Liang Jieying, Mazur Federico, Tang Chuyang, Ning Xunan, Chandrawati Rona, Liang Kang
School of Chemical Engineering , The University of New South Wales , Sydney , NSW 2052 , Australia . Email:
School of Environmental Science and Engineering , Guangdong University of Technology , Guangzhou 510006 , China . Email:
Chem Sci. 2019 Jul 22;10(34):7852-7858. doi: 10.1039/c9sc02021g. eCollection 2019 Sep 14.
Despite the promise of metal-organic frameworks (MOFs) as functional matrices for enzyme stabilization, the development of a stimulus-responsive approach to induce a multi-enzyme cascade reaction in MOFs remains a critical challenge. Here, a novel method using peptide-induced super-assembly of MOFs is developed for programmed enzyme cascade reactions on demand. The super-assembled MOF particles containing different enzymes show remarkable 7.3-fold and 4.4-fold catalytic activity enhancements for the two-enzyme and three-enzyme cascade reactions, respectively, as compared with the unassembled MOF nanoparticles. Further digestion of the coiled-coil forming peptides on the MOF surfaces leads to the MOF superstructure disassembly and the programmed enzyme cascade reaction being "switched-off". Research on these stimuli-responsive materials with controllable and predictable biocatalytic functions/properties provide a concept to facilitate the fabrication of next-generation smart materials based on precision chemistry.
尽管金属有机框架(MOF)作为酶稳定化的功能基质前景广阔,但开发一种刺激响应方法以在MOF中诱导多酶级联反应仍然是一项严峻挑战。在此,开发了一种利用肽诱导MOF超组装的新方法,用于按需进行程序化酶级联反应。与未组装的MOF纳米颗粒相比,含有不同酶的超组装MOF颗粒在双酶和三酶级联反应中分别表现出显著的7.3倍和4.4倍的催化活性增强。进一步消化MOF表面形成卷曲螺旋的肽会导致MOF超结构解体,程序化酶级联反应被“关闭”。对这些具有可控和可预测生物催化功能/特性的刺激响应材料的研究提供了一个概念,以促进基于精确化学的下一代智能材料的制造。