形状记忆效应通过连接物替代和CO2亲和力在灵活的SIFSIX协调网络中实现
Bai-Qiao Song1, Mohana Shivanna2, Mei-Yan Gao3
1College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, 610059, Chengdu, China.
Angewandte Chemie (International ed. in English)
|September 28, 2023
概括
灵活的协调网络中的单个原子变化产生了形状记忆效应. 这种新材料SIFSIX-23-CuN具有强烈的二氧化碳亲和力和出色的CO2/N2分离能力.
科学领域:
- 材料科学 材料科学 材料科学
- 化学 化学 化学
- 纳米技术 纳米技术
背景情况:
- 灵活的协调网络可以显示可逆相切换.
- 连接物修饰是调整材料特性的一个关键策略.
- 之前对SIFSIX-23-Cu的研究表明了可逆切换.
研究的目的:
- 调查链接器连接体替代对灵活协调网络属性的影响.
- 探索改性协调网络在气体吸附和分离方面的潜力.
- 了解观察到的形状记忆效应背后的机制.
主要方法:
- 合成了一个修改后的协调网络,SIFSIX-23-CuN.
- 在不同温度下进行气体吸附/脱附研究 (N2,CO2).
- 使用异热法分析相变的分析.
- 计算研究包括分子模拟和DFT计算.
主要成果:
- 在SIFSIX-23-CuN.中,联体替代诱导了形状记忆效应.
- 该材料形成了一个动力稳定的多孔相,具有高的CO2亲和力.
- 一个新的形状记忆阶段 (α') 显示出出色的CO2/N2分离性能 (选择性高达700).
- 观察到强大的结合能 (Qst = 45-51 kJ/mol) 和可逆相变.
结论:
- 单原子连接器修改可以有效地设计协调网络中的形状记忆效应.
- SIFSIX-23-CuN是选择性二氧化碳捕获和分离的一个有前途的材料.
- 观察到的现象为灵活的多孔材料的结构-性质关系提供了洞察力.
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