Phytosynthesis of magnetite (Fe3O4) nanoparticles for arsenite removal from waste water: Characterization, isotherm and kinetic studies

Azuka N. Amitaye , Elias E. Elemike , Esther Amitaye , Khairia M. Al-Ahmary , Saedah R. Al-Mhyawi , Ismail Hossain
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Abstract

Magnetite nanoparticles (Fe3O4NPs) was phytosynthesized using aqueous extract of unripe plantain peel and salts of iron. The technique is simple, cost-effective and eco-friendly. Synthesized nanomagnetite was characterized by Fourier-transform Infrared (FTIR) Spectroscopy, X-ray diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray (SEM/EDX), Transmission Electron Microscopy (TEM), Sear’s surface area and Isoelectric point. The magnetite nanoparticles are well dispersed with spherical surface morphology and mean particle size of 10.2 nm. The nanomagnetite is crystalline in nature with inverse spinel cubic structure and mean crystallite size of 12.4 nm. The specific surface area and isoelectric point of the nanomagnetite are 243.8 m2/g and 7.2 respectively, which make it a potential adsorbent material. Arsenite’s adsorption unto Fe3O4NPs was evaluated by batch equilibrium method. The empirical equilibrium data were fitted into Langmuir, Freundlich and Dubinin-Radushkevich (D-R) isotherm models to give insight into the pattern of adsorption of arsenite unto Fe3O4NPs. The best fit of isotherm model to empirical equilibrium data was obtained using error validity function and regression correlation coefficient value. Based on values of R2, the Langmuir model is a better fit between empirical and simulated equilibrium data but D-R model best explains the adsorption process due to its least error validity function (χ2 = 41.907). The kinetic data obtained at different contact time were analyzed using pseudo-first-order, pseudo-second-order, Elovic, intraparticles diffusion and Boyd diffusion models. The empirical rate data obey the pseudo-second-order model based on high R2 which indicate possibility of two reaction centres on the adsorbent. However, least χ2 value of 3.151 for Elovic kinetic model shows the adsorption process occurred on heterogenous surface by chemisorption. Although the rate-controlling step in arsenite’s adsorption unto Fe3O4NPs is multi-stepped but the rate of adsorption is controlled slightly by film diffusion (Boyd diffusion model). Adsorption of arsenite unto Fe3O4NPs was optimized and was found to be affected by initial concentration, magnetite dosage, solution pH, and contact time. Maximum adsorption capacity of 483.513 mg/g was achieved at pH 8 over contact time of 60 min at 28 ˚C. The negative value of Gibbs free energy (-17.346 J/mol) indicates the adsorption of As(III) unto Fe3O4NPs is spontaneous and occurred by physisorption due to the low value of energy of adsorption (E = 22.3607 J/mol). The effect of co-existing anions on adsorption of arsenite was investigated and results showed marginal negative effect by 3.02–7.26 % with sulphate ion exerting more effect on arsenite’s adsorption unto magnetite nanoparticles. Also, recyclability test indicated good reusability of about 32 % which implies reduction in arsenite’s removal efficiency of Fe3O4NP from 46.1 % to 31.74 % over 5 adsorption-desorption cycles. Thus, magnetite nanoparticles is a suitable adsorbent for arsenite removal from aqueous waste water due to its water-stability, high surface area, and good adsorption strength.
植物合成磁铁矿(Fe3O4)纳米颗粒去除废水中的亚砷酸盐:表征、等温线和动力学研究
以未熟大蕉皮水提物和铁盐为原料,合成了磁性纳米颗粒Fe3O4NPs。这项技术简单、经济、环保。采用傅里叶变换红外光谱(FTIR)、x射线衍射(XRD)、能量色散x射线扫描电镜(SEM/EDX)、透射电子显微镜(TEM)、Sear比表面积和等电点对合成的纳米磁铁矿进行了表征。纳米磁铁矿分散良好,表面呈球形,平均粒径为10.2 nm。纳米磁铁矿为结晶性质,具有反尖晶石立方结构,平均晶粒尺寸为12.4 nm。纳米磁铁矿的比表面积和等电点分别为243.8 m2/g和7.2,是一种有潜力的吸附剂材料。用间歇平衡法评价了亚砷对Fe3O4NPs的吸附性能。利用Langmuir, Freundlich和Dubinin-Radushkevich (D-R)等温线模型拟合了实验平衡数据,以了解亚砷对Fe3O4NPs的吸附模式。利用误差效度函数和回归相关系数值,得到了等温线模型与经验平衡数据的最佳拟合。从R2值来看,Langmuir模型与模拟平衡数据的拟合效果更好,而D-R模型的误差效度函数最小,最能解释吸附过程(χ2 = 41.907)。采用拟一阶、拟二阶、Elovic、颗粒内扩散和Boyd扩散模型对不同接触时间下的动力学数据进行了分析。经验速率数据符合基于高R2的伪二阶模型,表明吸附剂上可能存在两个反应中心。而Elovic动力学模型的χ2值最小为3.151,表明吸附过程是通过化学吸附在异质表面发生的。虽然亚砷酸盐对Fe3O4NPs的吸附速率控制步骤是多步的,但吸附速率受膜扩散(Boyd扩散模型)的控制较小。实验优化了Fe3O4NPs对亚砷酸盐的吸附,并发现初始浓度、磁铁矿用量、溶液pH和接触时间对亚砷酸盐的吸附有影响。在28˚C条件下,pH为8,接触时间为60 min,最大吸附量为483.513 mg/g。Gibbs自由能为负(-17.346 J/mol),表明吸附能较低(E = 22.3607 J/mol),表明As(III)对Fe3O4NPs的吸附是自发的,通过物理吸附发生的。研究了共存阴离子对亚砷酸盐吸附的影响,结果表明,硫酸盐离子对亚砷酸盐吸附的影响为3.02 - 7.26%,其中硫酸盐离子对亚砷酸盐吸附的影响更大。通过5次吸附-解吸循环,对Fe3O4NP的亚砷化物去除率由46.1%降至31.74%,可重复利用性达到32%左右。因此,磁性纳米颗粒具有水稳定性、高表面积和良好的吸附强度,是去除含水废水中亚砷酸盐的合适吸附剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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