Molecular dynamic simulations and quantum chemical calculations of adsorption process using amino-functionalized silica

吸附 轨道能级差 化学 分子 阳离子聚合 分子动力学 表面改性 选择性吸附 罗丹明B 计算化学 化学工程 物理化学 有机化学 光催化 催化作用 工程类
作者
Yan Cao,Rahime Eshaghi Malekshah,Zahra Heidari,Rasool Pelalak,Azam Marjani,Saeed Shirazian
出处
期刊:Journal of Molecular Liquids [Elsevier]
卷期号:330: 115544-115544 被引量:71
标识
DOI:10.1016/j.molliq.2021.115544
摘要

Abstract Present study focused on the adsorption behavior of two cationic dyes (Neutral Red (NR) and Rhodamine B (RB)) on mesoporous silica (MPS) and amino-functionalized MPS with N1-(3-Trimethoxysilylpropyl) diethylenetriamine linker (TAF/MPS). In order to provide more details about adsorption mechanism of dyes on the adsorbents surface, the molecular dynamics (MD) simulations were employed. A very promising simulation approach for adsorption of NR and RB dyes by functionalized and bare MPS adsorbents were obtained by MD results. The obtained results of quantum chemical calculations confirmed the highest adsorption energy for TAF/MPS-water-RB configurations, while the MPS-water-NR had the lowest adsorption energy. According to the results, functionalization of MPS with amino groups led to improvement in adsorption affinity of both dyes. The Sigma profiles demonstrated higher RB adsorption on both adsorbent while lower HOMO–LUMO energy gap was observed for RB dye compared to NR dye. Based on the energies of the HOMO and LUMO, other quantum chemical descriptors were calculated for different dyes, water and adsorbent configurations. These descriptors include: hardness (η), softness (σ), chemical potential (μ), nucleophilicity (ɛ) and electrophilicity index (ω). It was observed that the chemical reactivity, softness, and polarizability of RB dye were more than that of NR dye. The results of this study provide deeper atomic/molecular understanding into the adsorption mechanism of dye molecules on adsorbent surface which could help to get new insights about interactions of molecules. Moreover, MD simulation can be a very useful approach in term of cost-efficient and time saving for predicting the adsorption behavior of structures.
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