 32.13% from the mixture respectively. Moreover the mechanisms of adsorption of RR and MG on the γ-FeO-NP-AC were also illustrated. The significance of the RR-γ-FeO-NP-AC and MG-γ-FeO-NP-AC adsorption models was affirmed by ANOVA test. The Pareto plots for the selective removal of the RR and MG from the binary mixture also confirm the significance of the factors. Isothermal studies were performed and RR adsorption was observed to follow Langmuir isotherm model whereas MG adsorption was observed to follow Freundlich model. Thermodynamic studies were conducted and the outcomes suggested the spontaneous nature of adsorption processes. The kinetic models were employed to study the kinetics of the process. It was observed that the system followed pseudo second order, intra-particle diffusion and Elovich models as represented by the R values of the respective models. The comparative study from the previously studies revealed that the proposed method is amongst them is the most efficient method to eliminate RR and MG dyes from the aqueous medium. Therefore the current study will be useful in reducing the toxicity of RR and MG contaminated effluent.
利用纳米吸附剂可以解决当前有关水净化的问题。目前的研究重点是通过溶胶 - 凝胶法合成γ - FeO负载活性炭纳米复合材料(γ - FeO - NP - AC)。采用傅里叶变换红外光谱(FTIR)、能谱分析(EDS)、扫描电子显微镜(SEM)和X射线衍射(XRD)技术研究了它们的组成和表面形态。此外,采用超声辅助吸附法将它们用于选择性去除包括活性红223染料(RR)和孔雀石绿染料(MG)的二元染料混合物。超声处理是指施加声能以搅拌样品中的颗粒。在当前研究中,使用超声频率(>20kHz)来搅拌实验溶液。基于五因素中心复合设计(CCD)的响应面方法用于研究吸附的最佳参数。估计了用于选择性去除染料混合物的最佳操作参数(OOP),包括超声处理时间、溶液pH值、吸附剂用量、RR和MG的浓度。在RR的OOP条件下,观察到RR和MG的去除率分别为92.12%和10.05%。而在MG的OOP条件下,观察到MG和RR从混合物中的去除率分别为85.32%和32.13%。此外,还阐述了RR和MG在γ - FeO - NP - AC上的吸附机理。通过方差分析(ANOVA)检验证实了RR - γ - FeO - NP - AC和MG - γ - FeO - NP - AC吸附模型的显著性。从二元混合物中选择性去除RR和MG的帕累托图也证实了这些因素的显著性。进行了等温线研究,观察到RR吸附遵循朗缪尔等温线模型,而MG吸附遵循弗伦德里希模型。进行了热力学研究,结果表明吸附过程具有自发性。采用动力学模型研究该过程的动力学。观察到该系统遵循伪二级、颗粒内扩散和埃洛维奇模型,分别由各自模型的R值表示。与先前研究的比较表明,所提出的方法是从水性介质中去除RR和MG染料的最有效方法之一。因此,当前的研究将有助于降低RR和MG污染废水的毒性。