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Enhancement of visible-light-driven CO2 reduction performance using an amine-functionalized zirconium metal–organic framework†
Dalton Transactions ( IF 4 ) Pub Date : 2017-12-06 00:00:00 , DOI: 10.1039/c7dt04062h
Manying Sun 1, 2, 3, 4, 5 , Siyu Yan 1, 2, 3, 4, 5 , Yujia Sun 1, 2, 3, 4, 5 , Xiaohan Yang 1, 2, 3, 4, 5 , Zhifen Guo 5, 6, 7, 8, 9 , Jianfeng Du 5, 7, 9, 10, 11 , Dashu Chen 1, 2, 3, 4, 5 , Peng Chen 4, 12, 13, 14, 15 , Hongzhu Xing 5, 6, 7, 8, 9
Affiliation  

By employing a conjugated amine-functionalized dicarboxylic ligand (H2L = 2,2′-diamino-4,4′-stilbenedicarboxylic acid, H2SDCA-NH2), we have successfully synthesized and characterized a porous and visible light responsive zirconium metal–organic framework ([Zr6O4(OH)4(L)6]·8DMF, denoted as Zr-SDCA-NH2). This Zr-MOF showed good chemical stability and broad visible light absorption with an absorption edge at about 600 nm. When used as a photocatalyst, Zr-SDCA-NH2 exhibits visible-light activity for CO2 reduction with a formate formation rate of 96.2 μmol h−1 mmolMOF−1, which is higher than the series of reported amine-functionalized Zr-MOFs. Mott–Schottky measurements, photoluminescence study and photocatalytic experiments demonstrated that the Zr6 oxo cluster through the LMCT process and the organic ligand both contributed to the CO2 photoreduction. This study indicates that the combination of amino groups and highly conjugated molecules is a feasible and simple strategy to extend light absorption of the organic ligand, which is beneficial for designing a visible light responsive MOF photocatalyst.

中文翻译:

使用胺官能化的锆金属-有机骨架 提高可见光驱动的CO 2还原性能

通过使用共轭胺官能化的二羧酸配体(H 2 L = 2,2'-二氨基-4,4'-二苯乙烯二羧酸,H 2 SDCA-NH 2),我们已经成功地合成并表征了多孔和可见光响应的锆金属-有机骨架([Zr 6 O 4(OH)4(L)6 ]·8DMF,表示为Zr-SDCA-NH 2)。该Zr-MOF显示出良好的化学稳定性和宽的可见光吸收,吸收边缘在约600nm。当用作光催化剂时,Zr-SDCA-NH 2表现出用于CO 2还原的可见光活性,甲酸形成速率为96.2μmolh -1mmol MOF -1,高于一系列报道的胺官能化Zr-MOF。Mott-Schottky测量,光致发光研究和光催化实验表明,通过LMCT过程形成的Zr 6羰基簇和有机配体都有助于CO 2的光还原。这项研究表明,氨基和高度共轭的分子的组合是一种可行且简单的策略,可以扩展有机配体的光吸收,这对于设计可见光响应型MOF光催化剂是有益的。
更新日期:2017-12-06
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