优化聚乙烯醇作为水溶液中有机污染物吸附剂的温度效应和分子见解。

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Victoria T. Adeleke, Madison Lasich
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引用次数: 0

摘要

吸附法是废水处理中比较简单的方法之一,因为它简单易行、对环境友好且具有经济可行性。聚乙烯醇(PVA)具有生物相容性、无毒、水溶性和环保性,因此很有希望成为一种吸附剂。许多研究都报道了 PVA 在吸附污染物方面的潜力,但对其吸附机理的了解还很欠缺。本研究采用密度泛函理论和蒙特卡罗分子动力学模拟的理论方法,研究了模型有机分子(溴百里酚蓝 (BTB)、亚甲蓝 (MB)、甲硝唑 (MNZ) 和四环素 (TC))在 PVA 表面的吸附机理行为。量子化学计算结果表明,随着 PVA 链(2、4、8、16 和 32 个单位)的增加,零点能降低(从 -308.79 到 -4922.93 kcal/mol),而偶极矩增加(从 4.37 到 87.52 Debye)。温度对 PVA 链结构的影响在所有链单元中都表现出相同的趋势,随着温度的升高(50-600 K),零点能没有明显变化,焓能增加,而吉布斯自由能降低。温度对 PVA-污染物复合物结构的影响表明,零点能没有明显变化,吉布斯自由能和热能随温度升高而增加,而反应动力学速率随温度升高而降低。抗生素和染料复合物的反应热焓呈现出不同的趋势。在所有研究的热力学性质和反应速率中,污染物与 PVA 的亲和性顺序依次为 TC > MNZ > MB > BTB。蒙地卡罗模拟用于研究污染物在 PVA 表面的吸附行为。就 PVA 表面对污染物的亲和力而言,负吸附能(-366.56 至 -2266.81 kcal/mol)依次为 TC > MNZ > BTB > MB,分子动力学模拟结果也遵循相同的顺序。所得结果为了解 PVA 作为吸附剂的机理和性能提供了宝贵的见解。大部分计算结果与现有的实验结果非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Temperature effects and molecular insights towards the optimization of polyvinyl alcohol as adsorbent of organic pollutants from aqueous solution

Temperature effects and molecular insights towards the optimization of polyvinyl alcohol as adsorbent of organic pollutants from aqueous solution

One of the easier methods of wastewater treatment is adsorption due to its simplicity in implementation, environmental friendliness, and economic feasibility. Polyvinyl alcohol (PVA) looks promising as an adsorbent due to its biocompatible, non-toxic, water-soluble and eco-friendly nature. The investigation of PVA for its potential in the adsorption of pollutants has been reported in many studies but the mechanistic understanding of the adsorption is poor. The present study used a theoretical approach through density functional theory and Monte Carlo with molecular dynamics simulations to investigate the adsorption mechanism behaviors of model organic molecules (bromothymol blue (BTB), methylene blue (MB), metronidazole (MNZ) and tetracycline (TC)) on PVA surface. The quantum chemical calculations result showed that with the increase in PVA chains (2, 4, 8, 16, and 32 units), the zero-point energy decreases (from −308.79 to −4922.93 kcal/mol) while the dipole moment increases (from 4.37 to 87.52 Debye). Temperature effect on the PVA chain structures showed the same trends for all the chain units and with the increase in temperature (50–600 K), there are no appreciable changes in zero-point energy, enthalpy energy increases while Gibbs free energy decreases. Considering PVA-pollutant complexes, the effects of temperature on the structures showed that there are no appreciable changes in the zero-point energy, Gibbs free and thermal energies increase with an increase in temperature while the kinetic rate of reactions decreases with an increase in temperature. The enthalpy of the reaction showed different trends with antibiotic and dye complexes. In all the thermodynamic properties investigated and the rate of reaction, the order of affinity of the pollutants with PVA followed TC > MNZ > MB > BTB. Monte Carlo simulation was used to investigate the adsorption behavior of the pollutants on the surface of PVA. The negative adsorption energies (−366.56 to −2266.81 kcal/mol) in terms of affinity towards the pollutants on the surface of PVA followed the sequence TC > MNZ > BTB > MB and the molecular dynamic simulation results followed the same order. The obtained results give valuable insights into the mechanism and performance of PVA as an adsorbent. Most of these computational observations are in good agreement with the available experimental results.

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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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