Ahmadi Shahin, Mohammadi Leili, Rahdar Abbas, Rahdar Somayeh, Dehghani Ramin, Igwegbe Chinenye Adaobi, Kyzas George Z
Department of Environmental Health, Zabol University of Medical Sciences, Zabol 986161588, Iran.
PhD of Environmental Health, Infectious Diseases and Tropical Medicine Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan 9816743463, Iran.
Nanomaterials (Basel). 2020 Mar 19;10(3):556. doi: 10.3390/nano10030556.
In the current work, neodymium oxide (NdO) nanoparticles were synthesized and characterized by means of X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). The major aim/investigation of this research was to fit/model and optimize the removal of Acid Blue 92 (AB92) dye from synthetic effluents (aqueous solutions) using the adsorption process based on neodymium oxide (NdO) nanoparticles. To optimize the adsorption conditions, central composite design (CCD) based on response surface methodology (RSM) was applied. The effects of pH (3-9), adsorbent dosage (0.1-1 g/L), initial concentration of AB92 (100-300 mg/L), and contact time (10-100 min) on the adsorption process were investigated. Apart from equilibrium and kinetic experiments, thermodynamic evaluation of the adsorption process was also undertaken. The adsorption process was found to have the best fitting to Langmuir isotherm model and pseudo-second-order kinetic equation. Also, the process was found to be spontaneous and favorable with increased temperature. The optimal conditions found were: pH = 3.15, AB92 concentration equal to 138.5 mg/L, dosage of nanoadsorbent equal to 0.83 g/L, and 50 min as contact time, which resulted in 90.70% AB92 removal. High values for the coefficient of determination, (0.9596) and adjusted (0.9220) indicated that the removal of AB92 dye using adsorption can be explained and modeled by RSM. The Fisher's -value (25.4683) denotes that the developed model was significant for AB92 adsorption at a 95% confidence level.
在当前工作中,通过X射线衍射(XRD)、傅里叶变换红外光谱(FTIR)和扫描电子显微镜(SEM)对氧化钕(NdO)纳米颗粒进行了合成与表征。本研究的主要目的/调查是基于氧化钕(NdO)纳米颗粒,利用吸附过程对合成废水(水溶液)中酸性蓝92(AB92)染料的去除进行拟合/建模并优化。为了优化吸附条件,应用了基于响应面法(RSM)的中心复合设计(CCD)。研究了pH值(3 - 9)、吸附剂用量(0.1 - 1 g/L)、AB92初始浓度(100 - 300 mg/L)和接触时间(10 - 100 min)对吸附过程的影响。除了平衡和动力学实验外,还对吸附过程进行了热力学评估。发现吸附过程对朗缪尔等温线模型和伪二级动力学方程拟合效果最佳。此外,该过程被发现是自发的,且随着温度升高而有利。发现的最佳条件为:pH = 3.15,AB92浓度等于138.5 mg/L,纳米吸附剂用量等于0.83 g/L,接触时间为50 min,这导致AB92去除率达到90.70%。决定系数的高值(0.9596)和调整后的决定系数(0.9220)表明,利用吸附去除AB92染料可以通过响应面法进行解释和建模。费舍尔F值(25.4683)表示所建立的模型在95%置信水平下对AB92吸附具有显著性。