Oyarce Estefanía, Roa Karina, Boulett Andrés, Sotelo Sebastián, Cantero-López Plinio, Sánchez Julio, Rivas Bernabé L
Departamento de Ciencias del Ambiente, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile.
Relativistic Molecular Physics Group (ReMoPh), PhD Program in Molecular Physical Chemistry, Facultad de Ciencias Exactas, Universidad Andres Bello, República 275, Santiago 8370143, Chile.
Polymers (Basel). 2021 Oct 8;13(19):3450. doi: 10.3390/polym13193450.
The current problem of contamination caused by colored industrial effluents has led to the development of different techniques to remove these species from water. One of them, polymer-enhanced ultrafiltration (PEUF), has been systematically studied in this mini review, in which research works from 1971 to date were found and analyzed. Dye retention rates of up to 99% were obtained in several cases. In addition, a brief discussion of different parameters, such as pH, interfering salts, type of polymer, dye concentration, and membrane type, and their influence in dye removal is presented. It was concluded from the above that these factors can be adapted depending on the pollutant to be remediated, in order to optimize the process. Finally, theoretical approaches have been used to understand the intermolecular interactions, and development of the studied technique. In this revision, it is possible to observe that molecular docking, molecular dynamics simulations, density functional theory calculations, and hybrid neural-genetic algorithms based on an evolutionary approach are the most usual approximations used for this purpose. Herein, there is a detailed discussion about what was carried out in order to contribute to the research development of this important science field.
当前有色工业废水造成的污染问题促使人们开发出不同技术来从水中去除这些物质。其中之一,即聚合物强化超滤(PEUF),已在本综述中得到系统研究,文中查找并分析了1971年至今的研究工作。在一些案例中获得了高达99%的染料截留率。此外,还简要讨论了不同参数,如pH值、干扰盐、聚合物类型、染料浓度和膜类型,以及它们对染料去除的影响。由此得出结论,可根据待修复的污染物来调整这些因素,以优化该过程。最后,已采用理论方法来理解分子间相互作用以及所研究技术的发展。在本次综述中,可以观察到分子对接、分子动力学模拟、密度泛函理论计算以及基于进化方法的混合神经遗传算法是为此目的最常用的方法。本文详细讨论了为推动这一重要科学领域的研究发展所开展的工作。