Highly efficient fluoride removal from water using 2D metal-organic frameworks MIL-53(Al) with rich Al and O adsorptive centers

Huang, Lei; Yang, Zhihui; Alhassan, Sikpaam Issaka; Luo, Zhixuan; Song, Baocheng; Jin, Linfeng; Zhao, Yixian; Wang, Haiying

doi:10.1016/j.ese.2021.100123

Cited by 20 publications

(1 citation statement)

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“…Metal organic frameworks (MOFs), consisting of metal ions coordinated to organic ligands as linkers have been studied as a new category of organic/inorganic hybrid materials with a tailored pore structure [19,20]. Additionally, the organic linkers present in the MOFs' structures were studied to provide a better affinity with the MOF and organic polymers, compared with purely inorganic compounds as an additive that has been utilized for the preparation of advanced mixed matrix membranes [21,22]. The good compatibility between these two phases have been related to the formation of non-covalent bonds, such as hydrogen bonds, or even covalent bonds when the MOF-polymer composite is formed via in situ polymerization.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of a Cation-Exchange Membrane via the Blending of SPES/N-Phthaloyl Chitosan/MIL-101(Fe) Using Response Surface Methodology for Desalination

et al. 2022

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In the present work, a novel mixed matrix cation exchange membrane composed of sulfonated polyether sulfone (SPES), N-phthaloyl chitosan (NPHCs) and MIL-101(Fe) was synthesized using response surface methodology (RSM). The electrochemical and physical properties of the membrane, such as ion exchange capacity, water content, morphology, contact angle, fixed ion concentration and thermal stability were investigated. The RSM based on the Box–Behnken design (BBD) model was employed to simulate and evaluate the influence of preparation conditions on the properties of CEMs. The regression model was validated via the analysis of variance (ANOVA) which exhibited a high reliability and accuracy of the results. Moreover, the experimental data have a good fit and high reproducibility with the predicted results according to the regression analysis. The embedding of MIL-101(Fe) nanoparticles contributed to the improvement of ion selective separation by forming hydrogen bonds with the polymer network in the membrane. The optimum synthesis parameters such as degree of sulfonation (DS), the content of SPES and NPHCs and the content of MIL-101(Fe) were acquired to be 30%, 85:15 and 2%, respectively, and the corresponding desalination rate of the CEMs improved to 136% while the energy consumption reduced to 90%. These results revealed that the RSM was a promising strategy for optimizing the preparation factors of CEMs and other similar multi-response optimization studies.

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