Electrochemical oxidation of 5-hydroxymethylfurfural on ternary metal-organic frameworks nanoarrays: enhancement from electronic structure modulation

Author(s):  
Xiaojue Bai ◽  
Wenxiu He ◽  
Xingyu Lu ◽  
Yu Fu ◽  
Wei Qi

The rational design and exploitation of highly active and stable catalysts for the electrochemical oxidation of biomass-derived 5-hydroxymethylfurfural (HMF) to valuable chemical 2,5-furandi-carboxylic acid (FDCA), is of great significance. Herein,...

2018 ◽  
Vol 2 (8) ◽  
pp. 1436-1440 ◽  
Author(s):  
Lan Li ◽  
Qi Yin ◽  
Hong-Fang Li ◽  
Tian-Fu Liu ◽  
Rong Cao

By introducing a coordinative phosphate group into a carboxylic acid linker, a ligand was successfully synthesized and used to construct phonocarboxylate framework with narrow approachable channels.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Weiqing Xu ◽  
Yikun Kang ◽  
Lei Jiao ◽  
Yu Wu ◽  
Hongye Yan ◽  
...  

AbstractAlthough nanozymes have been widely developed, accurate design of highly active sites at the atomic level to mimic the electronic and geometrical structure of enzymes and the exploration of underlying mechanisms still face significant challenges. Herein, two functional groups with opposite electron modulation abilities (nitro and amino) were introduced into the metal–organic frameworks (MIL-101(Fe)) to tune the atomically dispersed metal sites and thus regulate the enzyme-like activity. Notably, the functionalization of nitro can enhance the peroxidase (POD)-like activity of MIL-101(Fe), while the amino is poles apart. Theoretical calculations demonstrate that the introduction of nitro can not only regulate the geometry of adsorbed intermediates but also improve the electronic structure of metal active sites. Benefiting from both geometric and electronic effects, the nitro-functionalized MIL-101(Fe) with a low reaction energy barrier for the HO* formation exhibits a superior POD-like activity. As a concept of the application, a nitro-functionalized MIL-101(Fe)-based biosensor was elaborately applied for the sensitive detection of acetylcholinesterase activity in the range of 0.2–50 mU mL−1 with a limit of detection of 0.14 mU mL−1. Moreover, the detection of organophosphorus pesticides was also achieved. This work not only opens up new prospects for the rational design of highly active nanozymes at the atomic scale but also enhances the performance of nanozyme-based biosensors.


2014 ◽  
Vol 6 (24) ◽  
pp. 22044-22050 ◽  
Author(s):  
Keith T. Butler ◽  
Christopher H. Hendon ◽  
Aron Walsh

2019 ◽  
Vol 141 (13) ◽  
pp. 5350-5358 ◽  
Author(s):  
Ekaterina A. Dolgopolova ◽  
Vladimir A. Galitskiy ◽  
Corey R. Martin ◽  
Haley N. Gregory ◽  
Brandon J. Yarbrough ◽  
...  

2020 ◽  
Author(s):  
Ali Raza ◽  
Arni Sturluson ◽  
Cory Simon ◽  
Xiaoli Fern

Virtual screenings can accelerate and reduce the cost of discovering metal-organic frameworks (MOFs) for their applications in gas storage, separation, and sensing. In molecular simulations of gas adsorption/diffusion in MOFs, the adsorbate-MOF electrostatic interaction is typically modeled by placing partial point charges on the atoms of the MOF. For the virtual screening of large libraries of MOFs, it is critical to develop computationally inexpensive methods to assign atomic partial charges to MOFs that accurately reproduce the electrostatic potential in their pores. Herein, we design and train a message passing neural network (MPNN) to predict the atomic partial charges on MOFs under a charge neutral constraint. A set of ca. 2,250 MOFs labeled with high-fidelity partial charges, derived from periodic electronic structure calculations, serves as training examples. In an end-to-end manner, from charge-labeled crystal graphs representing MOFs, our MPNN machine-learns features of the local bonding environments of the atoms and learns to predict partial atomic charges from these features. Our trained MPNN assigns high-fidelity partial point charges to MOFs with orders of magnitude lower computational cost than electronic structure calculations. To enhance the accuracy of virtual screenings of large libraries of MOFs for their adsorption-based applications, we make our trained MPNN model and MPNN-charge-assigned computation-ready, experimental MOF structures publicly available.<br>


2021 ◽  
Author(s):  
Yurong Shan ◽  
Dexiang Liu ◽  
Chunyan Xu ◽  
Peng Zhan ◽  
Hui Wang ◽  
...  

In this work, PMA@NH2-MIL-68(Rh) with a mangosteen spherical structure was successfully synthesized by a hydrothermal method for the photocatalytic reduction of carbon dioxide. The electronic structure and morphology of the...


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