ALYATECH, C/Tres Creus, 236, Centre de Promoció Empresarial, 08203, Sabadell, Barcelona, Spain; Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, C. Martí i Franquès 1, 08028 Barcelona, Spain.
University of Lleida, Pl/ Victor Siurana, 1, 25003 Lleida, Spain.
J Colloid Interface Sci. 2017 Jul 15;498:323-334. doi: 10.1016/j.jcis.2017.03.068. Epub 2017 Mar 18.
Molecular simulations using the Grand Canonical Monte Carlo (GCMC) method have been performed in order to obtain physical insights on how the interaction between ibuprofen (IBP) and activated carbons (ACs) in aqueous mixtures affects IBP removal from water by ACs. A nanoporous carbon model based on units of polyaromatic molecules with different number of rings, defects and polar-oxygenated sites is described. Individual effects of factors such as porous features and chemical heterogeneities in the adsorbents are investigated and quantified. Results are in good agreement with experimental adsorption data, highlightening the ability of GCMC simulation to describe the macroscopic adsorption performance in drug removal applications, while also providing additional insights into the IBP/water adsorption mechanism. The simulation results allow finding the optimal type of activated carbon material for separating this pollutant in water treatment.
为了深入了解在水混合物中布洛芬(IBP)与活性炭(ACs)之间的相互作用如何影响 ACs 从水中去除 IBP,使用巨正则蒙特卡罗(GCMC)方法进行了分子模拟。描述了一种基于具有不同数量的环、缺陷和极性含氧位的多环芳烃分子单元的纳米多孔碳模型。研究和量化了吸附剂中多孔特征和化学不均匀性等因素的单独影响。结果与实验吸附数据吻合较好,突出了 GCMC 模拟在描述药物去除应用中的宏观吸附性能的能力,同时也提供了对 IBP/水吸附机制的更多深入了解。模拟结果可以找到用于在水处理中分离这种污染物的最佳类型的活性炭材料。