Zhang Zhaofu, Zheng Yajing, Dou Zilong, Gu Mengnan, Sun Mengxiao, Song Jian, Gao Nan, Cui Fengchao, Tian Yuyang, Zhu Guangshan
Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Faculty of Chemistry, Northeast Normal University, Changchun, 130024, China.
ACS Cent Sci. 2023 Feb 16;9(3):488-493. doi: 10.1021/acscentsci.3c00078. eCollection 2023 Mar 22.
As materials with permanently porous structures and readily modifying availability, porous aromatic frameworks (PAFs) are considered as promising porous materials with versatile functionality. Currently the designable synthesis of PAFs with the desired surface area and pore size is still a challenge, and instead kinetically irreversible coupling reactions for PAFs synthesis has resulted in the unpredictable connection of building units. Herein, a series of PAFs with highly porous and hierarchical structures were successfully synthesized through a multivariate inspired strategy, where multiple building units with various topologies and sizes were selected for PAFs synthesis. All the PAFs synthesized through this strategy possessed hierarchical structures and high specific surface areas at the same time. Encouraged by their high surface area and hierarchical structures, we loaded lipase onto one of the multivariate PAFs. The enzyme loading content of the obtained lipase@PAF-147 was as high as 1456 mg g, which surpassed any other currently reported enzyme loading materials. The lipase@PAF-147 also exhibited favorable catalytic activity and stability to a model reaction of -nitrophenyl caprylate (-NPC) hydrolysis. This multivariate strategy inspired synthetic method broadens the selection of building units for PAFs design and opens a new avenue for the design of functional porous materials.
作为具有永久多孔结构且易于修饰的材料,多孔芳香框架(PAFs)被认为是具有多种功能的有前途的多孔材料。目前,合成具有所需表面积和孔径的可设计PAFs仍然是一个挑战,相反,PAFs合成中的动力学不可逆偶联反应导致了构建单元的不可预测连接。在此,通过多变量启发策略成功合成了一系列具有高度多孔和分级结构的PAFs,其中选择了具有各种拓扑结构和尺寸的多个构建单元用于PAFs合成。通过该策略合成的所有PAFs同时具有分级结构和高比表面积。受其高表面积和分级结构的鼓舞,我们将脂肪酶负载到其中一种多变量PAF上。所得脂肪酶@PAF-147的酶负载量高达1456 mg/g,超过了目前报道的任何其他酶负载材料。脂肪酶@PAF-147对辛酸对硝基苯酯(-NPC)水解的模型反应也表现出良好的催化活性和稳定性。这种多变量策略启发的合成方法拓宽了PAFs设计中构建单元的选择范围,并为功能多孔材料的设计开辟了一条新途径。