镁交换蛭石吸附医院废水中最常见药物残留的DFT研究

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Jean Wilfried Hounfodji, Wilfried G. Kanhounnon, Gaston Kpotin, Juliette Lainé, Guy S. Atohoun, Yann Foucaud, Michael Badawi
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引用次数: 0

摘要

每年都有大量含有药物残留物的废水排放到环境中。这些残基是破坏生物体新陈代谢的原因。在本研究中,蛭石作为一种低成本、高比表面积的粘土材料,是吸附去除微污染物的最佳有效方法。因此,我们研究了废水中最常见的药物污染物卡马西平(CAR)、阿司匹林(ASP)、地西泮(DIA)、双氯芬酸(DIC)、扑热息痛(PAR)和布洛芬(IBU)在与镁交换的蛭石水合表面的吸附,采用热力学计算和密度泛函数理论(DFT)。结果表明,DIC对蛭石水合表面的亲和性最高,其次是PAR、IBU、ASP、CAR和DIA。此外,在使用后,只需将蛭石加热到360 K的温度即可再生吸附剂。吸附都是放热的,其能量取决于表面污染物的结构构型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adsorption of Most Common Drug Residues From Hospital Wastewater on Vermiculite Exchanged With Magnesium: A DFT Study

Adsorption of Most Common Drug Residues From Hospital Wastewater on Vermiculite Exchanged With Magnesium: A DFT Study

Significant amounts of effluents containing pharmaceuticals residues are released each year in the environment. These residues are responsible for the disruption of the metabolism of organisms. In this study, vermiculite, a low-cost and high specific area clay material, is a best and effective way to remove the micro-pollutants by adsorption. Thus, we investigate the adsorption of carbamazepine (CAR), aspirin (ASP), diazepam (DIA), diclofenac (DIC), paracetamol (PAR), and ibuprofen (IBU), the most common pharmaceutical pollutants encountered in wastewater, on the hydrated surface of vermiculite exchanged with magnesium using thermodynamic calculations and density functional theory (DFT). Our results indicate that DIC exhibits the highest affinity for the hydrated surface of vermiculite, followed by PAR, IBU, ASP, CAR, and DIA. Furthermore, it is possible to regenerate the adsorbent after use, just by heating the vermiculite to a temperature of 360 K. The adsorptions are all exothermic, with energies depending upon the structural configuration of the pollutant on the surface.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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