具有亲水性的聚多巴胺掺杂 MOF 膜,可实现有效的油水分离和防污模型分析与预测

IF 5.3 2区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Molecular Liquids Pub Date : 2024-11-06 DOI:10.1016/j.molliq.2024.126432
Lu Wang , Langyuan Cao , Jianhua Fan , Zonghao Li , Zhiwu Han , Dan Liu
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引用次数: 0

摘要

在现代工业生产过程中,大量溢油和含油废水被排放,造成了严重的水污染。含油废水对生态系统和人类健康危害极大。油水分离已成为当前的一大难题,而膜分离因其经济效益高,近年来引起了越来越多的关注。本文利用基于金属有机框架-5(MOF-5)和聚多巴胺(PDA)层的新型纳米粒子作为掺杂剂,制备了聚醚砜(PES)过滤膜,并充分探讨了所制备膜的孔隙率、形态、分离度、亲水性和抗污性能。此外,制备的膜还被用于油水分离,包括水包大豆、水包石油醚和水包汽油乳液。MOF@PDA 膜的分离效率高达 99.8%。随后,利用Derjaguin-Landau-Verwey-Overbeek(XDLVO)理论研究了膜的堵塞机理,并比较了三种油水乳液与膜相互作用的分子模式。新制备的 MOF@PDA 膜具有更好的稳定性、抗污性和自洁性。最后,建立了油水分离效率的最佳机器学习模型,预测准确率高达 98%。研究结果表明,混合基质膜具有优异的油水分离性能,在含油废水处理中具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Polydopamine-incorporated MOF membrane with hydrophilicity for effective oil/water separation and fouling-resistant model analysis and prediction
A large number of oil spills and oily wastewater are discharged, in the modern industrial production process, resulting in serious water pollution. Oily wastewater can be extremely harmful to ecosystems and human health. Oil-water separation has become a major challenge at present, and membrane separation has aroused more and more concern in recent years due to its high economic efficiency. This paper fabricated PES filtration membranes using the novel nanoparticles based on both metal–organic frameworks-5 (MOF-5) and polydopamine (PDA) layers as dopants, and then adequately explored the porosity, morphology, separation, hydrophilicity, and fouling-resistant performance of the resultant membranes. In addition, the prepared membranes were used for oil–water separation, including soybean-in-water, petroleum ether-in-water, and gasoline-in-water emulsions. MOF@PDA membranes exhibit high separation efficiency of up to 99.8%. Subsequently, membrane fouling mechanisms were investigated using the Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory, and the molecular mode of interaction with the three oil–water emulsions with the membrane was compared. Newly prepared MOF@PDA membranes have better stability, fouling-resistant, and self-cleaning properties. Finally, an optimal machine learning model for oil–water separation efficiency was developed with a high prediction accuracy of 98%. The obtained results indicate that mixed matrix membranes exhibit excellent oil–water separation performance, demonstrating great application prospects in the remediation of oily wastewater.
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来源期刊
Journal of Molecular Liquids
Journal of Molecular Liquids 化学-物理:原子、分子和化学物理
CiteScore
10.30
自引率
16.70%
发文量
2597
审稿时长
78 days
期刊介绍: The journal includes papers in the following areas: – Simple organic liquids and mixtures – Ionic liquids – Surfactant solutions (including micelles and vesicles) and liquid interfaces – Colloidal solutions and nanoparticles – Thermotropic and lyotropic liquid crystals – Ferrofluids – Water, aqueous solutions and other hydrogen-bonded liquids – Lubricants, polymer solutions and melts – Molten metals and salts – Phase transitions and critical phenomena in liquids and confined fluids – Self assembly in complex liquids.– Biomolecules in solution The emphasis is on the molecular (or microscopic) understanding of particular liquids or liquid systems, especially concerning structure, dynamics and intermolecular forces. The experimental techniques used may include: – Conventional spectroscopy (mid-IR and far-IR, Raman, NMR, etc.) – Non-linear optics and time resolved spectroscopy (psec, fsec, asec, ISRS, etc.) – Light scattering (Rayleigh, Brillouin, PCS, etc.) – Dielectric relaxation – X-ray and neutron scattering and diffraction. Experimental studies, computer simulations (MD or MC) and analytical theory will be considered for publication; papers just reporting experimental results that do not contribute to the understanding of the fundamentals of molecular and ionic liquids will not be accepted. Only papers of a non-routine nature and advancing the field will be considered for publication.
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