WeChat Mini Program
Old Version Features

Efficient Fixation of CO2 to Cyclic Carbonate Using Hydroxyl-Functionalized Protic Ionic Liquids with Multiple Ion Pairs under Mild Conditions

Ziyang Xu, Fangfang Zhao, Yuanhao Wang,Ping Liu, Yulu Qu, Zhiyi Chen, Wanliang Yang,Tianxiang Zhao

Separation and Purification Technology(2025)SCI 1区

Cited 0|Views12
Abstract
The development of catalysts with high stability, easy recovery, and multiple active sites is a particularly challenging aspect of CO2 catalysis. In this study, several hydroxyl-functionalized ionic liquids (HPILs) with multiple active sites were developed to achieve efficient CO2 conversion from flue gas. We investigated the cycloaddition performance with CO2 using these HPILs as catalysts and allyl glycidyl ethers (AGE) as model substrates. Among these, the [TDMPH]I catalysts, featuring I- and hydroxyl active sites, achieved impressive product yields (98 %) and selectivity (>99 %) at 60 degrees C, 1 bar, and 5 mol% catalyst dosage over 4 h. Notably, this reaction was conducted under solvent-free conditions without the need for co-catalysts. Furthermore, these ionic liquids exhibit non-homogeneous catalyst characteristics, enabling efficient recovery via ethyl acetate crystallization, along with excellent cyclic stability and high activity.
More
Translated text
Key words
Ionic liquids,Hydroxyl-functionalized,Multi-active site,Cyclic carbonates,Ionic liquids,CO(2 )conversion,Hydroxyl-functionalized,Multi-active site,Cyclic carbonates
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
Related Papers
Jun-Fei Li, Xiao-Hui Guan,Hui-Jun Feng, Dai-Mei Zhou,Qiao-Yun Liu, Wen-Yao Zhang, Cai-Hong Guo, Jun-Hua Bai,Jun-Wen Wang
2024

被引用3 | 浏览

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】:本研究开发了一种羟基功能化离子液体(HPILs),在温和条件下高效催化CO2与 allyl glycidyl ethers (AGE) 的环加成反应,实现了高产物收率和选择性,并具有良好的催化剂稳定性和可回收性。

方法】:通过合成多种羟基功能化的离子液体,并在无溶剂条件下,利用这些离子液体作为催化剂,催化CO2与AGE的环加成反应。

实验】:在60°C、1 bar压力和5 mol%催化剂用量的条件下,使用[TDMPH]I催化剂,经过4小时反应,得到了98%的产物收率和大于99%的选择性。实验使用的数据集名称未在文本中提及。催化剂的回收通过乙基乙酸酯结晶实现,显示了其非均相催化剂特性及优异的循环稳定性和活性。