通过正向渗透进行海水淡化的氮化硼纳米片:分子动力学研究。

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-11-09 DOI:10.1016/j.jmgm.2024.108905
Amin Hamed Mashhadzadeh , Maryam Zarghami Dehaghani , Narges Vafa , Bahar Firoozabadi , Boris Golman , Christos Spitas , Konstantinos V. Kostas
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引用次数: 0

摘要

由于全球淡水资源短缺,科学家们对开发具有成本效益和高效率的海水淡化方法产生了浓厚的兴趣。正渗透(FO)膜因其能耗低、性价比高、脱盐效率高、污垢少等各种优点而广为人知。本文利用分子动力学(MD)模拟研究了含有氮化硼狭缝膜(BNSM)的 FO 系统的脱盐性能。研究探讨了狭缝宽度、温度、吸取溶液(DS)浓度及其类型(MgCl2、CaCl2 和 KCl)等参数对盐离子去除率和水流速的影响。随着狭缝宽度从 6 Å 增加到 9 Å,Na+ 和 Mg2+ 离子的剔除率分别从 100 % 下降到 94 % 和 96 %。根据斯托克斯-爱因斯坦方程,球形颗粒的扩散系数随温度升高而增大,因此温度升高导致离子排斥率下降,水流速度增加。由于狭缝宽度较小以及尺寸排除的主导作用,DS 浓度的变化不会影响离子排斥性能。DS 浓度的增加会导致浓度极化和渗透压的降低,从而导致水流速的下降。由于 K+ 离子的水合半径最大,因此 Mg2+ 和 Ca2+ 离子的截留率较高,而在 CaCl2 和 KCl 的 DS 系统中,Na+ 离子的截留率分别最高和最低,这与水流速率的变化趋势一致。
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Boron nitride nanoslits for water desalination via forward osmosis: A molecular dynamics study
The global shortage of freshwater resources has spurred significant interest among scientists in the development of cost-effective and highly efficient water desalination methods. The forward osmosis (FO) membrane has become well-known for its various advantages, such as its low energy usage, cost-effective performance, high efficiency in desalination, and minimal fouling. Herein, the desalination performance of an FO system containing a boron-nitride slit membrane (BNSM) was investigated using molecular dynamics (MD) simulations. The effects of parameters, including slit width, temperature, draw solution (DS) concentration, and its types (MgCl2, CaCl2, and KCl), on salt ion rejections and water flow rate were explored. The rejection percentages of Na+ and Mg2+ ions decreased from 100 % to 94 % and 96 %, respectively, as the slit width increased from 6 Å to 9 Å. Additionally, the water flow rate increased significantly, from 17.305 to 80.92 molecules/ns, with the same increase in slit width. The temperature elevation led to a decrease in ion rejection percentage and increased the water flow rate, since, according to the Stokes-Einstein equation, the diffusion coefficient of spherical particles increases with increasing temperature. The changes in DS concentration did not affect the ion rejection performance due to the small size of the slit width as well as the dominant effect of size exclusion. The increase in the DS concentration caused concentration polarization and a decrease in osmotic pressure resulting in a drop in the water flow rate. Due to the highest hydration radius of K+ ions, the rejection percentages of Mg2+ and Ca2+ ions were higher, while the Na + ion rejection percentages had the highest and lowest values in systems having DS of CaCl2 and KCl, respectively, which was in accordance with the trend of water flow rate.
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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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