Lu Yan, Zhang Jie, Wei Wenbo, Ma Dong-Dong, Wu Xin-Tao, Zhu Qi-Long
State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter (FJIRSM), Chinese Academy of Sciences (CAS), Fuzhou 350002, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
ACS Appl Mater Interfaces. 2020 Aug 26;12(34):37986-37992. doi: 10.1021/acsami.0c06537. Epub 2020 Aug 13.
Electrochemical CO reduction represents a sustainable approach for the conversion of CO into valuable fuels and chemicals. Here, we fabricated a series of composite nanomaterials through template-oriented polymerization of covalent organic frameworks (COFs) with isolated cobalt porphyrin units on amino-functionalized carbon nanotubes for efficient electrocatalytic CO reduction reaction (CORR). Compared with pure COFs, the hybrid form of ultrathin COF nanolayers wrapped on the conductive scaffold leads to distended current density and stable Faradaic efficiency for CO-to-CO conversion over a wide potential range. Specifically, the catalytic performances of the system can be finely optimized by the modification of the reticular structure with different functional groups. Our work gives a new strategy for the preparation of highly active and selective electrocatalysts for CORR.
电化学CO还原是一种将CO转化为有价值的燃料和化学品的可持续方法。在此，我们通过在氨基功能化碳纳米管上以模板导向的方式将共价有机框架（COF）与孤立的钴卟啉单元进行聚合，制备了一系列复合纳米材料，用于高效电催化CO还原反应（CORR）。与纯COF相比，包裹在导电支架上的超薄COF纳米层的混合形式在很宽的电位范围内导致了扩展的电流密度和稳定的CO到CO转化的法拉第效率。具体而言，通过用不同官能团修饰网状结构，可以精细优化该系统的催化性能。我们的工作为制备用于CORR的高活性和选择性电催化剂提供了一种新策略。
