Chrome Extension
WeChat Mini Program
Use on ChatGLM

Construction of BODIPY-based Triangular Metallacycles with Tunable Photosensitization Efficiency

Pei-Pei Jia,Yi-Xiong Hu, Zhen-Chen Lou, Xuelei Ji, Xing-Dong Xu,Haitao Sun,Tongxia Jin, Feng Zheng,Lin Xu

Chinese Chemical Letters(2025)

Wuhu Hospital | College of New Energy | State Key Laboratory of Precision Spectroscopy

Cited 0|Views6
Abstract
The development of highly effective photosensitizers (PSs) based on supramolecular coordination complexes (SCCs) is highly appealing in supramolecular chemistry, materials science, and biology. SCCs offer promising platforms for incorporating multiple PSs and other functional units into their well-defined structures, allowing for precise control over the number and distribution of these components. In this study, we present an efficient and straightforward method for modulating the photosensitization process of PSs derived from a family of BF2-chelated dipyrromethene (BODIPY)-containing Pt(II) metallacycles by varying pre-designed Pt(II) acceptors. By utilizing different Pt(II) acceptors with varying Pt atom configurations and degrees of π-conjugated organic moieties, we observed tunable characteristics in the photosensitization process and singlet oxygen (1O2) generation efficiency of these targeted metallacycles. Furthermore, we successfully conducted the visible-light-driven oxidative coupling of various amines to imines, catalyzed by the prepared metallacycle PSs. This study offers a novel approach for fabricating efficient PSs based on SCCs, featuring tunable photosensitization efficiency and excellent photocatalytic reactivity, while providing new insights into the preparation of effective PSs.
More
Translated text
Key words
Photochemistry,Coordination-driven self-assembly,Metallacycle,BODIPY,Photosensitization
求助PDF
上传PDF
Bibtex
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
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

要点】:本研究开发了一种基于BODIPY的三角形金属环结构的光敏剂,通过改变预先设计的Pt(II)受体实现了光敏化效率的可调性,为高效光敏剂的构建提供了新方法。

方法】:研究利用不同配置的Pt(II)受体和不同程度的π-共轭有机基团,调控了目标金属环的光敏化过程和 singlet oxygen (1O2) 生成效率。

实验】:实验中,通过可见光驱动的氧化偶联反应,将不同胺类化合物催化转化为亚胺,所使用的数据集为合成的BODIPY基Pt(II)金属环光敏剂,实验结果显示了优异的光催化活性。