Engineering pore nanospaces by introducing aromatic effects in UiO-66 for efficient separation of light hydrocarbons DOI Open Access
Liang Zhang, Xiao‐Hong Xiong,

Liu‐Li Meng

et al.

Journal of Materials Chemistry A, Journal Year: 2023, Volume and Issue: 11(24), P. 12902 - 12909

Published: Jan. 1, 2023

A pore-nanospace-engineering strategy has been developed to construct a series of UiO-66-type Zr-MOFs by introducing different aromatic linkers. UiO-66-Naph exhibits the best C 2 H 6 /C 3 8 light hydrocarbon separation performance from CH 4 .

Language: Английский

Recent advances in metal-organic frameworks: Synthesis, application and toxicity DOI
Qian Zhang,

Shuguang Yan,

Xueting Yan

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 902, P. 165944 - 165944

Published: Aug. 4, 2023

Language: Английский

Citations

114

Defect Engineering of MOF‐Based Membrane for Gas Separation DOI
Shuo Li,

Weiyao Han,

Quan‐Fu An

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(38)

Published: May 26, 2023

Abstract Metal–organic frameworks (MOFs) are highly versatile materials that have been identified as promising candidates for membrane‐based gas separation applications due to their uniformly narrow pore windows and virtually unlimited structural chemical features. Defect engineering of MOFs has opened new opportunities manipulating MOF structures, providing a simple yet efficient approach enhancing membrane separation. However, the utilization this strategy tailor microstructures enhance performance is still in its infancy. Thus, summary aims provide guideline tailoring defective MOF‐based membranes. Recent developments defect membranes will be discussed, including synthesis strategies MOFs, effects defects on adsorption properties, transport mechanisms, recently reported Furthermore, emerging challenges future prospects outlined. Overall, offers an exciting opportunity improve there long way go fully understand influence properties optimize design specific applications. Nonetheless, continued research field holds great promise development next‐generation technologies.

Language: Английский

Citations

108

Colorimetric recognition of a biomarker of trichloroethylene in human urine and photocatalytic dye degradation employing unprecedented Co(II) MOF luminescent probe DOI

Vibhav Shukla,

Musheer Ahmad, Kafeel Ahmad Siddiqui

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1308, P. 138068 - 138068

Published: March 17, 2024

Language: Английский

Citations

47

Ni(II)-MOF based hypersensitive dual-function luminescent sensor towards 3-nitrotyrosine biomarker and 6-Propyl-2-thiouracil antithyroid drug in Urine DOI
Wen‐Cui Li, Liying Liu, Xiaoting Li

et al.

Journal of Materials Chemistry B, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Luminescent NiMOF demonstrated remarkable capabilities in efficient, sensitive and intelligent detection of 3-NT biomarker 6-PTU thyroid drug urine through luminescence quenching effects.

Language: Английский

Citations

26

Metal-organic frameworks: Recent advances in synthesis strategies and applications DOI

R. Udaya Rajesh,

Tessa Mathew,

Hemanth Kumar

et al.

Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: 162, P. 112223 - 112223

Published: Feb. 17, 2024

Language: Английский

Citations

25

Synthesis of dual functional Zn(II) MOF for colorimetric detection of norfloxacin and photocatalytic degradation of ornidzole drugs in aqueous medium DOI

Vibhav Shukla,

Musheer Ahmad, Kafeel Ahmad Siddiqui

et al.

Polyhedron, Journal Year: 2024, Volume and Issue: 260, P. 117078 - 117078

Published: May 31, 2024

Language: Английский

Citations

23

Research progress on antibacterial applications of metal-organic frameworks and their biomacromolecule composites DOI

Lei Guo,

Wei Kong,

Yilin Che

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 261, P. 129799 - 129799

Published: Feb. 1, 2024

Language: Английский

Citations

18

Adsorption and Separation by Flexible MOFs DOI Creative Commons
Irena Senkovska, Volodymyr Bon,

Antonia Mosberger

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Abstract Flexible metal–organic frameworks (MOFs) offer unique opportunities due to their dynamic structural adaptability. This review explores the impact of flexibility on gas adsorption, highlighting key concepts for storage and separation. Specific examples demonstrate principal effectiveness flexible in enhancing uptake working capacity. Additionally, mixed adsorption separation mixtures are reviewed, showcasing potential selective The also discusses critical role single isotherms analysis conditions designing experiments. Advanced combined characterization techniques crucial understanding behavior MOFs, including monitoring phase transitions, framework–guest guest–guest interactions. Key challenges practical application adsorbents addressed, such as kinetics switching, volume change, crystal damage during transitions. Furthermore, effects additives shaping “slipping off effect” discussed. Finally, benefits transitions beyond improved capacity selectivity outlined, with a particular focus advantages intrinsic thermal management. highlights using MOFs technologies, offering insights future research application.

Language: Английский

Citations

3

Cutting-edge research on mixed-metal MOFs: fabrication, characterization, properties, and uses DOI
Philips Chidubem Tagbo, Islam Ibrahim, Gehad G. Mohamed

et al.

Journal of Organometallic Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 123531 - 123531

Published: Jan. 1, 2025

Language: Английский

Citations

2

Interpretable Machine‐Learning and Big Data Mining to Predict Gas Diffusivity in Metal‐Organic Frameworks DOI Creative Commons

Shuya Guo,

Xiaoshan Huang,

Yizhen Situ

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(21)

Published: May 11, 2023

Abstract For gas separation and catalysis by metal‐organic frameworks (MOFs), diffusion has a substantial impact on the process' overall rate, so it is necessary to determine molecular behavior within MOFs. In this study, an interpretable machine learing (ML) model, light gradient boosting (LGBM), trained predict diffusivity selectivity of 9 gases (Kr, Xe, CH 4 , N 2 H S, O CO He). these gases, LGBM displays high accuracy (average R = 0.962) superior extrapolation for C 6 . And model calculation five orders magnitude faster than dynamics (MD) simulations. Subsequently, using interactive desktop application developed that can help researchers quickly accurately calculate molecules in porous crystal materials. Finally, authors find difference polarizability ( ΔPol ) key factor governing combining with Shapley additive explanation (SHAP). By ML, optimal MOFs are selected separating binary mixtures methanation. This work provides new direction exploring structure‐property relationships realizing rapid diffusivity.

Language: Английский

Citations

39