Metal–organic frameworks as advanced materials for sample preparation of bioactive peptides

2021 ◽  
Vol 13 (7) ◽  
pp. 862-873
Author(s):  
Huifei Zhong ◽  
Yongming Li ◽  
Yanyan Huang ◽  
Rui Zhao

This minireview summarizes the recent advances in MOF-based affinity materials for the sample preparation of bioactive peptides.

Molecules ◽  
2020 ◽  
Vol 25 (18) ◽  
pp. 4216
Author(s):  
Héctor Martínez Pérez-Cejuela ◽  
José Manuel Herrero-Martínez ◽  
Ernesto F. Simó-Alfonso

This review summarizes the recent advances concerning metal–organic frameworks (MOFs) modified with several biomolecules (e.g., amino acids, nucleobases, proteins, antibodies, aptamers, etc.) as ligands to prepare affinity-based sorbents for application in the sample preparation field. The preparation and incorporation strategies of these MOF-based affinity materials were described. Additionally, the different types of ligands that can be employed for the synthesis of these biocomposites and their application as sorbents for the selective extraction of molecules and clean-up of complex real samples is reported. The most important features of the developed biocomposites will be discussed throughout the text in different sections, and several examples will be also commented on in detail.


2021 ◽  
Vol 34 ◽  
pp. 102179
Author(s):  
Nokubonga Makhanya ◽  
Bilainu Oboirien ◽  
Jianwei Ren ◽  
Nicholas Musyoka ◽  
Adriano Sciacovelli

CrystEngComm ◽  
2021 ◽  
Author(s):  
Qing Luo ◽  
Zhen Ding ◽  
Huamin Sun ◽  
Zhen Cheng ◽  
Naien SHI ◽  
...  

Ultrathin two-dimensional (2D) metal-organic framework (MOF) nanosheets are prosperous advanced materials due to their particularly thin thickness and exposed active sites. The difficulty in the controlled synthesis of 2D MOF...


2021 ◽  
pp. 118274
Author(s):  
Mohamed E. Mahmoud ◽  
Sarah M. Elsayed ◽  
Safe ELdeen M.E. Mahmoud ◽  
Reham O. Aljedaani ◽  
Mohamed Abdel Salam

2021 ◽  
Author(s):  
Bei Li ◽  
Dongsheng Zhao ◽  
Feng Wang ◽  
Xiaoxian Zhang ◽  
Wenqian Li ◽  
...  

This review covers the latest advancements of molecular logic gates based on LMOF. The classification, design strategies, related sensing mechanisms, future developments, and challenges of LMOFs-based logic gates are discussed.


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