High Gas Adsorption Capacity of anagw-Type Metal-Organic Framework Decorated with Methyl Groups

2016 ◽  
Vol 2016 (29) ◽  
pp. 4727-4730 ◽  
Author(s):  
Liting Du ◽  
Zhiyong Lu ◽  
Li Xu ◽  
Mengtao Ma ◽  
Jinchi Zhang
2021 ◽  
Vol 945 (1) ◽  
pp. 012074
Author(s):  
Pui San Ho ◽  
Kok Chung Chong ◽  
Soon Onn Lai ◽  
Shee Keat Mah ◽  
Sze Shin Lee ◽  
...  

Abstract Global warming issue due to the excessive carbon dioxide gas emission have raised strong interest in capturing or reducing the CO2 from flue gas or atmosphere. Physisorption-based CO2 capture applying the metal organic framework (MOF) provides a promising alternative for capturing CO2 due to the simplicity, low operating cost, and low energy requirement of the adsorption approach combined with the high CO2 adsorption capacity MOF material. In this study, a series of Chromium based MIL MOF with a variety molar ratio of chromium metal to 1,4-Benzene Dicarboxylate (BDC) organic linker were prepared via the solvent-free method (mechanochemical) to develop a clean and efficient way of synthesising MOF samples as promising CO2 adsorbents. The XRD results and FTIR spectra have confirmed the successful fabrication of MIL-101(Cr) MOF using the solvent-free method. The SEM images illustrated fine growth of irregular shaped coarse particles for Cr MOF with equal mole ratio of Cr to BDC. The MIL-101(Cr) samples were also tested on their CO2 adsorption capacity to understand the influence of molar ratio of the starting materials on the CO2 adsorption capacity. It was found that the MIL-101(Cr)1 led to the formation of a product with the highest CO2 uptake capacity of 18.78 mmol/g. In contrast, the EDS analysis result revealed that all the samples synthesised in this work were well incorporated with the Chromium element. It is therefore suggested that the molar ratio of Cr to BDC plays a critical role in determining the CO2 gas adsorption capacity.


2014 ◽  
Vol 38 (7) ◽  
pp. 2752-2755 ◽  
Author(s):  
Ji Hyuk Im ◽  
Nakeun Ko ◽  
Seung Jae Yang ◽  
Hye Jeong Park ◽  
Jaheon Kim ◽  
...  

A methyl-modified metal–organic framework (m-TiBDC) exhibiting significantly enhanced hydrostability than unmodified TiBDC maintains its framework structure and also CO2 gas adsorption capacity even after its immersion in water for 2 hours.


2012 ◽  
Vol 51 (9) ◽  
pp. 4947-4953 ◽  
Author(s):  
Zhangjing Zhang ◽  
Shengchang Xiang ◽  
Kunlun Hong ◽  
Madhab, C. Das ◽  
Hadi D. Arman ◽  
...  

CrystEngComm ◽  
2013 ◽  
Vol 15 (45) ◽  
pp. 9688 ◽  
Author(s):  
Yangyang Liu ◽  
Ying-Pin Chen ◽  
Tian-Fu Liu ◽  
Andrey A. Yakovenko ◽  
Aaron M. Raiff ◽  
...  

2016 ◽  
Vol 52 (14) ◽  
pp. 3003-3006 ◽  
Author(s):  
Linyi Bai ◽  
Binbin Tu ◽  
Yi Qi ◽  
Qiang Gao ◽  
Dong Liu ◽  
...  

Incorporating supramolecular recognition units, crown ether rings, into metal–organic frameworks enables the docking of metal ions through complexation for enhanced performance.


Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 419
Author(s):  
Hamza Ahmad Isiyaka ◽  
Khairulazhar Jumbri ◽  
Nonni Soraya Sambudi ◽  
Jun Wei Lim ◽  
Bahruddin Saad ◽  
...  

Drift deposition of emerging and carcinogenic contaminant dicamba (3,6-dichloro-2-methoxy benzoic acid) has become a major health and environmental concern. Effective removal of dicamba in aqueous medium becomes imperative. This study investigates the adsorption of a promising adsorbent, MIL-101(Cr) metal-organic framework (MOF), for the removal of dicamba in aqueous solution. The adsorbent was hydrothermally synthesized and characterized using N2 adsorption-desorption isotherms, Brunauer, Emmett and Teller (BET), powdered X-ray diffraction (XRD), Fourier Transformed Infrared (FTIR) and field emission scanning electron microscopy (FESEM). Adsorption models such as kinetics, isotherms and thermodynamics were studied to understand details of the adsorption process. The significance and optimization of the data matrix, as well as the multivariate interaction of the adsorption parameters, were determined using response surface methodology (RSM). RSM and artificial neural network (ANN) were used to predict the adsorption capacity. In each of the experimental adsorption conditions used, the ANN gave a better prediction with minimal error than the RSM model. The MIL-101(Cr) adsorbent was recycled six times to determine the possibility of reuse. The results show that MIL-101(Cr) is a very promising adsorbent, in particular due to the high surface area (1439 m2 g−1), rapid equilibration (~25 min), high adsorption capacity (237.384 mg g−1) and high removal efficiency of 99.432%.


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