Villacorta Verónica, Barrero César Augusto, Turrión María-Belén, Lafuente Francisco, Greneche Jean-Marc, García Karen Edilma
Solid State Group, Faculty of Exact and Natural Sciences, University of Antioquia - UdeA Street 67 N°53-108 Medellín Colombia
Institute on Sustainable Forest Management, Department of Agroforestry Sciences, Area of Soil Science and Agricultural Chemistry, University of Valladolid Palencia Spain.
RSC Adv. 2020 Nov 24;10(70):42688-42698. doi: 10.1039/d0ra08075f. eCollection 2020 Nov 23.
Adsorption kinetics models have been used to evaluate the adsorption behaviour of pollutants on different materials but there are no reports for the adsorption of As, As, Sb and Hg on co-precipitated akaganeite nanoparticles which were previously formed in the presence of these ions. In this research, the performance of pure and co-precipitated akaganeite nanoparticles as adsorbents of As, As, Sb and Hg in aqueous solutions was evaluated using the nonlinear kinetics models of Langmuir, Lagergren, Ho-McKay, Bangham, Elovich and simplified Elovich. In addition, transmission Fe Mössbauer spectrometry was used for the first time to compare the physico-chemical properties of akaganeite before and after the adsorption processes. The results showed that co-precipitated akaganeites had much better adsorption capacities than pure akaganeites. On the other hand, the Sb and Hg were the fastest and slowest pollutants respectively adsorbed on all akaganeites. The kinetics models that best described the experimental data for As, As and Sb were those of Elovich and simplified Elovich. For Hg, the kinetic model that best described the experimental data was that of Bangham. The 300 K and 77 K Mössbauer spectrometry showed only slight variations in some of the hyperfine parameters for the akaganeites after adsorption.
吸附动力学模型已被用于评估污染物在不同材料上的吸附行为，但此前并无关于在这些离子存在下预先形成的共沉淀赤铁矿纳米颗粒对砷、锑和汞吸附情况的报道。在本研究中，使用朗缪尔、拉格伦、何 - 麦凯、班汉姆、埃洛维奇和简化埃洛维奇等非线性动力学模型，评估了纯的和共沉淀的赤铁矿纳米颗粒作为水溶液中砷、锑和汞吸附剂的性能。此外，首次使用透射铁穆斯堡尔光谱法比较吸附过程前后赤铁矿的物理化学性质。结果表明，共沉淀赤铁矿的吸附能力比纯赤铁矿好得多。另一方面，锑和汞分别是在所有赤铁矿上吸附最快和最慢的污染物。最能描述砷、锑实验数据的动力学模型是埃洛维奇模型和简化埃洛维奇模型。对于汞，最能描述实验数据的动力学模型是班汉姆模型。300K和77K的穆斯堡尔光谱表明，吸附后赤铁矿的一些超精细参数仅有轻微变化。
