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Metalloporphyrin-based covalent organic frameworks composed of the electron donor-acceptor dyads for visible-light-driven selective CO 2 reduction
Science China Chemistry ( IF 10.4 ) Pub Date : 2020-07-30 , DOI: 10.1007/s11426-020-9801-3
Haowei Lv , Rongjian Sa , Pengyue Li , Daqiang Yuan , Xinchen Wang , Ruihu Wang

The visible-light-driven photocatalytic CO2 reduction with high efficiency is highly desirable but challenging. Herein, we present porphyrin-tetraphenylethene-based covalent organic frameworks (MP-TPE-COF, where M=H2, Co and Ni; TPE=4,4′,4″,4‴-(ethane-1,1,2,2-tetrayl) tetrabenzaldehyde; COF=covalent organic framework) as ideal platforms for understanding photocatalytic CO2 reduction at molecular level. Experimental and theoretical investigations have demonstrated crucial roles of metalloporphyrin units in selective adsorption, activation and conversion of CO2 as well as in the separation of charge carriers and electron transfer, thus allowing for flexible modulation of photocatalytic activity and selectivity. CoP-TPE-COF exhibits high CO evolution rate of 2,414 µmol g−1 h−1 with the selectivity of 61% over H2 generation under visible-light irradiation, while NiP-TPE-COF provides CO evolution rate of 525 µmol g−1 h−1 and 93% selectivity with superior durability. Moreover, the photocatalytic system is feasible for the simulated flue gas, which provides CO evolution rate of 386 µmol g−1 h−1 and selectivity of 77%. This work provides in-depth insight into the structure-activity relationships toward the activation and photoreduction of CO2.



中文翻译:

基于金属卟啉的共价有机骨架,由电子供体-受体二元组组成,用于可见光驱动的选择性CO 2还原

高效地期望可见光驱动的光催化CO 2还原,但是具有挑战性。在这里,我们提出了基于卟啉-四苯乙烯的共价有机骨架(MP-TPE-COF,其中M = H 2,Co和Ni; TPE = 4,4',4″,4′-(乙烷-1,1,2 (2-2-四基)四苯甲醛; COF =共价有机骨架)作为理解分子水平上光催化CO 2还原的理想平台。实验和理论研究证明了金属卟啉单元在选择性吸附,活化和转化CO 2中的关键作用以及在分离载流子和电子时,因此可以灵活调节光催化活性和选择性。COP-TPE-COF表现出2414的高CO释放速率微摩尔克-1 ħ -1 61%较H的选择性2代可见光照射下,而NiP的-TPE-COF提供的525微摩尔克CO释放速率- 1 h -1和93%的选择性,具有出色的耐久性。此外,光催化系统对于模拟烟道气是可行的,其提供的CO释放速率为386 µmol g -1 h -1选择性为77%。这项工作提供了对CO 2活化和光还原的构效关系的深入了解。

更新日期:2020-08-19
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