Metal-Organic Frameworks: Tailorable Nanoporous Materials for Chemical Sensing

2012 ◽  
Vol 32 (2-4) ◽  
pp. 81-100 ◽  
Author(s):  
Yao Chen ◽  
Shengqian Ma

AbstractMicroporous metal-organic frameworks (MOFs) based on lanthanide metal ions or clusters represent a group of porous materials, featuring interesting coordination, electronic, and optical properties. These attractive properties in combination with the porosity make microporous lanthanide MOFs (Ln-MOFs) hold the promise for various applications. This review is to provide an overview of the current status of the research in microporous Ln-MOFs, and highlight their potential as types of multifunctional materials for applications in gas/solvent adsorption and separation, luminescence and chemical sensing and catalysis.


2013 ◽  
Vol 86 (2) ◽  
pp. 1223-1228 ◽  
Author(s):  
Xiaomei Lin ◽  
Gongmin Gao ◽  
Liyan Zheng ◽  
Yuwu Chi ◽  
Guonan Chen

2017 ◽  
Vol 46 (30) ◽  
pp. 9859-9867 ◽  
Author(s):  
Rui-Zhi Wu ◽  
Xing Yang ◽  
Liang-Wei Zhang ◽  
Pan-Pan Zhou

A co-doped lanthanide metal–organic framework (LnMOF) consisting of anion affinity sites exhibits self-calibrating, high distinguishable and stable photoluminescent signals for detecting toxic anions.


2010 ◽  
Vol 12 (39) ◽  
pp. 12621 ◽  
Author(s):  
Jeffery A. Greathouse ◽  
Nathan W. Ockwig ◽  
Louise J. Criscenti ◽  
T. R. Guilinger ◽  
Phil Pohl ◽  
...  

2021 ◽  
Author(s):  
Kelly M. Hunter ◽  
Jackson Wagner ◽  
Mark Kalaj ◽  
Wei Xiong ◽  
Paesani Lab

<div> <div> <div> <p>In nanoporous materials, guest–host interactions affect the properties and function of both adsorbent and adsorbate molecules. Due to their structural and chemical diversity, metal-organic frameworks (MOFs), a common class of nanoporous materials, have been shown to be able to efficiently and, often, selectively adsorb various types of guest molecules. In this study, we characterize the structure and dynamics of water confined in ZIF-90. Through the integration of experimental and computational infrared (IR) spectroscopy, we probe the structure of heavy water (D<sub>2</sub>O) adsorbed in the pores, disentangling the fundamental framework–water and water–water interactions. The experimental IR spectrum of D<sub>2</sub>O in ZIF-90 displays a blue-shifted OD-stretch band compared to liquid D<sub>2</sub>O. The analysis of the IR spectra simulated at both classical and quantum levels indicates that the D<sub>2</sub>O molecules preferentially interact with the carbonyl groups of the framework and highlights the importance of including nuclear quantum effects and taking into account Fermi resonances for a correct interpretation of the OD-stretch band in terms of the underlying hydrogen-bonding motifs. Through a systematic comparison with the experimental spectra, we demonstrate that computational spectroscopy can be used to gain quantitative, molecular-level insights into framework–water interactions that determine the water adsorption capacity of MOFs as well as the spatial arrangements of the water molecules inside the MOF pores which, in turn, are key to the design of MOF-based materials for water harvesting.</p> </div> </div> </div>


2019 ◽  
Author(s):  
Arni Sturluson ◽  
Melanie T. Huynh ◽  
Alec Kaija ◽  
Caleb Laird ◽  
Sunghyun Yoon ◽  
...  

Metal-organic frameworks (MOFs) are highly tunable, extended-network, crystalline, nanoporous materials with applications in gas storage, separations, and sensing. We review how molecular models and simulations of gas adsorption in MOFs have lucidly impacted the discovery of performant MOFs for methane, hydrogen, and oxygen storage, xenon, carbon dioxide, and chemical warfare agent capture, and xylene enrichment. Particularly, we highlight how large, open databases of MOF crystal structures, post-processed for molecular simulations, are a platform for computational materials discovery. We pontificate how to orient research efforts to routinize the computational discovery of MOFs for adsorption-based engineering applications.


2010 ◽  
Vol 23 (2) ◽  
pp. 249-267 ◽  
Author(s):  
Scott T. Meek ◽  
Jeffery A. Greathouse ◽  
Mark D. Allendorf

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