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基于可调控萘的多孔聚酰亚胺网络的选择性CO电还原

Selective CO Electroreduction from Tuneable Naphthalene-Based Porous Polyimide Networks.

作者信息

Narzary Basiram Brahma, Baker Benjamin C, Faul Charl F J

机构信息

School of Chemistry, University of Bristol, Bristol, BS8 1TS, UK.

出版信息

Adv Mater. 2023 May;35(20):e2211795. doi: 10.1002/adma.202211795. Epub 2023 Mar 31.

Abstract

A series of porous polyimides (pPIs) are synthesized, and their surface areas and pore sizes are optimized by the previously reported Bristol-X'an-Jiatong (BXJ) approach. How this approach can be used to tune and optimize the porous network properties to target and tune their ability to capture CO is demonstrated. Once optimized, these porous organic frameworks are utilized, for the first time, as electrocatalysts for the conversion of CO . The excellent Faradaic efficiencies (FEs) for the conversion of CO to formate (91%) and methanol (85%) present exciting opportunities for the metal-free generation of useful fuels and feedstocks from CO . In addition, the ability to directly address and select the conversion products through tuning of the porous materials' properties highlights the potential of this approach, and more generally for a wide range of organic frameworks as future metal-free CO reduction catalysts.

摘要

合成了一系列多孔聚酰亚胺(pPI),并通过先前报道的布里斯托尔-西安交通大学(BXJ)方法对其表面积和孔径进行了优化。展示了如何使用这种方法来调整和优化多孔网络特性,以靶向和调整其捕获CO的能力。一旦优化,这些多孔有机框架首次被用作将CO转化的电催化剂。将CO转化为甲酸盐(91%)和甲醇(85%)的优异法拉第效率(FE)为从CO无金属生成有用燃料和原料提供了令人兴奋的机会。此外,通过调整多孔材料的性质直接确定和选择转化产物的能力突出了这种方法的潜力,更广泛地说,对于作为未来无金属CO还原催化剂的各种有机框架也是如此。

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