Mehrabi Fatemeh, Alipanahpour Dil Ebrahim
Young Researchers and Elite Club, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran.
Young Researchers and Elite Club, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran.
Ultrason Sonochem. 2017 Jul;37:37-46. doi: 10.1016/j.ultsonch.2016.12.038. Epub 2016 Dec 30.
In present study, magnetic cobalt ferrite nanoparticles modified with (E)-N-(2-nitrobenzylidene)-2-(2-(2-nitrophenyl)imidazolidine-1-yl) ethaneamine (CoFeO-NPs-NBNPIEA) was synthesized and applied as novel adsorbent for ultrasound energy assisted adsorption of nickel(II) ions (Ni) from aqueous solution. The prepared adsorbent characterized by Fourier transforms infrared spectroscopy (FT-IR), transmission electron microscope (TEM), vibrating sample magnetometer (VSM) and X-ray diffraction (XRD). The dependency of adsorption percentage to variables such as pH, initial Ni ions concentration, adsorbent mass and ultrasound time were studied with response surface methodology (RSM) by considering the desirable functions. The quadratic model between the dependent and independent variables was built. The proposed method showed good agreement between the experimental data and predictive value, and it has been successfully employed to adsorption of Ni ions from aqueous solution. Subsequently, the experimental equilibrium data at different concentration of Ni ions and 10mg amount of adsorbent mass was fitted to conventional isotherm models like Langmuir, Freundlich, Tempkin, Dubinin-Radushkevich and it was revealed that the Langmuir is best model for explanation of behavior of experimental data. In addition, conventional kinetic models such as pseudo-first and second-order, Elovich and intraparticle diffusion were applied and it was seen that pseudo-second-order equation is suitable to fit the experimental data.
在本研究中,合成了用(E)-N-(2-硝基亚苄基)-2-(2-(2-硝基苯基)咪唑烷-1-基)乙胺修饰的磁性钴铁氧体纳米颗粒(CoFeO-NPs-NBNPIEA),并将其用作新型吸附剂,用于超声能量辅助从水溶液中吸附镍(II)离子(Ni)。通过傅里叶变换红外光谱(FT-IR)、透射电子显微镜(TEM)、振动样品磁强计(VSM)和X射线衍射(XRD)对制备的吸附剂进行了表征。采用响应面法(RSM),考虑理想函数,研究了吸附百分比对pH值、初始镍离子浓度、吸附剂质量和超声时间等变量的依赖性。建立了因变量和自变量之间的二次模型。该方法在实验数据和预测值之间显示出良好的一致性,并已成功用于从水溶液中吸附镍离子。随后,将不同镍离子浓度和10mg吸附剂质量下的实验平衡数据拟合到Langmuir、Freundlich、Tempkin、Dubinin-Radushkevich等传统等温线模型中,结果表明Langmuir模型最适合解释实验数据的行为。此外,应用了伪一级和二级、Elovich和颗粒内扩散等传统动力学模型,结果表明伪二级方程适合拟合实验数据。