Adsorption behavior of hydrogen sulfide in the channels of Li-ABW zeolite: A study using density functional theory

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Fatemeh Pourroustaei-Ardakani , Hossein Mohammadi-Manesh , S. Javad Hashemifar
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Abstract

H2S is a highly toxic, flammable gas that poses risks to health, the environment, and industrial infrastructure. Zeolites, with their high porosity, offer a promising solution for its removal. This study employs density functional theory (DFT) to investigate the adsorption behavior of H2S within the Li-ABW zeolite framework, focusing on the synergistic effect of co-adsorbed water molecules. Six distinct systems were modeled: empty Li-ABW zeolite, half and full filled Li-ABW with H2O or H2S molecules, and equally filled zeolite with H2S and H2O molecules. Detailed analysis of geometric, energetic, and electronic properties reveals that the presence of water significantly enhances H2S adsorption in Li-ABW. Increased bond lengths between H2S and the zeolite framework suggest possible dissociative adsorption, while weakened H2S-zeolite interaction compared to H2O-zeolite interaction indicates facile H2S desorption. Furthermore, charge transfer analysis and HOMO/LUMO plots highlight stronger interactions and a more balanced electron distribution in the co-adsorbed system. Interestingly, the presence of water minimizes structural deformations of the zeolite framework while facilitating the formation of additional hydrogen bonds, potentially further promoting H2S desorption through water extraction. These findings demonstrate that Li-ABW zeolite, particularly in conjunction with water molecules, exhibits remarkable potential for efficient and selective H2S adsorption, offering promising avenues for practical applications in gas sweetening and industrial gas purification. In order to realize this potential, further investigation into the effects of solvents and cation exchange is necessary, which are outlined for future research.

Abstract Image

硫化氢在 Li-ABW 沸石通道中的吸附行为:密度泛函理论研究
H2S 是一种剧毒易燃气体,对健康、环境和工业基础设施构成威胁。沸石具有高孔隙率,为去除 H2S 提供了一种前景广阔的解决方案。本研究采用密度泛函理论(DFT)研究 H2S 在锂-ABW 沸石框架内的吸附行为,重点关注共吸附水分子的协同效应。模拟了六种不同的系统:空的 Li-ABW 沸石、含有 H2O 或 H2S 分子的半填充和全填充 Li-ABW 沸石,以及含有 H2S 和 H2O 分子的等填充沸石。对几何、能量和电子特性的详细分析显示,水的存在显著增强了 Li-ABW 对 H2S 的吸附。H2S 与沸石框架之间的键长增加表明可能存在离解吸附,而与 H2O- 沸石相互作用相比,H2S-沸石相互作用减弱表明 H2S 易于解吸。此外,电荷转移分析和 HOMO/LUMO 图突出显示了共吸附体系中更强的相互作用和更均衡的电子分布。有趣的是,水的存在最大程度地减少了沸石框架的结构变形,同时促进了更多氢键的形成,从而有可能通过水的提取进一步促进 H2S 的解吸。这些研究结果表明,Li-ABW 沸石,尤其是与水分子结合使用时,具有高效和选择性吸附 H2S 的显著潜力,为气体增甜和工业气体净化的实际应用提供了广阔的前景。为了实现这一潜力,有必要进一步研究溶剂和阳离子交换的影响,这也是未来研究的重点。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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