Issue 45, 2023

A highly efficient synthetic strategy for de novo NP encapsulation into metal–organic frameworks: enabling further modulated control of catalytic properties

Abstract

De novo encapsulation is a prevalent method to prepare composite materials where the structure-tunable metal nanoparticles (NPs) are holistically coated with metal–organic frameworks (MOFs). This method has been demonstrated to have promise in various fields but the extensive application of this approach is still challenging. This study proposed, for the first time, leveraging a specific surface-energy-dominated (SED) mechanism to achieve a highly efficient synthetic strategy for de novo NP encapsulation. The generality of this strategy is proved in applying to various MOFs, reaction conditions and the use of capping agents. By applying the strategy, Pd NPs with different morphologies are encapsulated in UiO-67, which is prone to self-assembly without coating, and an interesting enhancement is investigated in the selective semihydrogenation of alkynes on different Pd surfaces. These results demonstrate that the control of surface energy is a feasible method for efficient NP encapsulation which sheds light on the rational design of MOF-based composites for future applications.

Graphical abstract: A highly efficient synthetic strategy for de novo NP encapsulation into metal–organic frameworks: enabling further modulated control of catalytic properties

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Article information

Article type
Edge Article
Submitted
01 Oct 2023
Accepted
30 Oct 2023
First published
07 Nov 2023
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2023,14, 13126-13133

A highly efficient synthetic strategy for de novo NP encapsulation into metal–organic frameworks: enabling further modulated control of catalytic properties

L. Zhou, Y. An, J. Ma, G. Hao, Z. Li, J. Chen and L. Chou, Chem. Sci., 2023, 14, 13126 DOI: 10.1039/D3SC05179J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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