Embedding Plasmonic Metal into Heterointerface of MOFs-Encapsulated Semiconductor Hollow Architecture for Boosting CO 2 Photoreduction.
Weihao MoZhixin FanShuxian ZhongWenbin ChenLingxuan HuHao ZhouWei ZhaoHongjun LinJing GeJianrong ChenSong BaiPublished in: Small (Weinheim an der Bergstrasse, Germany) (2023)
Coupling hollow semiconductor with metal-organic frameworks (MOFs) holds great promise for constructing high-efficient CO 2 photoreduction systems. However, energy band mismatch between them makes it difficult to exert their advantages to maximize the overall photocatalytic efficiency, since that the blockage of desirable interfacial charge transfer gives rise to the enrichment of photoelectrons and CO 2 molecules on the different locations. Herein, an interfacial engineering is presented to overcome this impediment, based on the insertion of plasmonic metal into the heterointerfaces between them, forming a stacked semiconductor/metal@MOF photocatalyst. Experimental observations and theoretical simulations validate the critical roles of embedded Au in maneuvering the charge separation/transfer and surface reaction: (i) bridges the photoelectron transfer from hollow CdS (H-CdS) to ZIF-8; (ii) produces hot electrons and shifts them to ZIF-8; (iii) induces the formation of ZIF-8 defects in promoting the CO 2 adsorption/activation and transformation to CO with low energy barriers. Consequently, the as-prepared H-CdS/Au@ZIF-8 with optimal ZIF-8 thickness exhibits distinctly boosted activity and superb selectivity in CO production as compared with H-CdS@ZIF-8 and other counterparts. This work provides protocols to take full advantages of components involved for enhanced solar-to-chemical energy conversion efficiency of hybrid artificial photosynthetic systems through rationally harnessing the charge transfer between them.
Keyphrases
- metal organic framework
- visible light
- quantum dots
- room temperature
- electron transfer
- sensitive detection
- ionic liquid
- molecular dynamics simulations
- machine learning
- optical coherence tomography
- reduced graphene oxide
- energy transfer
- molecularly imprinted
- molecular dynamics
- artificial intelligence
- mass spectrometry
- monte carlo