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Rigid Ladder-Type Porous Polymer Networks for Entropically Favorable Gas Adsorption
ACS Materials Letters ( IF 9.6 ) Pub Date : 2019-11-25 , DOI: 10.1021/acsmaterialslett.9b00434 Sai Che , Jiandong Pang , Alexander J. Kalin , Chenxu Wang , Xiaozhou Ji , Jongbok Lee , Dylan Cole , Jia-Luo Li , Xinman Tu 1 , Qiang Zhang 2 , Hong-Cai Zhou , Lei Fang
ACS Materials Letters ( IF 9.6 ) Pub Date : 2019-11-25 , DOI: 10.1021/acsmaterialslett.9b00434 Sai Che , Jiandong Pang , Alexander J. Kalin , Chenxu Wang , Xiaozhou Ji , Jongbok Lee , Dylan Cole , Jia-Luo Li , Xinman Tu 1 , Qiang Zhang 2 , Hong-Cai Zhou , Lei Fang
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To improve methane storage capacity of porous organic materials, this work demonstrates that a rigid ladder-type backbone is more entropically favorable for gas adsorption and leads to a high gas uptake per unit surface area. A porous ladder polymer network was designed and synthesized as the model material via cross-coupling polymerization and subsequent ring-closing olefin metathesis, followed by characterization by solid-state nuclear magnetic resonance (NMR) spectroscopy. This material exhibited a remarkable methane uptake per unit surface area, which outperformed those of most reported porous organic materials. Variable-temperature thermodynamic adsorption measurements corroborated the significantly less negative entropy penalty during high-pressure gas adsorption, compared to its non-ladder-type counterpart. This method provides an orthogonal strategy for multiplying volumetric methane uptake capacity of porous materials. The entropic approach also offers the opportunity to increase deliverable gas upon pressure change while mitigating the performance decline in high-temperature applications.
中文翻译：
刚性梯型多孔聚合物网络，对熵有利于气体的吸附
为了提高多孔有机材料的甲烷存储能力，这项工作表明，刚性梯形骨架在熵方面更有利于气体吸附，并导致单位面积上的气体吸收量高。设计了多孔梯形聚合物网络，并通过交叉偶联聚合和随后的闭环烯烃复分解反应，然后通过固态核磁共振（NMR）光谱进行表征，将其合成为模型材料。该材料每单位表面积显示出显着的甲烷吸收率，优于大多数报道的多孔有机材料。与非阶梯型对应物相比，可变温度热力学吸附测量结果证实了在高压气体吸附过程中负熵损失显着降低。该方法为增加多孔材料的甲烷体积吸收能力提供了一种正交策略。熵方法还提供了在压力变化时增加可输送气体的机会，同时减轻了高温应用中的性能下降。
更新日期：2019-11-28
中文翻译：
刚性梯型多孔聚合物网络，对熵有利于气体的吸附
为了提高多孔有机材料的甲烷存储能力，这项工作表明，刚性梯形骨架在熵方面更有利于气体吸附，并导致单位面积上的气体吸收量高。设计了多孔梯形聚合物网络，并通过交叉偶联聚合和随后的闭环烯烃复分解反应，然后通过固态核磁共振（NMR）光谱进行表征，将其合成为模型材料。该材料每单位表面积显示出显着的甲烷吸收率，优于大多数报道的多孔有机材料。与非阶梯型对应物相比，可变温度热力学吸附测量结果证实了在高压气体吸附过程中负熵损失显着降低。该方法为增加多孔材料的甲烷体积吸收能力提供了一种正交策略。熵方法还提供了在压力变化时增加可输送气体的机会，同时减轻了高温应用中的性能下降。
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