Deciphering Mechanisms of CO2-Selective Recognition over Acetylene within Porous Materials

Zhaoqiang Zhang,  and , Dan Zhao*, 
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Abstract

Reverse adsorption of carbon dioxide (CO2) from acetylene (C2H2) presents both significant importance and formidable challenges, particularly in the context of carbon capture, energy efficiency, and environmental sustainability. In this Review, we delve into the burgeoning field of reverse CO2/C2H2 adsorption and separation, underscoring the absence of a cohesive materials design strategy and a comprehensive understanding of the CO2-selective capture mechanisms from C2H2, in contrast to the quite mature methodologies available for C2H2-selective adsorption. Focusing on porous materials, the latest advancements in CO2-selective recognition mechanisms are highlighted. The review establishes that the efficacy of CO2 recognition from C2H2 relies intricately on a myriad of factors, including pore architecture, framework flexibility, functional group interactions, and dynamic responsive behaviors under operating conditions. It is noted that achieving selectivity extends beyond physical sieving, necessitating meticulous adjustments in pore chemistry to exploit the subtle differences between CO2 and C2H2. This comprehensive overview seeks to enhance the understanding of CO2-selective recognition mechanisms, integrating essential insights crucial for the advancement of future materials. It also lays the groundwork for innovative porous materials in CO2/C2H2 separation, addressing the pressing demand for more efficient molecular recognition within gas separation technologies.

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破译多孔材料中二氧化碳对乙炔的选择性识别机制
从乙炔(C2H2)中反向吸附二氧化碳(CO2)既具有重要意义,又面临严峻挑战,特别是在碳捕集、能源效率和环境可持续性方面。在本综述中,我们将深入探讨蓬勃发展的 CO2/C2H2 反向吸附和分离领域,强调与 C2H2 选择性吸附的相当成熟的方法相比,目前还缺乏一种具有凝聚力的材料设计策略,也缺乏对 C2H2 中 CO2 选择性捕获机制的全面了解。以多孔材料为重点,着重介绍了二氧化碳选择性识别机制的最新进展。综述指出,从 C2H2 识别 CO2 的功效取决于多种因素,包括孔隙结构、框架灵活性、官能团相互作用以及工作条件下的动态响应行为。报告指出,实现选择性不仅仅是物理筛分,还需要对孔隙化学进行细致调整,以利用二氧化碳和 C2H2 之间的微妙差异。本综述旨在加深对二氧化碳选择性识别机制的理解,整合对未来材料发展至关重要的重要见解。它还为 CO2/C2H2 分离领域的创新多孔材料奠定了基础,满足了气体分离技术对更高效分子识别的迫切需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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