School of Chemical Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Department of Industrial Chemistry, Federal University of Technology, Imo State, Owerri, PMB 1526, Nigeria.
Environ Sci Pollut Res Int. 2023 Jan;30(2):4462-4484. doi: 10.1007/s11356-022-22245-z. Epub 2022 Aug 15.
The purpose of this research is to synthesize environmentally friendly nanosorbents for the novel adsorption of diesel range organics (DRO) from contaminated water. Central composite design (CCD) analysis of response surface methodology (RSM) was employed in a model fitting of the variables predicting the adsorption efficiency of Moringa oleifera-functionalized zerovalent iron particles (ZINPs) for the removal of DRO. The effects of the reaction parameters on the response were screened using 2 factorial designs to determine the statistically significant independent variables. A quadratic model predicting the DRO adsorption efficiency of ZINPs with an F value of 276.84 (p value < 0.0001) was developed. Diagnostic plots show that the predicted values were in excellent agreement with actual experimental values (R = 0.99). The maximum percentage removal of DRO of 92.6% was achieved after optimization, using the synthesized ZINPs after 8 h of contact between DRO substrates and ZINPs at pH of 8, the temperature of 25 °C, with an adsorbent dosage of 2 g/L and at composite desirability of 1. Characterization of ZINPs revealed the formation of quasi nanospheres and nanocubes with an average particle diameter of 50.9 ± 9.7, a crystallite size of 15.31 nm, a crystallinity index of 32.47% and a pore width of 75.69-88.59 nm. The adsorption equilibrium data modelling of ZINPs for adsorption of DRO was best described by Langmuir isotherm with the maximum monolayer coverage capacity of 7.194 mg/g. The separation factor [Formula: see text], indicated favourable adsorption. The adsorption kinetic data were consistent with pseudo-second-order kinetics indicating probable chemisorption.
本研究旨在合成环保型纳米吸附剂,用于从受污染的水中对柴油范围有机物(DRO)进行新型吸附。采用响应面法(RSM)中的中心复合设计(CCD)对变量进行模型拟合,预测 Moringa oleifera 功能化零价铁颗粒(ZINPs)对 DRO 去除的吸附效率。使用 2 因子设计筛选反应参数对响应的影响,以确定具有统计学意义的独立变量。建立了一个预测 ZINPs 对 DRO 吸附效率的二次模型,该模型的 F 值为 276.84(p 值<0.0001)。诊断图表明,预测值与实际实验值非常吻合(R=0.99)。经过优化,在 DRO 底物与 ZINPs 接触 8 小时后,在 pH 值为 8、温度为 25°C、吸附剂用量为 2g/L 和综合适宜性为 1 的条件下,合成的 ZINPs 可实现 DRO 的最大去除率为 92.6%。ZINPs 的表征表明,形成了准纳米球和纳米立方体,平均粒径为 50.9±9.7nm,晶粒尺寸为 15.31nm,结晶度指数为 32.47%,孔径为 75.69-88.59nm。ZINPs 对 DRO 的吸附平衡数据模型最符合 Langmuir 等温线,最大单层覆盖容量为 7.194mg/g。分离因子 [Formula: see text],表明吸附有利。吸附动力学数据与准二级动力学一致,表明可能发生化学吸附。