4.7 Article

Dispersing aminopolycarboxylate ionic liquids in mesoporous organic polymer for highly efficient and improved carbon capture from dilute source

期刊

JOURNAL OF MOLECULAR LIQUIDS
卷 338, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.molliq.2021.116653

关键词

Carbon capture; Ionic liquid; Mesoporous polymer; Amine functionalization; Chemical adsorption

资金

  1. National Natural Science Foundation of China [22008033]
  2. Natural Science Foundation of Jiangxi Province [20192ACB21016]

向作者/读者索取更多资源

Dispersing APC-ILs in PDVB is an effective approach to obtain adsorbents with high efficiency and improved performance for carbon capture from dilute sources, showing superior adsorption capacity and selectivity.
Y Aminopolycarboxylate ILs (APC-ILs)-a kind of anion-grafted amine-functionalized ILs enabling 1:2 stoichiometry of reaction with CO2-were dispersed in mesoporous organic polymer to achieve a new class of adsorbents. The mesoporous organic polymer selected herein is polydivinylbenzene (PDVB) that can be facilely synthesized by a solvothermal route without any templates. The prepared APC-IL@PDVB samples were then systematically characterized and investigated for carbon capture performance. It is found that APC-IL@PDVB samples can efficiently adsorb CO2 from dilute source, with the highest CO2 capacity of 1.65 mmol/g and IL utilization ratio of 1.53 mol/mol at 30 degrees C for 10 vol% of CO2 balanced in N-2. The CO2 capacities of APC-IL@PDVB samples surpass the values of most other solid-dispersed ILs, and the IL utilization ratios surpass the values of most non-dispersed ILs. The adsorption of CO2 by APC-IL@PDVB samples is also highly selective towards N-2, and reversible throughout consecutive adsorption-desorption cycles. Therefore, dispersing APC-ILs in PDVB is an effective approach to obtain adsorbents with high efficiency and improved performance for carbon capture from dilute source. (C) 2021 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据