A Joint Mechanism for Singlet Oxygen Generation by Diketone-Anchored MIL-101: Exciton-mediated Energy Transfer and Photosensitization
Applied Catalysis A-general(2021)SCI 2区
Abstract
Post-synthetic modification with β-diketone has been proven as an effective strategy to improve the visible light response activities of metal-organic frameworks (MOFs). Nevertheless, the effects of the anchored-diketones on the excitonic behaviors and photocatalytic mechanisms of MOFs are still unclear. Herein, two MOFs (MIL-101 with CrIII and MIL-101 with AlIII) were employed as prototypical materials to further understand this post-synthetic modification strategy. Diketone anchoring could enhance the photocatalytic generation of singlet oxygen (1O2) by the two MOFs in a joint mechanism: exciton-mediated energy transfer and photosensitization. Diketone anchoring induced triplet exciton was found playing an important role in the photocatalytic generation of 1O2. The photosensitization of the anchored-diketone also played a key role in the photocatalytic generation of 1O2. The results here provide a useful guidance for the development of MOFs-based photocatalysts and are helpful to realize the regulation of excitonic behaviors and photocatalytic mechanisms of MOFs.
MoreTranslated text
Key words
Acetylacetone,Charge transfer,Exciton,Oxygen vacancy,Singlet oxygen
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Chemosphere 2022
被引用8
CHEMOSPHERE 2023
被引用32
In or On, a Study of the Influence of the Binding Site for TiO2 and MIL-101(Cr).
DALTON TRANSACTIONS 2023
被引用1
GREEN CHEMISTRY 2023
被引用3
JOURNAL OF ENVIRONMENTAL SCIENCES 2024
被引用2
Coordination Chemistry Reviews 2023
被引用14
SCIENCE OF THE TOTAL ENVIRONMENT 2023
被引用7
Microchemical Journal 2024
被引用1
Separation and Purification Technology 2024
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper