Essalmi S, Lotfi S, BaQais A, Saadi M, Arab M, Ait Ahsaine H
Laboratoire de Chimie Appliquée des Matériaux, Centre des Sciences des Matériaux, Faculty of Sciences, MohammedV University in Rabat Morocco
Université de Toulon, AMU, CNRS, IM2NP CS 60584 Toulon Cedex 9 France.
RSC Adv. 2024 Mar 20;14(13):9365-9390. doi: 10.1039/d3ra08815d. eCollection 2024 Mar 14.
The growing apprehension surrounding heavy metal pollution in both environmental and industrial contexts has spurred extensive research into adsorption materials aimed at efficient remediation. Among these materials, Metal-Organic Frameworks (MOFs) have risen as versatile and promising contenders due to their adjustable properties, expansive surface areas, and sustainable characteristics, compared to traditional options like activated carbon and zeolites. This exhaustive review delves into the synthesis techniques, structural diversity, and adsorption capabilities of MOFs for the effective removal of heavy metals. The article explores the evolution of MOF design and fabrication methods, highlighting pivotal parameters influencing their adsorption performance, such as pore size, surface area, and the presence of functional groups. In this perspective review, a thorough analysis of various MOFs is presented, emphasizing the crucial role of ligands and metal nodes in adapting MOF properties for heavy metal removal. Moreover, the review delves into recent advancements in MOF-based composites and hybrid materials, shedding light on their heightened adsorption capacities, recyclability, and potential for regeneration. Challenges for optimization, regeneration efficiency and minimizing costs for large-scale applications are discussed.
在环境和工业领域,人们对重金属污染的担忧与日俱增,这促使人们对用于高效修复的吸附材料展开了广泛研究。在这些材料中,金属有机框架(MOF)因其可调节的性质、巨大的表面积和可持续的特性,相较于活性炭和沸石等传统材料,已成为多功能且颇具潜力的有力竞争者。这篇详尽的综述深入探讨了MOF用于有效去除重金属的合成技术、结构多样性和吸附能力。文章探讨了MOF设计与制备方法的演变,突出了影响其吸附性能的关键参数,如孔径、表面积和官能团的存在。在这篇观点综述中,对各种MOF进行了全面分析,强调了配体和金属节点在调整MOF性质以去除重金属方面的关键作用。此外,综述还深入探讨了基于MOF的复合材料和混合材料的最新进展,揭示了它们更高的吸附能力、可回收性和再生潜力。讨论了优化、再生效率以及将大规模应用成本降至最低所面临的挑战。